tns living lab by yiouli kritikou

Telecommunication Networks and integrated Services (TNS) Laboratory

Department of Digital Systems

University of Piraeus Research Center (UPRC) University of Piraeus

Laboratory Profile

Prof. Panagiotis Demestichas, Dr. Yiouli Kritikou, Dr.

George Dimitrakopoulos Email: [email protected], [email protected] ,

[email protected] http://tns.ds.unipi.gr/

TNS - UPRC Profile – January 2012

Outline

v  Profile (brief) Ø  Institution, department, laboratory

v  Past and ongoing research activities Ø  Legacy assets – Completed research activities Ø  Emerging assets – Ongoing research activities

v  Future interests regarding research activities Ø  Evolution of ICT infrastructures and services Ø  ICT and energy, transportation, environment management, sustainable growth,

Internet-connected social vehicles

v  Concluding remarks

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Profile (1/6)

v  The University of Piraeus comprises nine academic departments

v  The University of Piraeus Research Center (UPRC) provides administrative assistance to basic and applied research activities, conducted by the personnel of the University of Piraeus

v  The Department of Digital Systems was founded in 1999

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Profile (2/6)

v  Telecommunication Networks and integrated Services (TNS) Laboratory v  Objective - Short Description

Ø  The Laboratory of Telecommunication Networks and integrated Services (TNS) is framed within the Department of Digital Systems, of the University of Piraeus.

Ø  The main objective of the TNS Laboratory is to conduct research and development in all areas related to telecommunication networks and services. Through its research, development and educational activities, the Laboratory will contribute to the realization and sustainable development of a human-centric Information and Communication Society.

v  Personnel Ø  3 members of faculty Ø  4 Senior Research Engineers (PhD) Ø  5 Research Engineers – PhD students Ø  25 Research/Software Engineers – Thesis at postgraduate or undergraduate level

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Profile (3/6)

v  Actors Ø  the public sector, the owner of the TNS Living Lab Ø  the European Commission, the sponsor of the TNS Living Lab Ø  the TNS Living Lab partners in the research projects that participates in Ø  the TNS Lab networks (WUN CogCom, WWRF, WInF)

v  Tests performed on a yearly basis Ø  tests are performed within the TNS Living Lab on a weekly basis, the results of

which are showcased in approximately ten (10) major events, such as Demonstration Booths and high profile conferences per year.

v  Success stories, external customers Ø  several products (reconfigurable terminals, knowledge based selection algorithms

for terminals and network elements) have been adopted by more than twenty (20) external customers

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Profile (4/6)

v  The TNS Laboratory conducts applied and basic research on: Ø  High-speed, fixed-access, broadband networks Ø  High-speed, wireless-access, infrastructures (2G, 3G, 4G, B3G) Ø  Core networks Ø  Services and respective platforms in heterogeneous networks Ø  Internet and Web technologies Ø  Design, management and performance evaluation of communication networks Ø  Software Engineering, Service-oriented platforms Ø  Optimisation techniques, algorithm and complexity theory, queuing theory

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Profile (5/6): Legacy assets

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TNS Research, Standardization Activities: Infrastructure

v  FP7/IST E3 (End-to-End Efficiency) Ø  Cognitive networks and systems (Technical

Management) v  FP6/IST E2R (End-to-End Reconfigurability)

Ø  B3G Infrastructures, Reconfigurable, Software Adaptable, SDR

v  FP6/IST ACE (Antenna Centre of Excellence) Ø  4G systems

v  FP5/IST Ø  MONASIDRE, CREDO, SHUFFLE Ø  B3G Infrastructures, Cooperative

v  FP4/IST Ø  STORMS Ø  Design of 3G Infrastructures

v  ARIADNE (Ministry of Development, General Secretariat for Research and Technology): Dynamic Spectrum Management and Planning of 4G Wireless Access Networks and Terminals.

v  Consultancy (Ministry of Finance, Ministry of Education, Private sector related to 4G systems and WiMAX)

TNS Research, Standardization Activities: Services

v  EUREKA/CELTIC IMPULSE (Integrated Multimodal Platform for Ubiquitous Multimedia Service Execution) Ø  IMS platforms

v  EUREKA/CELTIC WIN-HPN (Wireless Intelligent Hospital Premises Network) Ø  Digital Health

v  FP5/IST Ø  Moebius Ø  E-Business and Digital Health over 2.5G and 3G

Infrastructures v  FP4/IST

Ø  Screen, Montage Ø  Service Engineering, Accounting, Personal Mobility

v  DIOSKOUROI Ø  Training and consultancy on modern

telecommunication infrastructures and services for Military personnel


Profile (6/6): Emerging assets

v  Contributions to EU-funded projects and initiatives Ø  FP7/ICT ONEFIT (Opportunistic networks and Cognitive Management Systems for

