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ANABAS

Use of Grids in DoD Applications

Geoffrey Fox, Alex HoSAB Briefing November 16, 2005

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General Message I Our proof of concept demonstrates many of the NCOW

core enterprise services (CES) implemented using Grid services built on top of the WS-* Web service industry specifications.

We will illustrate the use of the Grid of Grids architecture to integrate heterogeneous systems. The papers describe how all CES can be implemented using Grid technology and this is proposed in phase II SBIR.

Note the adherence to standards with a common line protocol SOAP implies that all service implementations are interoperable and one takes services from multiple sources. Anabas/Indiana University only has to implement some of the key Grid services.

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General Message II: Why Grids Web services gives us interoperability but Grids are

essential as we aim at Information Management Grids are the key idea to manage complexity but

applying uniform policies and building managed systems

Grids of Grids allows one to build out the management in a modular fashion

Uniform Grid messaging handles complex networks with managed QoS such as real-time constraints

Managed Services and Messaging gives scalability and performance (later slide)

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DoD Core Services and WS-* plus GS-* INCOW Service or Feature WS-* Service area GGF Others

A: General Principles

Use Service Oriented Architecture WS-1: Core Service Model

Build Grids on Web Services

Industry Best Practice (IBM, Microsoft …)

Grid of Grids Composition Legacy subsystems and modular architecture

B: NCOW Core Services (to be continued)

CES 1: Enterprise Services Management

WS-8 Management GS-6: Management CIM

CES 2: Information Assurance(IA)/Security

WS-5WS-Security

GS-7 Security(Authorization)

Grid-Shib, Permis Liberty Alliance etc.

CES 3: Messaging WS-2, WS-3Service InternetNotification

NaradaBrokering, Streaming/Sensor Technologies

CES 4: Discovery WS-6 UDDI Extended UDDI

CES 5: Mediation WS-4 Workflow Treatment of Legacy systems. Data Transformations

CES 6: Collaboration Shared Web Resources Asynchronous Virtual Organizations

XGSP, Shared Web Service ports, Anabas

CES 7: User assistance WS-10 Portlets GridSphere NCOW Capability Interfaces, JSR168

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DoD Core Services and WS-* and GS-* IINCOW Service or Feature WS-* Service area GGF Others

B: NCOW Core Services Continued

CES 8: Storage (not real-time streams)

GS-4 Data NCOW Data Strategy

CES 9: Application GS-2; invoke GS-3 Best Practice in building Grid/Web services (proxy or direct)

Environmental Control Services ECS

WS-9 Policy

C: Key NCOW Capabilities not directly in CES

System Meta-data WS-7 Semantic Grid

Globus MDS

C2IEDM, XBML, DDMS, WFS

Resource/Service Matching/Scheduling

Distributed Scheduling and SLA’s (GS-3)

Extend computer scheduling to networks and data flow

Sensors (real-time data) Work starting OGC Sensor standards

Geographical Information Systems GIS

OGC GIS standards

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Major Conclusions I One can map 7.5 out of 9 NCOW and GiG core

capabilities into Web Service (WS-*) and Grid (GS-*) architecture and core services• Analysis of Grids in NCOW document inaccurate

(confuse Grids and Globus and only consider early activities)

Some “mismatches” on both NCOW and Grid sides GS-*/WS-* do not have collaboration and miss some

messaging NCOW does not have at core level system metadata

and resource/service scheduling and matching Higher level services of importance include GIS

(Geographical Information Systems), Sensors and data-mining

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Major Conclusions II Criticisms of Web services in a recent paper by

Birman seem to be addressed by Grids or reflect immaturity of initial technology implementations

NCOW does not seem to have any analysis of how to build their systems on WS-*/GS-* technologies in a layered fashion; they do have a layered service architecture so this can be done• They agree with service oriented architecture• They seem to have no process for agreeing to WS-*

GS-* or setting other standards for CES Grid of Grids allows modular architectures and

natural treatment of legacy systems

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Performance Reduction of message delay jitter to a millisecond. Dynamic meta-data access latency reduced from seconds to

milliseconds using web service context service. The messaging is distributed with each low end Linux node

capable of supporting 500 users at a total bandwidth of 140 Mbits/sec with over 20,000 messages per second.

