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Cited by 819

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems

Maheswaran, Muthucumaru, Ali, Shoukat, Siegel, Howard Jay, Hensgen, Debra, Freund, Richard F.·1999·Journal of Parallel and Distributed Computing

Abstract

Dynamic mapping (matching and scheduling) heuristics for a class of independent tasks using heterogeneous distributed computing systems are studied. Two types of mapping heuristics are considered, immediate mode and batch mode heuristics. Three new heuristics, one for batch mode and two for immediate mode, are introduced as part of this research. Simulation studies are performed to compare these heuristics with some existing ones. In total five immediate mode heuristics and three batch mode heuristics are examined. The immediate mode dynamic heuristics consider, to varying degrees and in different ways, task affinity for different machines and machine ready times. The batch mode dynamic heuristics consider these factors, as well as aging of tasks waiting to execute. The simulation results reveal that the choice of which dynamic mapping heuristic to use in a given heterogeneous environment depends on parameters such as (a) the structure of the heterogeneity among tasks and machines and (b) the arrival rate of the tasks.

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Crossref · 10.1006/jpdc.1999.1581

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Metadata

Authors
Maheswaran, M., Ali, S., Siegel, H. J., Hensgen, D., & Freund, R. F.
Venue
Journal of Parallel and Distributed Computing
Publisher
Elsevier BV
Published
1999-11
Volume
59
Issue
2
Pages
107-131
ISSN
0743-7315 (ISSN-L)
OpenAlex
W1996689181
Cited by
819
References
11
FWCI
12.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems. https://app.cochat.ai/papers/10.1006/jpdc.1999.1581
The paper
Maheswaran, M., Ali, S., Siegel, H. J., Hensgen, D., & Freund, R. F. (1999). Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems. Journal of Parallel and Distributed Computing. https://doi.org/10.1006/jpdc.1999.1581

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.