Efficient Application Provision in the Future Internet) – STREP – Project coordination Ø  FP7/ICT UniverSelf (Self-management in the FI) – IP – WP leadership Ø  FP7/ICT iCore (Internet Connected Objects for Reconfigurable Eco-systems) – IP Ø  FP7/ICT ACROPOLIS (Advanced coexistence technologies for Radio Optimisation in

Licensed and Unlicensed Spectrum) - NoE Ø  COST ICT Action IC0902 on Cognitive radio and networking for cooperative

coexistence of heterogeneous wireless networks – National representative

v  Active participation to standardization bodies, research fora Ø  ETSI-RRS (Reconfigurable Radio Systems), AFI (Autonomic network engineering for

the self-managing Future Internet) Ø  IEEE SCC41 (Dynamic Spectrum Access Networks)/1900.4 WG on Architectural

Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks

Ø  Wireless World Research Forum (WWRF), Future Internet Initiatives, European Networks of Living Labs (ENoLL), Cognitive Communications WUN

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Legacy assets (1/5): Cognitive wireless networks: cognitive network management, self-organizing network (prototype)

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v  Input Ø  Context: traffic, mobility, interference, element status

•  Change of element status, e.g., fault of some component like TRX → trigger for self-healing mechanisms

Ø  Profiles: equipment, application, user requirements and preferences Ø  Policies: optimization objectives, strategies, constraints, strategies

v  Optimization mechanisms Ø  Algorithms for various time scales, optimal or near-optimal Ø  Short time scale: greedy, online Ø  Mid-term: simulated-annealing, taboo search, genetic algorithms

v  Output Ø  Configuration at various levels Ø  Radio Access Technology and spectrum selection per BS/TRX Ø  Interconnection of network elements Ø  QoS level determination per user class

v  Learning Ø  Contexts encountered in time space Ø  Solutions applied, resources used, and efficiency exhibited Ø  OFDM case: subset of subcarriers that can be used

v  Impact Ø  Optimal QoS, operational efficiency, automation of tasks, minimization of human

involvement, reduction of operational expenditure (OPEX) and of capital expenditures (CAPEX) (avoid worst case based planning)


Legacy assets (2/5): Management functionality for cognitive devices (software prototype)

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Learning user preferences conditional probabilities

v  Knowledge-based, reactive and proactive, learning-based, handling of situations

v  Selection and enforcement of optimal device configuration based on Ø  Context (Monitoring, Sensing), profiles, policies Ø  Negotiation (English, Dutch models) Ø  Policies and profiles Ø  Selection algorithms for operator-driven (policy-

driven) connection with infrastructure or in ad-hoc mode

Ø  Knowledge base: learning and exploiting experience on contexts most likely encountered, network and configuration capabilities, user preferences §  Utilization of Bayesian networks, artificial neural

networks:

v  Implementation of prototype Ø  Deployed on various devices:

NOKIA 810, HP PDA

Prototype


Legacy assets (3/5): Platform for the integration and management of cognitive systems in future networks (IMaCS)

IMaCS combines v  Integration of cognitive management

schemes Ø Collaborative (network-terminal, network-

edges) decision making algorithms §  Efficient operation of the heterogeneous,

cognitive system, through self-x principles Ø Autonomous decision-making algorithms Ø  Information and knowledge acquisition and

sharing mechanisms Ø  Information related to context, profiles,

policies (e.g., optimization objectives, constraints, strategies)

v  Virtualisation of infrastructure Ø Every application, service, infrastructure

element can be virtualised as a new set of services

Ø  Infrastructure elements can offer various services to composite services/applications

§  Efficient exploitation of the infrastructure, through high-level interfaces, which are offered to developers of services/applications

§  Services/applications can issue actions (e.g. reconfiguration services) towards the infrastructure

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Cognitive Reconfigurable Devices

Knowledge Sharing

Policies

Context information

Composite Wireless Network

Cognitive Network Management System

Cognitive Access Points

Knowledge Sharing

Context informationReconfiguration decisions


Legacy assets (4/5): Platform for the integration and management of cognitive systems in future networks (IMaCS)

