GOP : a graph-oriented programming model for parallel and distributed systems

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18813

Title:	GOP : a graph-oriented programming model for parallel and distributed systems
Authors:	Cao, J Chan, ATS Sun, Y
Issue Date:	2005
Source:	In M Guo & LT Yang (Eds.), New horizons of parallel and distributed computing, p. 21-36. New York: Springer, 2005
Abstract:	The advances of parallel and distributed computing demand high-level programming models that support efficient software development and execution. Graphs can effectively represent the logical structures of distributed systems and applications so as to facilitate the programming of distributed applications and support efficient mapping of programs to hardware architecture. This chapter presents a Graph-Oriented Programming (GOP) model that provides flexible graph constructs and graph-oriented primitives to build a programming paradigm based on graph topology and also provides a formal specification of software architecture for distributed programs. The GOP model creates an abstract programming framework and supports dynamic reconfiguration of distributed computing system to implement adaptive computation and fault-tolerance. Various computing environments have been developed based on GOP for cluster computing, web service, and component-based computation.
Keywords:	Distributed computing Graph-oriented programming Software architecture
Publisher:	Springer
ISBN:	0387244344 9780387244341
DOI:	10.1007/0-387-28967-4_2
Appears in Collections:	Book Chapter

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