Toggle Main Menu Toggle Search

Open Access padlockePrints

GOP: A Graph-Oriented Programming Model for Parallel and Distributed Systems

Lookup NU author(s): Dr Yudong Sun


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Publication metadata

Author(s): Cao J, Chan A, Sun Y

Editor(s): Guo, M. and Yang, L. T.

Publication type: Book Chapter

Publication status: Published

Book Title: New Horizons of Parallel and Distributed Computing

Year: 2006

Pages: 21-36

Publisher: Springer

Place Published: Boston, MA


DOI: 10.1007/0-387-28967-4_2

Notes: The advances of distributed computing demand novel programming model to 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 the efficient mapping of programs to hardware architecture. This chapter presents a Graph-Oriented Programming (GOP) model that provides flexible graph constructs and graph-oriented programming primitives to build a programming paradigm based on graph topology and provide a formal specification of software architecture for distributed programs. The GOP model creates an abstract programming framework and supports dynamic reconfiguration of a distributed computing system to implement adaptive computation and fault-tolerance. Various computing environments have been developed based on GOP such as cluster computing, web service, and component-based computation.

Library holdings: Search Newcastle University Library for this item

ISBN: 0387244344


Link to this publication