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Transforming Human Communications to a Grid Architecture

Explore collaborative communication tools, object management, and decision support in CEE and grid architectures. Learn about system support services, communication services, modeling, simulation, and more. Enhance your knowledge of interfaces, collaboration, security, and grid workflows.

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Transforming Human Communications to a Grid Architecture

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  1. CEE and Grid Architectures Geoffrey Fox September 15 2004

  2. Collaborative Communication Tools (Chat, Whiteboard, Audio Conference, Application Sharing, Instant Messaging) Object /Document Management Enterprise Builder Forms Builder Reasoning Mechanisms Workflow, Product & Process Modeling (Drag & Drop Development, Manage Enterprise Resources, Distributed Execution) Decision Support (Enterprise Object Modeling, Intelligent Agents) Forms Creation Object Config Control K2 -- Knowledge Kinetics An Instance of CEE Human to Human Communications Workflow Builder

  3. Transforming to a Grid Architecture (Layer 4) AFRL CEE (Layer 3) (Layer 5) (Layer 6) (Layer 2) (Layer 1) Community Grid Architecture is only loosely defined

  4. Overall Comments I • System Support Services is roughly Hosting environment in Grid parlance • Uncertain as web services don’t use this routinely and one has several important components • Basic Linux or equivalent single (possibly parallel but not distributed) computer operating system • Basic Axis (Java/Linux) or WSE (.NET) Web service Environment • Handlers (plug-ins) for Axis and WSE to handle core capabilities interpreting SOAP header – Security, Reliable Messaging, Transport • a) and b) above are probably what is usually called hosting environment

  5. Messaging Process SOAPBody Header Process SOAPHeader Body Overall Comments II • Communication Services are messaging (transport protocol, routing) using SOAP protocol Service itself Serviceitself Customizable HandlerChain processesSOAP Header Invoke Other Services from Header or Body

  6. Overall Comments III • Modeling and Simulation Support • Compute Grid using Globus, Condor or Gateway • Visualization Grid • GIS (Geographical Information System) Grid • Data repositories and sensors linked by GridFTP or high speed streaming • Data resources can be described by OGSA-DAI and its variant WS-DAI (Web Service Data Access and Integration) • Other services for caching, file access and management • This includes CEE Real-time services

  7. Service1 Service3 Service2 Service4 Overall Comments IV • Interfaces are defined in WSDL using Semantic Grid for intelligent reasoning • 3-level programming model • Conventional languages (Java, C++) for service itself processing SOAP body • Semantic Web to reason about interfaces and their linkage • Workflow to link services together Semantic level Workflow links Services and is informed by the Semantic level

  8. Layers of Onion Application (level 1 Programming) Application Semantics (Metadata, Ontology) Level 2 “Programming” Systems Metadata (Context, State) Basic WS-* Infrastructure Web Service 1 WS 2 WS 3 WS 4 Workflow (level 3) Programming All capabilities are built as Web Services with this structure showing a 3 level programming model

  9. Overall Comments IV • Collaboration and Security are core Grid and Web Service technology • Security has a wide range of requirements – all of which can probably be supported by Web Service Security eventually • Some scenarios significantly easier than others • Asynchronous Collaboration or shared resources is traditional Grid technology • Synchronous Collaboration is supported by GlobalMMCS and XGSP • GIS Grid and GlobalMMCS a good start to support real time crisis support • Similar in style to TangoInteractive at Syracuse

  10. Overall Comments VI • Grid workflow implements both composition (service linkage) and traditional business or process workflow • Intelligent Agents are services possibly using semantic web technologies at the application (processing SOAP body) level • Use of MVC (Model View Control) architecture in CEE completely consistent with Grids and Web Services • Use like KK, portlet architecture integrated into a portal • OGCE has many Grid Service portlets • Jetspeed, uportal, GridSphere debate in community

  11. Overall Comments VII • Message-based Services naturally support “state change architecture” as Web services change their state on receipt of messages • They render (display) their state through user-facing ports • This leads to shared input and output port Web Service Collaboration models • Use NaradaBrokering to archive messages so supporting fault tolerant services and management of service updates • Use WS-Notification/Eventing to support notification of changes as those found by ECOM • OM in ECOM becomes Resource?

  12. Next Steps • Review Architecture Analysis and mappings of CEE, KK to Grid concepts • Define the Services in CEE • Make them “simple services” i.e. as small as possible subject to constraint that communication overhead with Internet latency is acceptable • Transformations, Product Models, Process Models become services • Identify useful external services • Define the Interfaces in WSDL • Evolution v Revolution • Examine implementation of core capabilities – Security, workflow, data and computing capabilities • Interesting research on asynchronous collaboration and state change architecture, integration of service and product (process) workflow.

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