Systematic use of redundant fault tolerance services supports strict user QoS requirements and fault tolerant Grid enterprise bus supports collaboration and information sharing at a cost that scales logarithmically with number of simultaneous users and resources.

Supporting N users at the 0.5 Mbits/sec level each would require roughly (N/500)log(N/500) messaging servers to achieve full capability.

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Script I: Data Mining and GIS Grid This will show a set of Open Geospatial Consortium (OGC)

compatible services implementing a GIS (Geographical Information System) grid supporting streaming of feature and map data.

Intrinsic features of a region are supplemented here by features coming from a data-mining code that is filtering data to predict likely earthquake positions.

This uses discovery, metadata, database, workflow, messaging, data transformation, simulation (data-mining) services.

Note the OGC compatible WFS (Web Feature Service) plays role as a domain specific service interface to a database

This used by Los Alamos for DHS simulations replacing data mining by critical infrastructure simulations

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I: Data Mining and GIS Grid

WMS handlingClient requests

WMS Client

UDDI

WFS2

Databases withNASA, USGS features

SERVOGrid Faults

WFS1 NASA WMS

HTTP

SOAP

WFS3

Data Mining Grid

WMS Client

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I: Data Mining Grid

HPSearchWorkflow

UDDI

Databases withNASA,USGS features

SERVOGrid FaultsWFS4

SOAP

WS-Context

WFS3

PI Data Mining

Filter

GIS Grid

Filter

NaradaBrokering

Pipeline

System Services

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Hot spots calculations--areas of increased earthquake probability in the forecast time-- calculations are re-plotted on the map as features.

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Script I: Google Map Grid Service This first demo also illustrates how the Google map

system can be wrapped as a Grid itself front-ended by a OGC Web Map Service.

This is used in a Grid of Grids fashion with Google linked with traditional (NASA) Web Map services.

Illustrates how linking NCOW to commodity Grid technology allows access to major IT resources• Google’s 100,000 computers• DoD MSRC, DoE, NSF Supercomputers

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Real Time GPS and Google Maps

Subscribe to live GPS station. Position data from SOPAC is combined with Google map clients.

Select and zoom to GPS station location, click icons for more information.

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Script II: Collaborative Grid Service This demonstrates how streams can be formed from

messages and managed in a uniform way whether maps or video. Collaboration is achieved by multicasting of the input or output streams to Grid services.

Our messaging infrastructure handles all multicasting (using software) transparently to services

First we demonstrate collaborative maps using “shared input ports” on web service

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Collaborative Google Mapswith faults from WFS

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Script III: Collaboration Grid Collaboration uses basic Grid services – metadata,

discovery, workflow, security plus the XGSP stream management services.

Complex collaboration scenarios correspond to additional services for particular shared applications and to gateways in Grid of Grids fashion to H323, SIP and other protocols. Annotation, record, replay, whiteboards, codec conversion, audio and video mixing become services.

We demonstrate MPEG4 transcoding and video mixing services

Only Grid Web service based collaboration environment

Use of Grids ensures scalability and performance

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Collaboration Grid

UDDI NaradaBroker

HPSearch

WS-Context

Gateway

WS-Security

NaradaBroker

NaradaBroker

Gateway

Gateway

Gateway

XGSP MediaService

Video Mixer

Transcoder

Audio Mixer

Replay

Record

Annotate

Thumbnail

WhiteBoard

SharedDisplay

SharedWS

19GlobalMMCS SWT Client

Chat

TV

WebcamVideo Mixer

GIS

2020

e - Annotation Player

Archived stream player Annotation / WB

player

Archieved stream list

Real time stream list

e - Annotation Whiteboard

Real time stream player Archived Real Time Real Time

Stream List Stream List Player

e-Annotation Archived Stream Annotated e-Annotation Player Player Stream Player Whiteboard