Message Management April 27 2006 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN.

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Presentation transcript:

Message Management April Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN

Messaging Runtime I Components communicate via messages MPI SOAP Putting bytes on a stack Events/Interrupts Between Services, Peers (of P2P), CCA Components, Objects, Procedures, Handlers Trade-offs in performance, concurrency, ease of programming depend on how explicit message is Hard/impossible to convert conventional programs efficiently into explicit message linked components Similar implicit (and unnecessary) side-effects make concurrency hard Message-based MVC makes Model and View components CCR is an example of a language that can exploit messaging between threads It is applied to Robotics which typically uses dataflow as in Khoros (image processing)

Messaging Runtime II We built NaradaBrokering messaging system applied to distributed (Grid, P2P, Web service) and desktop applications Initially we will establish performance expectations Such as MPI has overhead of a few microseconds Nearby distributed systems have overheads of 1-2 milliseconds Thread Scheduling overhead is around 10 milliseconds (Java, XP) CCR is better What are primitives needed for communication (MPI and CCR collectives) Interaction between otherwise independent threads due to Cache conflicts We understand both communication patterns and performance models for scientific applications

Web Services and M-MVC Web Services are naturally M-MVC – Message based Model View Controller with Model is Component Controller is Messages (NaradaBrokering) View is rendering As Controller

Desktop and Web Services with MMVC Most desktop applications are in fact roughly MVC with controller formed by “system interrupts” with View and Model communicating by “post an event” and define a “listener” programming mode We propose to integrate desktop and Web Service approach by systematic use of MMVC and NaradaBrokering Allows easier porting to diverse clients and automatic collaboration Attractive for next generation of Linux desktop clients We have demonstrated for SVG Browser (Scalable Vector Graphics), OpenOffice and PowerPoint “Glob” programming style makes hard

Mean Mousedown Mean Mousemove Mean Mouseup Events Per 0.5 ms Mean ms NB on Ripvanwinkle NB on View NB on Model 15 runs each split over 3 days

SM-MV Collaboration Shared Output port Single Model, Multiple View SM-MV Collaborative Web Service XGSP Session Control

MM-MV Collaboration Shared Input port Multiple Model, Multiple View MM-MV Collaborative Web Service