awareness inaugural meeting amsterdam 2010

Inaugural Meeting for AWARENESS partners

14-15 December 2010Amsterdam

FP7: FET Proactive Intiative: Self-Awareness in Autonomic Systems (AWARENESS)

Monday, 3 January 2011

Introductions


Meeting objectives

Get to know each other betterUnderstand the Awareness projects betterAppreciate areas of commonality and where we can work closer together Understand AWARE’s activities and how you can participate, or how you can influence theseAppreciate where the AWARE CA can help your project Get to know each other better !


Agenda

Tuesday

LunchIntroduction of each project (approx 15 mins each)Overview of AWARE CACoffeeCommunity BuildingPublicity and DisseminationTraining activitiesEmerging Research ThemesOnline Features Magazine Dinner

Wednesday

FET conference May 2011Awareness summer school’11Training materials WorkshopsWebsiteNewsletters and shared infoResearch exchangesRoadmappingCommon DaysLunch


ASCENS: Autonomic Service-Component Ensembles

The ASCENS approach will focus on service-component ensembles (SCEs), hierarchical ensembles built from service components (SCs), simpler SCEs and knowledge units (K) connected via highly dynamic infrastructure.

Partners:LMU MunichUniversità di PisaUniversità di FirenzeFraunhofer GesellschaftVERIMAG LaboratoryUniversità di Modena e Reggio EmiliaLero - University of LimerickUniversite Libre de BruxellesEPF LausanneVolkswagen AGZimory GmbHISTI (Third Party)

Prof. Dr. Martin Wirsing (Coordinator)Universität München, Institut für Informatik


http://www.ascens-ist.eu/partner-unipi

http://www.ascens-ist.eu/partner-unipi

http://www.ascens-ist.eu/partner-dsiuf

http://www.ascens-ist.eu/partner-dsiuf

http://www.ascens-ist.eu/partner-fraunhofer

http://www.ascens-ist.eu/partner-fraunhofer

http://www.ascens-ist.eu/partner-verimag

http://www.ascens-ist.eu/partner-verimag

http://www.ascens-ist.eu/partner-unimore

http://www.ascens-ist.eu/partner-unimore

http://www.ascens-ist.eu/partner-ul

http://www.ascens-ist.eu/partner-ul

http://www.ascens-ist.eu/partner-ulb

http://www.ascens-ist.eu/partner-ulb

http://www.ascens-ist.eu/partner-epfl

http://www.ascens-ist.eu/partner-epfl

http://www.ascens-ist.eu/partner-vw

http://www.ascens-ist.eu/partner-vw

http://www.ascens-ist.eu/partner-zimory

http://www.ascens-ist.eu/partner-zimory

http://www.ascens-ist.eu/isti

http://www.ascens-ist.eu/isti

The EPiCS project aims at laying the foundation for engineering the novel class of proprioceptive computing systems. Proprioceptive computing systems collect and maintain information about their state and progress, which enables self-awareness by reasoning about their behaviour, and self-expression by effectively and autonomously adapt their behaviour to changing conditions.

Partners:

University of PaderbornImperial College LondonUniversity of OsloKlagenfurt UniversityUniversity of BirminghamEADS Innovation Works, MunichSwiss Federal Institute of Technology ZurichAustrian Institute of Technology GmbH, Vienna

EPiCS: Engineering Proprioception in Computing Systems

Prof. Dr. Marco Platzner (Coordinator)

University of Paderborn


The RECOGNITION project concerns new approaches for embedding self-awareness in ICT systems. This will be based on the cognitive processes that the human species exhibits for self-awareness, seeking to exploit the fact that humans are ultimately the fundamental basis for high performance autonomic processes.

Partners:

Cardiff UniversityItalian National Research CouncilUniversity of CambridgeNational and Kapodistrian University of AthensEurécomUniversity of Florence

RECOGNITION: Relevance and cognition for self-awareness in a

content-centric Internet

Prof. Roger M. Whitaker (Coordinator)

Cardiff University


The objective of SAPERE is the development of a highly-innovative theoretical and practical framework for the decentralized deployment and execution of self-aware and adaptive services for future and emerging pervasive network scenarios.

Partners:

Università di Modena e Reggio Emilia

Birkbeck College – University of London

The University Court of the University of St Andrews

Alma Mater Studiorum – Università di Bologna

Johannes Kepler Universitaet Linz

SAPERE: Self-Aware Pervasive Service Ecosystems

Prof. Franco Zambonelli (Coordinator)Università di Modena e Reggio Emilia


The main focus of SYMBRION is to investigate and develop novel principles of adaptation and evolution for symbiotic multi-robot organisms based on bio-inspired approaches and modern computing paradigms. Such robot organisms consist of super-large-scale swarms of robots, which can dock with each other and symbiotically share energy and computational resources within a single artificial-life-form.

