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dc.contributor.authorEom, Hyeonsangen_US
dc.contributor.authorHollingsworth, Jeffrey K.en_US
dc.date.accessioned2004-05-31T23:19:22Z
dc.date.available2004-05-31T23:19:22Z
dc.date.created1998-02en_US
dc.date.issued2003-08-01en_US
dc.identifier.urihttp://hdl.handle.net/1903/1208
dc.description.abstractWe introduce a new performance metric, called Load Balancing Factor (LBF), to evaluate different tuning alternatives of workload migration within a distributed/parallel program. The metric is unique because it shows the performance implications of a specific tuning alternative rather than quantifying where time is spent in the program. Previously we developed a variation of the metric for coarse-grained process placement, and demonstrated that it accurately predicts the placement impact. In this paper we focus on a variation designed for fine-grained function shipping in a client/server environment and present its online algorithm. We use a synthetic application to show that LBF provides accurate guidance about procedure-level migration. (UMIACS-TR-2002-55)en_US
dc.format.extent225380 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4375en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2002-55en_US
dc.titleLoad Balancing Factor (LBF): A Workload Migration Metricen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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