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Combining Multiple Metrics to Control BSP Process Rescheduling in Response to Resource and Application Dynamics

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5 Author(s)
Rodrigo da Rosa Righi ; Programa Interdisciplinar de Pos-Grad. em Comput. Aplic., Univ. do Vale do Rio dos Sinos, Sao Leopoldo, Brazil ; Lucas Graebin ; Rafael Bohrer Avila ; Philippe Olivier Alexadre Navaux
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This article discusses MigBSP: a rescheduling model that acts on Bulk Synchronous Parallel applications running over computational Grids. It combines the metrics Computation, Communication and Memory to make migration decisions. MigBSP also offers efficient adaptations to reduce its overhead. Additionally, MigBSP is infrastructure and application independent and tries to handle dynamicity on both levels. MigBSP's results show application performance improvements of up to 16% on dynamic environments while maintaining a small overhead when migrations do not take place.

Published in:

Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on

Date of Conference:

7-9 Dec. 2011