Partners

Universitaet Stuttgart Universitaet Graz Vrije Universiteit Universitaet Karlsruhe Flanders Institute for Biotechnology University of the West of England, Bristol Eberhard Karls Universitaet Tuebingen University of York (Universite Libre de Bruxelles Institut National de Recherche en Informatique et Automatique

SYMBRION: Symbiotic Evolutionary Robot Organisms

(funded by PerAda)

Serge Kernbach (Coordinator)Universitaet Stuttgart


Overview of AWARE

AWARE Coordination Action in Self-Awareness in Autonomic Systems


Main Objectives: what we hope to achieve

To encourage greater cooperation and exchange between projects funded under the FET Proactive Initiative Awareness

To support researchers and encourage international collaboration

To improve visibility for the grand challenges and methodological approaches identified by this community

To support training activities including summer schools and exchange activities

To help expand a repository of knowledge for researchers (improved synchronisation of concepts, terminology, approaches, etc)

To organise a range of workshops and research consultation events

To promote the field more widely, generating interest with publishers, national science funding agencies, and within commercial environments.


Main Activities

Website: a constant presence and focal point for the community, providing information across a range of topics for a variety of users

A series of workshops for learning, information dissemination and knowledge transfer opportunities

Research exchanges to encourage greater interdisciplinary research

Summer schools to train the next generation of researchers and extending skills to the whole community

Research consultations and future roadmapping activities

Newsletters to provide regular updates of research news and events

An online Magazine promoting features on self-awareness research

The Awareness Book aimed at the general science public and considering wider socio-technical, socio-political and/or environmental impact

Documentaries, including website videos and other promotional vidoes to create a coherent thematic narrative of Awareness research aimed at engaging a wider audience.


Main Activities

All Coordination Actions aim to provide good cross-over between activities and the AWARE team works closely together

Community Building: Emma Hart

Publicity and Dissemination: Jeremy Pitt

Training: Gusz Eiben, Martijn Schut and Willem van Willigen

Emerging Research Themes: Giacomo Cabri

Supported by Jennifer Willies, Ingi Helgason and Callum Egan

AWARE Project Coordinator: Ben Paechter


Community Building

Why are we doing this?

Encourage research exchange and development

Support interdisciplinary research across national and international boundaries

Develop activities, promote events and disseminate useful materials

To encourage greater cooperation and exchange between people interested in self-awareness


Community Building Activities

Website as unified resource for Awareness community

Gather and publicise information about research and researchers, publications, surveys, articles; conference and workshop details; training materials

Regular AWARE newsletters and informative mailings

Workshops events in key research areas, ideally at major conferences preferred by Awareness projects

Annual exchange event involving all Awareness-funded projects aimed at cross-cutting themes and roadmapping objectives

Encourage greater international research cooperation by offering travel bursaries to researchers and inviting key international experts to Awareness events


Publicity and Dissemination


Promote a common understanding of the science, technology and applications of self-aware systems across the range of Awareness projects.

Publicise and disseminate research results from the Awareness initiative, in an informative and accessible manner, through a number of conventional and innovative media.

Create lasting impact by producing tangible products whose utility to researchers and students will extend beyond the lifespan of the project


Publicity and Dissemination Activities

Website, promoting the public face of self-awareness in autonomic systems

Online Awareness magazine showcasing success stories and highlighting innovation and development in a popular science journalistic style

Awareness newsletter promoting ASCENS, EPiCS, RECOGNITION, SAPERE, SYMBRION and Awareness activities and events

Awareness book, an edited volume aimed at the general science public explaining the implications for science research

Awareness documentaries demonstrating project results, interviews with leading researchers to be disseminated via Awareness website, You Tube, and at workshops, science fairs, FET events


Training


To promote training as a form of knowledge transfer to help influence European commercial competitiveness

To organise educational and training activities

To produce training materials useful to academia and industry


Training Activities

Three summer schools, particularly aimed at PhD students, post-docs or those new to the field

Production of training materials for an academic course (8-12 weeks) and an educated layman seminar (1-3 hours)

Collation of presentations from conferences to assist researchers

Build and maintain a web-based knowledge distribution system

Work with Awareness-funded projects to develop suitable training events


Emerging Research Themes


Research pathfinding involving the Awareness community to determine strategic research directions

To identify potential for interdisciplinary cooperation across communities involved in Awareness-related research themes

To identify emerging research problems, key knowledge gaps and strategic developmental areas for problems related to self-aware and autonomic systems


Research Agenda Activities

Organising open web consultations to promote continuous dialogues including blog- and video interviews involving the Awareness projects

Organising consultation events bringing together researchers to identify key research issues (eg at FET11, main conferences)

Surveying and roadmapping within the Awareness community to provide an overview of research issues related to self-awareness in autonomic systems

Identifying potential synergies and complementarities within the research groups involved in the Awareness community, as well as with groups involved in other FET Proactive Initiatives

Monitoring relevant international research activities and initiatives


Specific Areas for Collaboration


Online Awareness magazine

Similar to PerAda magazine

60 feature articles highlighting innovation, like a journal

Promotion and explanation in 800 words; written in popular science style like New Scientist

Opportunity for wide audience and increase citations

Recommendations for good research stories


Awareness Keyword Cloud


Adaptation

• Adaption on multiple timescales• Organised adaptation• Adaptation to hostile situations• Adaptation to changing environments• Adaptation for robustness


Evolution/Emergence

Evolution• Evolution of new

collective behaviours• Open-ended evolution

Emergence• Emergent Systems• Emergent behaviours


Self-*

Self-properties• Self-expression• Self-optimisation• Self-organising networks• Self-organisation

Self-awareness• of state• about environment • of context• collective self-awareness• situation awareness


Awareness of me

• How do others see me ?• Look-* self-awareness• Is the environment aware of me ?


