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Challenge 1: Composition of Processes...

Challenge 1: Composition of Processes. versus composition and integration of Data data-warehouses wrapping data available on web versus composition of Components reusing small components via copy/paste or shared libraries locally installed

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Challenge 1: Composition of Processes...

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  1. Challenge 1: Composition of Processes... • versus composition and integration of Data • data-warehouses • wrapping data available on web • versus composition of Components • reusing small components via copy/paste or shared libraries locally installed • large distributed components within same “domain” as composition, e.g. within one bank or airline CHAIMS:»processed information provided by megamodules » composing autonomous execution threads CHAIMS

  2. I/O I/O Data Resources Local Components, Remote Data Domain expert Client computer Control & Computation Services c e a b d Wrappers to resolve differences CHAIMS

  3. MEGA modules Sites Data Resources Remote Computational Components Domain expert Client workstation IO module IO module C Computation Services e b a d T c S U T R CHAIMS

  4. Challenge 2: Autonomy Megamodule C at site NewCom provided by BestCalc Megamodules are autonomous: • responsibility for maintenance is with provider • client has no direct control over availability of services and resources provided • client might be able to choose from several providers • heterogeneity concerning implementation languages, interface definitions (onthologies), server platforms and distribution systems ==> many advantages, yet access protocols and composition environments have to take these issues into account Megamodule A at site Stanford provided by InfoLab Megamodule B at site SLAC provided by Admin CHAIMS

  5. Challenge 3: Heavy-weight Services What we need: ==>monitoring progress of a service ==> possibility to choose among equivalent services based on estimated waiting time and fees ==>parallelism among services ==> preliminary overview results, choosing level of accuracy / number of results for complex processes ==> novel optimization techniques Services are not free for a client: • execution time of a service • transfer time for data • fees for services CHAIMS

  6. Challenge 4:Non-technical Domain Experts “Composer”: • is domain expert of domain that uses these services • is not technical expert of middleware system or experienced programmer, • wants to focus on problem at hand (=results of using a megaprogram) • e.g. scientist, assistant of a general Company providing services: • domain experts of domain of service (e.g. weather) • technical experts for wrapping services, setting up servers in a middleware system • marketing experts CHAIMS

  7. Challenge 5: Purely Compositional Language Possible? Which languages did succeed? • Algol, ADA: integrated composition and computation • C, C++: focus on computation Why new language? • complexity: not all facilities of a common language (compare to approach of Java), • inhibiting traditional computational programming (compare C++ and Smalltalk concerning object-oriented programming) • focus on issue of composition, parallelism by asynchrony, and optimization CHAIMS

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