Load Balancing Factor (LBF): A Workload Migration Metric
| dc.contributor.author | Eom, Hyeonsang | en_US |
| dc.contributor.author | Hollingsworth, Jeffrey K. | en_US |
| dc.date.accessioned | 2004-05-31T23:19:22Z | |
| dc.date.available | 2004-05-31T23:19:22Z | |
| dc.date.created | 1998-02 | en_US |
| dc.date.issued | 2003-08-01 | en_US |
| dc.description.abstract | We 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.extent | 225380 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/1208 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-4375 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-2002-55 | en_US |
| dc.title | Load Balancing Factor (LBF): A Workload Migration Metric | en_US |
| dc.type | Technical Report | en_US |
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