Learning/Behaviour

• Learning• Cognition• Filtering• Characteristics of behaviours• Opportunistic behaviour• Knowledge• Knowledge-intensive systems


Distribution and collectives

Distributed• Decentralised systems• Distributed artificial

intelligence• Robust distributed

systems• Distributed Control

Collectives• Collective intelligence• Global behaviour – local

decisions• Coordination

technologies• Collaborative decision

making


System Properties

Robust/Resilient• Fault tolerance• Robustness to sub-ideal

operation• Resilience

Others!• Relevant• Out of control• Homeostasis• Efficient• Autonomous


Socially Inspired

• Social media• Social cognition• Human cognition• Human in the loop• Augmented society• Social networking• Socio-technical combinatorics


Services/Systems

• Adaptive middleware• Architecture support for adaptivity• Self-joining services• Common services (middleware)• Service oriented architecture• Autonomic service components


Information and Modelling

Information/Recognition• Introspection about

norms and conventions• Utility of information• Intention recognition• Event recognition

Models• Meta-modelling of run-

time behaviour• Organisational models• Modelling the

environment• modelling inner state


Techniques/Systems

Techniques• Bio-inspired computing• Stream computing• Software-engineering• Pervasive computing• Social computing• E-mobility• Languages

• Measurement

Systems• Multi-agent systems• Ensembles• Self-governing

ensembles• Cloud computing• Sensor networks• Eco system• Robot swarms• Autonomous systems


Questions

• How does self-awareness relate to self-* ?• How are self-aware systems designed ?• What are meaningful applications of self-

awareness ?• How do we program such systems ?• How do we enable innovations ?


Open consultation and networking session on common related to self-awareness in autonomic systems

90 mins: decide best format

What are the key issues to address?

Proposal limited to 500 words and deadline is 15 Jan

FET11: 4-6 May in Budapest

From FET11 Call for Sessions:Should address a topic that is embryonic, multidisciplinary, transformative or foundational. Should aim to present state-of-the-art, develop broad visions and new concepts and identify resulting challenges for frontier research. Should feature a broad range of views, enabling different disciplines to come together and engage in a dialogue that creates a wider context.Highly interactive & unconventional session designs are welcome.

Selection criteria based on 1. Scientific and technological content

• novelty and interest of proposed topic, including possible creation of new area or transformation of existing area

• quality of proposed speakers• relevance to Future and Emerging Information Technologies• impact on science, technology or science policy• building of new collaborations, in particular across disciplines

2. Target group• key people/communities identified (e.g. diversity of actors)• level (not aimed too narrow/technical or too broad)• likely interest from addressed communities

3. Design and preparation• quality of session design• opportunity for interaction


Awareness Summer School 2011

Summer School 2011:

Early September : 5-6 days

Countryside, mountains or seaside : accommodation included

Anticipated numbers 25-35

Format: lectures and teamwork projects, practical examples, good social events, end-of-week presentations

Participants: PhD students, post-docs, yours?


Awareness Training Materials

Aim: to set up teaching repository on awareness

Focus now is downloadable slides/presentations

Focus later: might include text book

Templates for consistency wrt formatting and layout, but also wrt content, terminology, concepts etc

Input from summer school teaching materials, Awareness project, workshops

Weekend lock-in in a nice place!

Output to open courseware, tutorials, ITunesU, mobile apps (iOS, Android)

Bottom up process - input from projects

Visualisation and tag-cloud development


Organisation of workshops and support for workshops

Topics for workshops

What are the main conferences to aim for?

SASO 2011: Michigan Oct (SAPARE plus AWARENESS workshop)

ICAS 2011 Venice May

ICAC 2012 (intl conf autonomic computing)

SAKS 2011 Kiel, March

SAAES 2011 Algarve March

SEAMS 2011, Waikiki May

IROS San Francisco Sept

ACM-SAC

Workshop Planning


current website: www.aware-project.eu

More than the sum of our parts

Wordpress blog

Uses model of magazine/newspaper

Conversational (commenting system)

Main point of entrance to AwarenessTagged navigation: highly optimised for findability

Multimedia content for maximum publicity on activities and events

Repository for resources, CFPs, surveys

RSS/Twitter/Facebook


http://www.aware-project.eu


Optimisation of Awareness for search engines

• the key is to get the Information Architecture right

• reciprocal linking is hugely important, esp. for a ubiquitous term such as awareness

• keyword/phrase/theme density in web writing is equally important

• integrating the websites will help to push all sites up the search engine rankings

• by creating a highly visible research portal our research community will grow in numbers and across borders

• please contact me with any keywords/phrases/themes that are core to this research domain:[email protected]

• please link from your homepage to ours and link from your own web pages to each others and ours (thus, creating an AWARENESS network)


mailto:[email protected]


Awareness website

Interviews and short films on different subjects

Explaining project research to wider audiences

Awareness project documentaries


Newsletters, documentaries and shared information

Newsletters publicising project research, Awareness events, what is going on

Documentaries and website video clip

Let us help you with your project!

