General Architecture for Demand Migration in Distributed Systems

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This book presents the architecture model for an effective demand migration framework (DMF) by applying distributed middleware technologies. DMF establishes a context for design and implementation of communication systems providing persistent synchronous message-passing communication model, where messages are delivered on demand. We apply DMF to derive a demand migration system (DMS) connecting the execution nodes of a heterogeneous distributed system called GIPSY (general intensional programming system). GIPSY exposes a demand-driven execution model with essence of distributiveness. Here, we describe both design and implementation of that DMS and survey test results. We also explore the distributed middleware technologies JINI, CORBA, DCOM and .Net Remoting, those being the implementation backbone for our DMS. Note that the book covers only the demand-migration aspects and does not deal with load balancing and efficiency aspects. This book represents the blending of two viewpoints: that of the practitioner, whose main goal is to build high-quality software, and that of the researcher, who strives to make a discovery or invent new aspects of computing.

Autorentext

Dr. Vassev received his M.Sc. in Computer Science (2005) and his Ph.D. in Computer Science (2008) from Concordia University, Montreal, Canada. His research interests include engineering autonomic systems, distributed computing, formal methods, software engineering, programming languages and compilers.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 256g
    • Untertitel General Architecture for Demand Migration in Distributed Systems
    • Autor Emil Vassev
    • Titel General Architecture for Demand Migration in Distributed Systems
    • Veröffentlichung 20.05.2010
    • ISBN 383830862X
    • Format Kartonierter Einband
    • EAN 9783838308623
    • Jahr 2010
    • Größe H220mm x B150mm x T11mm
    • Anzahl Seiten 160
    • GTIN 09783838308623

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