Algorithms for Divisible Load Scheduling of Data-intensive Applications
Abbreviated Journal Title
J. Comput.
Keywords
Divisible Load Scheduling; Divisible Load Theory (DLT); Load balancing; Grid computing; DISTRIBUTED COMPUTATION; NETWORK; WORKSTATIONS; HEURISTICS; SYSTEMS; TASKS; Computer Science, Information Systems; Computer Science, Theory &; Methods
Abstract
In this paper we introduce the Divisible Load Scheduling (DLS) family of algorithms for data-intensive applications. The polynomial time algorithms partition the input data and generate optimal mappings to collection of autonomous and heterogeneous computational systems. We prove the optimality of the solution and report a simulation study of the algorithms.
Journal Title
Journal of Grid Computing
Volume
8
Issue/Number
1
Publication Date
1-1-2010
Document Type
Article
Language
English
First Page
133
Last Page
155
WOS Identifier
ISSN
1570-7873
Recommended Citation
"Algorithms for Divisible Load Scheduling of Data-intensive Applications" (2010). Faculty Bibliography 2010s. 998.
https://stars.library.ucf.edu/facultybib2010/998
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