Let us capture your passions, your beliefs and your views on different subjects


Research exchanges

Six monthly simple application process

Aimed at multi-disciplinary collaboration between academics and/or industry

Contribution to travel/accommodation costs (need match funding, or in kind)

Short article for website to follow


Roadmapping consultations

Online blogging: how will this work?

Keyword recombination

What information researchers expect to find, and how will this help?

Online videos with experts’ opinions

Consultation events: what are the best formats and who to involve?

How best to represent the Living Document, how and who to shape it?


Awareness Common Days

First to be organised around Reviews next Oct?

Or at other suitable events?

Common subjects appropriate to most/all projects?

How to collate ideas and move forward?


What else can Awareness do for you?

Other ideas?

Over to you!

Contact us : www.aware-project.eu

Jennifer Willies: [email protected]

Callum Egan: [email protected]

Ingi Helgason: [email protected]








http://www.awarenes

http://www.awarenes

http://www.awarenes

http://www.awarenes

Future Emerging

Technologies

www.ascens-ist.eu

ASCENS Project

Martin Wirsing, Matthias Hölzl, Nora Koch

LMU Munich, Germany

AWARENESS meeting

Amsterdam, 14.12.2010

2 Seite

Partners

LMU Ludwig-Maximilians-Universität München

UNIPI Università di Pisa

UDF Università di Firenze together with

ISTI Istituto di Scienza e Tecnologie della Informazione “A. Faedo”

Fraunhofer Fraunhofer Gesellschaft (FIRST, Berlin)

VERIMAG Université Joseph Fourier Grenoble 1 (VERIMAG Lab.)

UNIMORE Università di Modena e Reggio Emilia Italy

ULB Université Libre de Bruxelles Belgium

EPFL Ecole Polytechnique Fédérale de Lausanne

VW Volkswagen AG

Zimory Zimory

UL University of Limerick (with University of Dublin)

2 www.ascens-ist.eu

3 Seite

Goal

3 www.ascens-ist.eu

Autonomous Service-Component

Ensembles

4 Seite


Ensembles

Goal

4 www.ascens-ist.eu

5 Seite


Ensembles

Heterogeneous

Massive number of nodes

Complex interactions or complex nodes

Open-ended, non-deterministic environment

Need to adapt to environment, new requirements

Goal

5 www.ascens-ist.eu

6 Seite

Building Ensembles

6 www.ascens-ist.eu

Open environments

Non-determinism

Changing requirements

Reliable

Predictable

Resilient

Fault tolerant

Complexity

8 Seite

Overview

SCEs

Knowledge

Self-awareness

Correctness

Foundational models

Case-studies

8 www.ascens-ist.eu

9 Seite

Overview

SCEs

Knowledge

Self-awareness

Correctness

Foundational models

Case-studies

9 www.ascens-ist.eu

Language

Engineering

Tool-integration

platform

10 Seite

Service-Component Ensembles

10 www.ascens-ist.eu

11 Seite

Research Topics

Language and Logics

Foundational Models

Correctness

Knowledge Representation

and Self-Awareness

Adaptation and Dynamic

Self-Expression

Tools and Tool

Integration

Engineering and

Best Practices


13 Seite

Case Studies

Self-Aware Robots

Science Cloud

e-Mobility


14 Seite

Thank You...

... for your attention!


Engineering Proprioception in Computing SystemsEngineering Proprioception in Computing SystemsEngineering Proprioception in Computing SystemsEngineering Proprioception in Computing Systems(EPiCS)(EPiCS)

—— Project Overview Project Overview ——

M Pl tMarco [email protected]

AWARE MeetingAWARE MeetingAmsterdamDecember 14-15, 2010

OutlineOutline•• Proprioceptive Computing Systems: PCSProprioceptive Computing Systems: PCS• EPiCS Consortium• EPiCS Consortium• Applications• Concepts and Foundations• Hardware/Software PlatformHardware/Software Platform• Networking and Middleware

Proprioceptive Computing Systems: PCSProprioceptive Computing Systems: PCS• PCS characteristics

– use proprioceptive sensors to monitor “one self” (concept from psychology, robotics/prosthetics, …, fiction)

– reason about their behaviour (self-awareness) – effectively and autonomously adapt their behaviour to

changing conditions (self-expression) proprioceptive sensors

• engineering PCS– transfer concepts of self-awareness/-expression

to computing and networking domains Learningto computing and networking domains– optimise performance and resource usage in

response to changing conditions – analyse limits for designing and operating

self-adaptive models of- the environment

lf

Self-awareness

y g g p gtechnological systems

• study suitability for different application domainsfinancial modeling on heterogeneous compute clusters

Feedback

- one self

Self-expression– financial modeling on heterogeneous compute clusters– person detection & tracking on distributed smart cameras – hypermusic on interactive mobile media systems

self-adaptive strategies

Self expression

2

Strategy

EPiCS ConsortiumEPiCS ConsortiumEPiCS: IP, 09/10-08/14, 8 partners from 5 countries, www.epics-project.eu