IMaCS implementation v  The current implementation comprises diverse

network elements, several user devices and self-management functionalities

v  Utilisation of JADE/JADEX agent platform Ø  Provides various service orchestration functionalities Ø  High- level interfacing mechanisms

based on XML Ø  Ontology for information flow which can be easily extended/modified


Context

RAN1

RANN

…

Pac

ket B

ased

Cor

e N

etw

orkOSM

NRM

RMC

RRC

TRC

TRM

TMC

Radio Enabler

Policies/Context

Context

Reconfigurat

ions

Reconfigurations

Context

OSM – Operator Spectrum ManagerNRM – Network Reconfiguration ManagerRRC – RAN Reconfiguration Controller RMC – RAN Measurement CollectorRAN – Radio Access Network

TRM – Terminal Reconfiguration ManagerTRC – Terminal Reconfiguration ControllerTMC – Terminal Measurement Collector

(Cog

nitiv

e) T

erm

inal

v  After identifying and describing the exact info to be conveyed…

v  Setup of a platform to experiment on a IEEE 1900.4-based architecture, functionality and interfaces

v  Multi-agent environment based on JADE (Java Agents DEvelopment framework)

v  Performance assessment Ø  Indicative scenarios Ø  Results w.r.t. measured signalling

load/delays

Legacy assets (5/5): Experimentation platform for the assessment of an IEEE 1900.4-based management architecture*

[*] IEEE Std 1900.4™-2009, IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks

RANagent

GENERATORagent

NRMagent

OSMagent

RAN agent

Generated Traffic Information

Spectrum Assignment &Rules

NetworkStatus &Policies

MTagent(s)

MT agents

Network Status & PoliciesSpectrum

UsageInfo

MT StatusNotification

……

RANagent

GENERATORagent

NRMagent

OSMagent

RAN agent

Generated Traffic Information

Spectrum Assignment &Rules

NetworkStatus &Policies

MTagent(s)MTagent(s)

MT agentsMT agents

Network Status & PoliciesSpectrum

UsageInfo

MT StatusNotification

……


Emerging assets (1/3): OneFIT: Networking schemes for wireless access to the Future Internet

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v  Main direction: Opportunistic networks and cognitive management systems for efficient application provision in the Future InterneT (OneFIT)

v  Web site: www.ict-onefit.eu

v  Opportunistic networks Ø  Operator governed (through resources, policies,

and information/knowledge) Ø  Coordinated with the infrastructure Ø  Comprise network elements of infrastructure

and devices (envisaged in the Future Internet) Ø  Building on: spectrum management, secondary

usage, infrastructure-less networks, social networks

Ø  Context, profile, policy, knowledge-aware routing v  Cognitive management systems

Ø  Provide the means for feasibility determination, creation, maintenance, handling of forced terminations

v  Control Channels for the Cooperation Ø  Information definition, signaling flows, protocols

(packet structures, exchange)

v  Requirements: Ø  Numerous diversified applications, social networking,

prosumer concept -> applications with a “localized” interest

Ø  Machine-to-Machine (M2M): communication without (or only limited) human intervention

Ø  Increased interest for wireless Ø  Utmost efficiency in resource provision (resource

utilization, “green” decisions, further lower costs) Ø  Resolve potential congestion situations, expand

infrastructure coverage when/where temporarily needed, efficiently offer localized applications and content


Emerging assets (2/3): UniverSelf: Autonomic management of FI infrastructure

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v  Requirements in FI era: Ø  Demanding situations in terms of Quality of

Experience – Quality of Service, in order to adequately support a wide range of applications, including video, voice, data flows, etc.

Ø  Changing situations (potentially unpredictably) Ø  Efficiency in QoE and QoS provision in terms of

total cost of ownership, e.g., OPEX, CAPEX, etc., decisions with “green” footprint

Ø  Evolution of existing and emergence of new business models (roles and entities), in order to utilize new opportunities opened by the FI

Ø  Coherence, convergence, stability, scalability

v  Main direction: Autonomic network elements in infrastructure (access points, routers, gateways, etc.): behaviour determination based on Ø  Context changes (alterations in environment or

internal system status) Ø  Policies (rules), capabilities (profiles) Ø  Optimization mechanisms Ø  Knowledge, experience development/sharing

v  Intelligence evolution and deployment Ø  Distributed reactive/proactive situation handling

based on knowledge development and sharing Ø  Wireless self-organized networks exploiting

cognition techniques Ø  Distributed traffic engineering in wireline segments

exploiting cognition techniques v  Federation

Ø  Existence of autonomic systems for (specialized in) managing particular technologies/segments/networks

