Performance Improvement using Effective Task Size Calculation in Dynamic Load Balancing Systems

Autor: Nam Gi Kim, Min Choi
Rok vydání: 2007
Předmět:
Zdroj: The KIPS Transactions:PartA. :357-362
ISSN: 1598-2831
DOI: 10.3745/kipsta.2007.14-a.6.357
Popis: In distributed systems like cluster systems, in order to get more performance improvement, the initial task placement system precisely estimates and correctly assigns the resource requirement by the process. The resource-based initial job placement scheme needs the prediction of resource usage of a task in order to fit it to the most suitable hosts. However, the wrong prediction of resource usage causes serious performance degradation in dynamic load balancing systems. Therefore, in this paper, to resolve the problem due to the wrong prediction, we propose a new load metric. By the new load metric, the resource-based initial job placement scheme can work without priori knowledge about the type of process. Simulation results show that the dynamic load balancing system using the proposed approach achieves shorter execution times than the conventional approaches.
Databáze: OpenAIRE