1. UPB (DE) University of Paderborn, Marco Platzner (coordinator)2 IMPERIAL (UK) I i l C ll L d W L k (WP3 l d)2. IMPERIAL (UK) Imperial College London, Wayne Luk (WP3 lead)3. UIO (NO) University of Oslo, Jim Torresen (WP5 lead)4. UNI-KLU (AT) Klagenfurt University, Bernhard Rinner5. UOBIRM (UK) University of Birmingham, Xin Yao (WP2 lead)6. EADS (DE) EADS Innovation Works Munich, Stephan Stilkerich7. ETHZ (CH) Swiss Federal Institute of Technology Zurich, Bernhard Plattner (WP4 lead)8. AIT (AT) Austrian Institute of Technology GmbH Vienna, Roman Pflugfelder

UNI-KLU, AIT

IMPERIAL

UIO UPB,

ETHZ

3

UIO

UOBIRM

,EADS

ApplicationsApplications• characteristics

– heterogeneous distributed systems, changing topologies, changing environments– high-performance and embedded computing– embedded into technical and non-technical contexts– classic design, operation, and management principles will fail

• heterogeneous compute cluster for financial modelling– accelerate workloads in data centres and cloud computing systems with latest

hardware technologies (GPU, FPGA) g ( , )– case studies: asset pricing and algorithmic trading

• distributed smart cameras for safety and security• distributed smart cameras for safety and security – real-time distributed embedded systems for computer vision using multiple cameras– case studies: person and object detection and tracking

• interactive mobile media system– active music allows the listener to control and adjust the music based on movements

4

– case study: hypermusic for joint music experience

App: Compute Cluster for Financial ModellingApp: Compute Cluster for Financial ModellingGigabit Ethernet Infiniband

System Memory

Heterogeneous Compute Node (HCN)

AMD PhenomQ d C

nVidia Tesla240 cores

Memory

Video Memory

Quad-Core

Xilinx FPGAcustom logic

Multi-Bank Memory

System I/O

PCI

HCN1

HCN0PCIe• challenges

– many code variantsdiff t Q S d d– different QoS demands

– dynamic scheduling to optimize speed or energyself optimization and self verification

5

HCNx– self-optimization and self-verification

App: Distributed Smart CamerasApp: Distributed Smart Cameras• challenges

– different appearance, occlusion – coordination of network resources – cooperation among cameras

cam node cam node cam node

TT Ethernet

middleware

6

application(comp. vision)mgt node

App: Interactive Mobile Media SystemApp: Interactive Mobile Media System• music

– pre-recorded– passive listeners

• hypermusic– programmed, partially pre-recorded– passive OR active listeners

– control (discrete)– start, stop, volume, fast fwd,

rewind, next/previous track

– control (continuous)– energy, expressivity, mood,

beat, pitch, timbre– social musical interaction

• challenge: extract and analyse motion information from sensors by machine learning to make new musical systems

Action Controller MappingSound Engine Sound

Instrument

7

Engine

Concepts and FoundationsConcepts and Foundations• research topics

– develop abstract models and clear problems for study – design algorithms for online learning in uncertain, dynamic, self-organisingdesign algorithms for online learning in uncertain, dynamic, self organising

environments, e.g. bio-inspired, consensus, and game-theoretic techniques; bandit solvers, ensemble learning

– develop mechanisms to ensure desirable global behaviourdevelop mechanisms to ensure desirable global behaviour– understand the effect of interacting nodes’ objectives,

strategies and behaviour on overall robustness, performance and quality of service

Learningp q y

– exploit self-awareness in order to learn to anticipate changes in the environment

– create software toolkit as a testbed and

self-adaptive models of- the environment- one self

Self-awareness

create software toolkit as a testbed and demonstration aid Feedback

o e se

Self-expression

self-adaptive strategies

8

Strategy

Hardware/Software PlatformHardware/Software Platform

CPU core(hardcore)

applications, quality of service requirements, Learning CPU core

(softcore)CPU core(softcore)

interconnect

(hardcore)

swthread

novel OS layer

Feedback

q ,system state

Self-awareness

(softcore)

swthread

novel OS layer

(softcore)

swthread

novel OS layer

interconnect

hwthread

novel OS layermonitoring core(proprioceptive

sensors)

Self-expression

Feedback

hwthread

novel OS layer

reconfigurable hardware core

sensors)

Strategy

thread assignment &migration, hardware reconfiguration, power & thermal management

reconfigurable hardware core

• research topicsdevelop architecture & operating system for autonomous heterogeneous multi core– develop architecture & operating system for autonomous heterogeneous multi-core

– investigate self-expression through vertical function migration– investigate self-expression through self-optimisation

ensuring correctness through self verification

9

– ensuring correctness through self-verification– ensuring reliability through thread-level fault tolerance

Networking and MiddlewareNetworking and Middlewarenetwork: threat level, congestion, error rate, locality, …

L inode: battery status, available hardware, user demands,environment, …

Learning

Self-awareness

prediction routing

application

Self-expression

Feedback monitoringsecurity

transport

Strategyprotocol graph adaptation,hw/sw thread assignment

linktransport

• research topicsp– develop autonomous networking architecture based on self-aware node technology– develop resource-aware middleware enabling horizontal function migration– investigate in-network self-calibration techniques

10

investigate in network self calibration techniques– ensure reliability through network-level fault tolerance

Engineering Proprioception in Computing SystemsEngineering Proprioception in Computing SystemsEngineering Proprioception in Computing SystemsEngineering Proprioception in Computing Systems(EPiCS)(EPiCS)

