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High-level language support for programming distributed systems

Authors: M.T. Kennedy; Joshua S. Auerbach; Rob Strom; James R. Russell; David F. Bacon; W. Silverman; Shaula Yemini; +5 Authors

High-level language support for programming distributed systems

Abstract

A strategy for simplifying the programming of heterogeneous distributed systems is presented. The approach used is based on integrating a high-level distributed programming model, the process model, directly into programming languages. Distributed applications written in such languages are portable across different environments, are shorter, and are simpler to develop than similar applications developed using conventional approaches. The process model is discussed, and Hermes and Concert/C, two languages that implement this model, are described. Hermes is a secure, representation-independent language designed explicitly around the process model. Concert/C is the C language augmented with a small set of extensions to support the process model while allowing reuse of existing C code. Hermes has been prototyped: an implementation of Concert/C is in development. >

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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