Ø  Federation of these autonomic systems for end-to-end, optimal provision of applications

Ø  Interface definition and standardization v  Validation

Ø  User-oriented criteria; Business drivers Ø  Approach based on prototyping, experiments, trials,

pilots; Result analysis and system fine-tuning Ø  Consolidation and trust generation


Emerging assets (3/3): iCore: Internet Connected Objects for Reconfigurable Eco-systems

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v  Requirements: Ø  Address heterogeneity of objects of the

Internet of Things (IoT) Ø  Increase the reusability of objects, outside the

scope in which they were originally deployed (e.g. a traffic monitoring or security camera to be used for the creation of the digital representation of any object)

Ø  Increase reliability, availability of services and energy efficiency

Ø  Allow business integration of the views of multiple stakeholders in the composition of services

v  Main direction: Open cognitive framework for the Internet of Things: (i) Virtual Objects (VOs): Cognitive virtual representations of real-world objects (RWOs) and digital objects (DOs) (ii) Composite Virtual Objects (CVOs): Cognitive mash-ups of semantically interoperable VOs (iii) Users/stakeholders perspectives

v  VOs comprise cognitive mechanisms (self-management and learning capabilities) Ø  Offering information and knowledge on the RWO/DO

context of operation (e.g., location, availability of energy, computing, storage, communication resources, etc.) and profile (capabilities).

Ø  Transforming raw measurements to knowledge Ø  Corresponding to the end-users/stakeholders

requirements v  CVOs: use VOs, and deliver services in

accordance with the user/stakeholder requirements.

v  Scalable fabrics (in each level) for the registration, discovery composition of services

v  Validation use cases: ambient assisted living, v  smart office, transportation, and supply chain

management and logistics

Source: iCore Consortium


Future interests: ICT infrastructures, management

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Source: eTOM standard by TeleManagement Forum

v  All facets associated with networks, management, applications and services

v  Training activities (MSc, PhD, undergraduates) related to the eTOM and other management models

v  Research achievements with emphasis on resource and services development

v  Research on management frameworks


Future interests: ICT and energy networks

Ø  Find minimal cost allocation of energy production resources, minimise outages

Ø  Decrease the environmental cost of production and transferring

v  Technical Approach Ø  Interfaces among ICT and Grid Infrastructures Ø  Transfer of information and corresponding

decisions, according to QoS requirements Ø  ICT infrastructure offers also processing/

computing resources for reaching optimal decisions

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v  Energy generation Ø  Renewable and legacy energy

resources

v  Distribution network Ø  From resources

v  Transmission network Ø  To end users/ consumers

v  Consumers

v  Objectives Ø  High demand Ø  Sharing and

exploitation of available renewable resources

Power Production Sources

Consumers

Vehicles, electricity, smart homes, heating, computing

Transmission network

Energy Distribution

ON OFF OFF

The Energy mix:• Renewables (solar, wind, hydro, biomass, geothermal, hydrogen)•Nuclear• Fossil (coal, oil, natural gas, LNG)

Internet


Future interests: ICT and environment management

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v  Services to support Ø  Emergency handling (fires, oils,

floods, spill) Ø  Long term studies for sustainable

development Ø  Security and safety

v  Technical Approach Ø  Business drivers, requirements

engineering Ø  Device development/ Interface

development Ø  Integration with ICT infrastructure Ø  Validation through prototyping

experimentation and pilot with respect to business drivers

v  Objectives Ø  Minimum cost/ highly reliable

acquisition of information Ø  Knowledge development through

computations in the ICT infrastructure (and general devices)

Ø  Decision enforcement


Future interests: ICT and intelligent transportations

v Objectives (focusing on services)

Ø  Dynamically resolve congestion situations

Ø  Reduce time and increase the utilization of transportation means

Ø  Reduce emissions, handle emergencies

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v Achievements combining ICT and transport Ø  Car pooling system

v  Y. Kritikou et al, “A management scheme for improving transportation efficiency and contributing to the enhancement of the social fabric”, Telematics and Informatics journal, Vol. 26, No. 4, pp. 375-390, November 2009

v  Y. Kritikou et al, “A Management System for Improving Traffic Efficiency in Transportation Infrastructures”. In Proc. of 1st International Symposium on Vehicular Computing Systems 2008 (ISVCS 2008), Dublin, Ireland, July 2008