—— Project Overview Project Overview ——

M Pl tMarco [email protected]

AWARE MeetingAWARE MeetingAmsterdamDecember 14-15, 2010

OutlineOutline•• Proprioceptive Computing Systems: PCSProprioceptive Computing Systems: PCS• EPiCS Consortium• EPiCS Consortium• Applications• Concepts and Foundations• Hardware/Software PlatformHardware/Software Platform• Networking and Middleware

RECOGNITION: Relevance andRECOGNITION: Relevance and Cognition for Self‐Awareness in

a Content‐Centric Internet

Stuart M. Allen, Franco Bagnoli, Gualtiero Colombo, gMarco Conti, Jon Crowcroft, Chris Jones, Pietro Liò,

Refik Molva, Melek Onen, Andrea Passarella, k k h k k kIoannis Stavrakakis, Roger M. Whitaker, Eiko Yoneki

RECOGNITION overviewDecember 2010

1

Motivation: Technological TrendsMotivation: Technological Trends• Participatory generation of contentp y g

– Prosumers, diversity, expanding edges– Long tail, swamping, scale!

• Content in the environment– Linkage of the physical and virtual worlds– Embedding content and knowledge

• Acquiring knowledge through social q g g gmechanisms– Blogging, social networking, recommendation, RSS feeds…

• How content reaches users will ti t h


continue to change…2

Self‐awareness to support technological trends

• Our Intention: Paradigm to support ICT f tiICT functions – Enabling content centricity

• Better fitting of users to content and vice• Better fitting of users to content and vice versa

– Synchronize content with human activity and needs

• Place, time, situation, relevance, context, social searchsocial search

– Autonomic management• Of content, its acquisition and resource

lRECOGNITION overview

December 2010

utilization

3

Human Awareness BehavioursHuman Awareness Behaviours

A h C & l i k• Approach: Capture & exploit key behaviours of the most intelligent living speciesliving species– Human capability is phenomenal in navigating complex & diverse stimulinavigating complex & diverse stimuli

– Filter & suppress information in “noisy” situations with ambient stimuli

– Extract knowledge in presence of uncertaintyE i id l j d t f– Exercise rapid value judgment for prioritisation

– Engage a social context and multi‐scale


Engage a social context and multi scale learning

4

Human Awareness BehavioursHuman Awareness Behaviours

Cognitive psychological basisFor awareness and understanding

Defining key principles for exploitation by technology componentstechnology components

Embedding these principles for self‐awareness in autonomic content acquisition in pervasive environments

Potential change in behaviour due to self–awareness in ICT


5

Overview of StructureOverview of Structure

UNIFI LEADCU LEAD

CNR LEAD

NKUA LEAD UCAM LEADRECOGNITION overview

December 20106

NKUA LEAD UCAM LEAD

Providing Autonomic Content Management

Th h R iti “N d ” t t b lf• Through Recognition “Nodes”, content becomes as self‐aware as devices

• Allow individuals to gain content that they didn’t know g ythey wanted…

• Geo‐Informatics: space, place, time…C t t l t & t i l b d it ti d l ti– Content placement & retrieval based on situation and location

• Storage and forwarding decisions based on relevance from:– Social contextSocial context– Location & environment

• Trust & security management– Uncertainty & belief


7

Interdisciplinary DimensionsInterdisciplinary Dimensions

– Complex systems

– Artificial intelligence

– Geo‐informatics

– Cognitive psychology– Cognitive psychology

– Information retrieval

– Communication systems

– Security, trust


8

Key QuestionsKey Questions…

• Psychology– What key concepts should be develop/include?y p p/

– Can these be used in different parts of the project?

• Scenarios• Scenarios– What contemporary areas of “social computing” are key to prioritise?key to prioritise?

– What would have the biggest impact?

– Are there demo’s that could be developed?

• Other questions…….


9

Proposal: “Psychology” areasProposal: Psychology areas

b b l l d l• Recognition, Probabilistic Mental Models, Heuristics

H h t i ti f t– Human characteristics for agents– Decision making under bounded rationality

• Social Learning• Social Learning– Observing, retaining, learning, replicating (mimicking)

• Spatial Cognition• Spatial Cognition– Space, place, context

• Belief Desire and Intention models• Belief, Desire and Intention models– Pulling from different areas of psychology but not fully grounded


grounded

10

1 Relevance Theory1 ‐ Relevance Theory• Sperber and Wilsonp

– Non‐coding model of communication– Inferential model taking into account context via “utterances”

– provide "cognitive effects" worthy of the processing effort required to find theprocessing effort required to find the meaning

• The speaker purposefully gives a clue to the hearer

• The hearer infers the intention from the clue and the context‐mediated information. The hearer must interpret the clue, taking into account the context, and surmise what the speaker intended to communicate.


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2 Judgment & Decision Making2‐ Judgment & Decision Making

• Work of Daniel Goldstein et al

– Heuristics that make us smart…• “Take the best” heuristic• Recognition heuristic

Bounded rationality– Bounded rationality• Limited direct knowledge/partial info• Fast inference has to be made• Fast inference has to be made…


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2 Judgment & Decision Making2‐ Judgment & Decision Making • Take the best heuristicTake the best heuristic

– judgment based on multiple criteria• the criteria are tried one at a time• the criteria are tried one at a time according to their “cue validity”

• high cue validity for a given feature g y gmeans that the feature or attribute is more diagnostic of the class membership than a feature with low cue validitythan a feature with low cue validity

– a decision is made based on the first discriminating criteriondiscriminating criterion

• the heuristic did well at making accurate inferences in real world environments


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2 Judgment & Decision Making2‐ Judgment & Decision Making • Recognition heuristicRecognition heuristic

– If one of two objects is recognized and the other is not then infer that thethe other is not, then infer that the recognized object has the higher value with respect to the criterion.p

– Sensitive to the criterion• Methodology for “cue validity”Methodology for cue validity

– Less‐is‐more effect • Limited information does not impedeLimited information does not impede performance (to the contrary!)


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3 Spatial Cognition3‐ Spatial Cognition• Human understanding and meaning forHuman understanding and meaning for ill‐defined but commonly used spatial terms

• South east…• South Wales• Central london

• Use of these in geo‐spatial content g pso that it can become self‐aware


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Key QuestionsKey Questions…

• Psychology– What key concepts should be develop/include?y p p/

– Can these be used in different parts of the project?

• Scenarios• Scenarios– What contemporary areas of “social computing” are key to prioritise?key to prioritise?

– What would have the biggest impact?

– Are there demo’s that could be developed?

• Other questions…….


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Candidate ScenariosCandidate Scenarios

• Information Retrieval & content provision– Human awareness when using search engine interfaces – e.g., automatic cue detection & HCI

• Self‐aware Multimedia and “Active” Data– MP3, other types of content– Self‐aware meta‐data for spatial problemsSelf‐aware meta‐data for spatial problems

• Social Computingd i d i fil i i– Crowd sourcing, recommendation, filtering, micro‐

blogging, tagging


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RECOGNITION: Relevance andRECOGNITION: Relevance and Cognition for Self‐Awareness in

a Content‐Centric Internet

Stuart M. Allen, Franco Bagnoli, Gualtiero Colombo, gMarco Conti, Jon Crowcroft, Chris Jones, Pietro Liò,

Refik Molva, Melek Onen, Andrea Passarella, k k h k k kIoannis Stavrakakis, Roger M. Whitaker, Eiko Yoneki


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SAPERE: Self‐aware Pervasive Service Ecosystems

Franco Zambonelli

Università di Modena e Reggio Emilia

STREP – 3 years

www sapere‐project euwww.sapere‐project.eu

1AWARE Meeting ‐ December 14, 2010

The ConsortiumThe Consortium

• Università di Modena e Reggio Emilia– Franco Zambonelli & Marco MameiFranco Zambonelli & Marco Mamei

• Birkbeck College University of LondonGiovanna Di Marzo Serugendo– Giovanna Di Marzo Serugendo

• Alma Mater Studiorum – Università di Bologna– Mirko Viroli & Andrea Omicini

• St. Andrews University– Simon Dobson

• Johannes Kepler Universitaet Linzp– Alois Ferscha


The ScenarioThe Scenario

• Pervasive computing– Sensor rich and always connected smart phones – Sensor networks and information tags– Localization and activity recognitionInternet of things and the real time Web– Internet of things and the real‐time Web

• Innovative pervasive services arising– Situation‐aware adaptationSituation aware adaptation – Interactive reality – Pervasive collective intelligence and pervasive participation

• Open co‐production scenario, very dynamic, diverse needs and diverse services, continuously evolving


The Overall ObjectiveThe Overall Objective

• Develop and demonstrate a highly‐innovative theoretical and practical framework for pervasive service ecosystemsservice ecosystems– Adaptivity and self‐management as inherent properties of the ecosystemy

– Systemic self‐awareness as an observable property of the overall systemLong lasting (eternal) adaptivity– Long‐lasting (eternal) adaptivity

– Bio‐chemical inspiration• Foundational re‐thinking ofFoundational re thinking of

– Service architectures and associated middleware– Self‐* algorithms and contextual knowledge management


The Architectural ApproachThe Architectural Approach

• Open production model• Smooth data/services

distinction– LSA live semantic

annotations• InteractionsInteractions

– Sorts of bio‐chemical reactions among components

– In a spatial substrateIn a spatial substrate• Eco‐laws

– Rule all interactionsDiscovery + orchestration– Discovery + orchestration seamlessly merged

• Built over a pervasive network world

AWARE Meeting ‐ December 14, 2010 5

world

Specific ObjectivesSpecific Objectives

• Both of a scientific and technological nature

• Around which the various WPs are organized


Model Structures and KnowledgeModel, Structures, and Knowledge

• M d l & M th d l• Model & Methodology– Innovative chemical‐inspired semantic model for interactions among

components and their dynamic composition/aggregationS ti (LSA) d i ti d ti tt thi– Semantic (LSA) description and semantic pattern‐mathing

– Uniform traitment of data and services– Methodological guidelines associated

• Structures & Space– Model distributed self‐* algorithms via the chemical LSA framework– Innovative flexible means for aggregation and compositiongg g p– Define decentralized means to control the behaviour of the ecosystem

• Knowledge & Time– Distributed knowledge management algorithms via the LSA framework– Distributed knowledge management algorithms via the LSA framework– Define new means to perform distributed recognition of current situations– As well as to enable recognition of future situations


Key Challengesy gfor model, structure and knowledge

C h i ll i i d t ti d l d th• Can our chemically‐inspired computation model and the eco‐laws?– Be flexible and general‐purpose enough?g p p g– Effectively deal with the complexity and diversity of modern

pervasive scenarios?– Be effectively implementable?Be effectively implementable?