Ø  Cognitive networks and transportation infrastructures v  G. Dimitrakopoulos, P. Demestichas, “Intelligent transportation systems based on

cognitive networking principles”, IEEE Vehicular Technology Magazine , Vol. 5, No. 1, pp. 77-84, March 2010

v  Technical Approach Ø  Information extraction from the

infrastructure Ø  ICT infrastructure for transferring

information with QoS guarantees Ø  Processing/computing of optimal

decisions potentially through ICT infrastructure means

Ø  Provision of services and management

Travellers

Roadside

Centers -‐ Services

Traffic Management

Emergency Management

Toll Administration

Commercial Vehicle

Administration

Maintenance and

Construction Management

Fleet and Freight

Management

Archived data

Management

Transit Management

Emissions Management

Information service provider

Wireline (fixed-‐point to fixed-‐point) communicationsWide area (wireless) communications

Personal information

access

Remote traveller support

Commercial vehicle check

Parking management

Toll collection

Roadway

Dedicated short-‐range

commun

ications

Vehicle(Emergency, commercial, transit, maintenance and

construction)Vehicle-‐to-‐Vehicle

commun

ications


Future interests: Internet-connected social vehicles (1/3)

v  Target Ø  Facilitate the creation of efficient

innovation ecosystems that develop services and applications making use of information generated by users (e.g. through social networks) or captured from sensors (Internet of Things);

v  Motivation Ø  Everyday phenomena in transportation

environments §  Increased utilization of vehicles §  Traffic congestions §  Delays §  Pollution §  Degradation of life quality §  Emergencies / accidents §  Influence on social fabric

v  Requirements §  Exploitation of ICT in urban

transportation environments (smart cities) through NG services / applications

§  Improvement of the driver’s and pedestrians’ safety levels

§  Improvement of the passengers’ quality of life through entertainment.

Retrieve context information from other

vehicles and the infrastructure

Intelligently process information and plan

actions

Issue directives to driver / propose actions

V2I

V2IV2V



v  Solution

Ø  Vehicles and objects of the transportation infrastructure that are connected through an all IP-based infrastructure

Ø  Exchange of information directly or indirectly (through social networks)

Ø  Resolution of issues, so as to result in a more efficient, safe and green world of transportation.

v  Technical challenges / expertise Ø  Traffic assessment and management Ø  Real-time collection of context information

based on social networks Ø  In-vehicle and on-road safety and emergency

management Ø  Intelligent parking management based on

sensors Ø  Exploitation of autonomic networking

principles Ø  Cognitive systems

§  Lane keeping §  Obstacle recognition

IP-based communication interface

Provision of data directly or indirectly (e.g. through web-

based services and communities, social networks, etc.)Vehicle -1 Autonomic

Management Functionality

Vehicle -2 Autonomic Management Functionality

Road signs, traffic lights, road segments,

other objects

Decisions for:1) extension of vehicle horizon

2) Self-healing through web services3) directives for improving energy

efficiency

Profiles and policies

derivation

Contextual data acquisition

Autonomic management

algorithmic process

Input

Output

Decision Making

Kno

wle

dge

and

expe

rien

ce c

reat

ion

Repository (database)



v  Benefits Ø  Important value-adding mechanisms for the wireless industry (manufacturer,

application / service provider) and the user Ø  Enhanced vehicular service provision Ø  Lower costs (components of the total ownership costs) Ø  Management decisions with a “green” footprint.

v  Exploitation of consortium from various viewpoints Ø  Research Ø  SMEs (software providers, network operators) Ø  End-users Ø  Public organizations (statistical traffic data)

v  Adoption of user-centric methodologies Ø  Direct exploitation in Kifissia, Athens, Greece Ø  Reduced time-to market Ø  Opening new gates in research

v  G. Dimitrakopoulos, P. Demestichas, V. Koutra, "Intelligent Management Functionality for Improving Transportation Efficiency by means of the Car Pooling Concept", IEEE Transactions on Intelligent Transportation Systems, to appear.


Conclusions

v  Aspects covered Ø  Profile Ø  Legacy and Emerging Assets related to the FI Ø  Future Interests

§  Evolution of ICT infrastructures and services §  ICT and energy, smart energy §  ICT and transportation, intelligent transportation systems §  ICT and environment management, sustainable growth §  Internet-connected social vehicles

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tns living lab by yiouli kritikou

Technology

standardization tns

research projects

basic research

applied research activities

remarkstns uprc profile

wimaxtns uprc profile

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tns lab networks wun