• And, for structure and knowledge– Can it accommodate all needed distributed aggregation and

lf iti l thiself‐composition algorthims– Can it express all needed forms of knowledge management?

• Or should we rather go for application‐specific (or location‐Or should we rather go for application specific (or locationspecific) eco‐laws?


Infrastructure and ApplicationsInfrastructure and Applications

• I f t t• Infrastructure– A very lightweight infrastructure– Ruling all interactions (from discovery to data exchange and

h i ti ) b b ddi th t f lsynchronization) by embedding the concept of eco‐laws– To most extent, acting as a recommendation and planning engine– Possibly inspired by tuple space coordination models– Yet made it more “fluid” and suitable for a pervasive computing

continuum substrate not a network but a continuum of tuple spaces

• Applications– The “Ecosystem of Display” as a general and impactful testbed– To put at work and demonstrate the SAPERE findingsp g– Active and dynamic information sharing in urban scenarios– Active participation of citizens to the working of the urban infrastructure


Key Tangible Resultsy g(hopefully)

• A novel model and methodology to support the development of complex service systems in open and dynamic pervasive scenariosscenarios

• A uniform set of:– Self‐* algorithms for service/data composition and aggregation (in

th f f lib i )the form of libraries)– Algorithms and tools for distributed management of contextual‐

knowledge, to enforce present‐ and future‐awareness in the ecosystem

• A novel middleware for pervasive computing scenarios (Open Source))– Integrating the stated algorithms in the form of libraries

• A set of released innovative application showcased on the E t f Di l t tb dEcosystem of Displays testbed


KEYWORDS

Awareness MeetingAwareness Meeting

AdaptationAdaptation

• Adaption on multiple timescales

• Organised adaptationOrganised adaptation

• Adaptation to hostile situations

• Adaptation to changing environments

• Adaptation for robustnessAdaptation for robustness

Evolution/EmergenceEvolution/Emergence

Evolution

• Evolution of new collective

Emergence

• Emergent Systemsbehaviours

• Open‐ended evolution• Emergent behaviours

Self *Self‐

Self‐properties

• Self‐expression

Self‐awareness

• of state

• Self‐optimisation

• Self‐organising networks

• about environment

• of contextg g

• Self‐organisation • Collective self‐awareness

• Situation awareness

Awareness of meAwareness of me

• How do others see me ?

• Look‐* self‐awarenessLook self awareness

• Is the environment aware of me ?

Learning/BehaviourLearning/Behaviour

• Learning

• CognitionCognition

• Filtering

• Characteristics of behaviours

• Opportunistic behaviourOpportunistic behaviour

• Knowledge

• Knowledge‐intensive systems

Distribution and collectivesDistribution and collectives

Distributed

• Decentralised systems

Collectives

• Collective intelligence

• Distributed artificial intelligence

• Global behaviour – local decisions

• Robust distributed systems

• Distributed Control

• Coordination technologies

• Collaborative decision making

System PropertiesSystem Properties

Robust/Resilient

• Fault tolerance

Others!

• Relevant

• Robustness to sub‐ideal operation

• Out of control

• Homeostasis• Resilience • Efficient

• Autonomous

Socially InspiredSocially Inspired

• Social media

• Social cognitionSocial cognition

• Human cognition

• Human in the loop

• Augmented societyAugmented society

• Social networking

• Socio‐technical combinatorics

Services/SystemsServices/Systems

• Adaptive middleware

• Architecture support for adaptivityArchitecture support for adaptivity

• Self‐joining services

• Common services (middleware)

• Service oriented architectureService oriented architecture

• Autonomic service components

Information and ModellingInformation and Modelling

Information/Recognition

• Introspection about norms

Models

• Meta‐modelling of run‐time and conventions

• Utility of information

behaviour

• Organisational models

• Intention recognition

• Event recognition

• Modelling the environment

• modelling inner state

Techniques/SystemsTechniques/Systems

Techniques• Bio‐inspired computing

Systems

• Multi‐agent systems• Stream computing• Software‐engineering

• Ensembles

• Self‐governing ensembles• Pervasive computing• Social computing

bili

g g

• Cloud computing

• Sensor networks• E‐mobility• Languages

• Eco system

• Robot swarms

• Measurement • Autonomous systems

QuestionsQuestions

• How does self‐awareness relate to self‐* ?

• How are self‐aware systems designed ?How are self aware systems designed ?

• What are meaningful applications of self‐?awareness ?

• How do we program such systems ?p g y

• How do we enable innovations ?

awareness inaugural meeting amsterdam 2010

Technology

biotechnology university

modena e reggio emiliamonday

autonomic systemsmonday

awareness partners14

methodological approaches

computing systemsprof

project approx

ict systems