A content-based load balancing algorithm for metadata servers in cluster file systems

  • Authors:
  • Junho Jang;Saeyoung Han;Sungyong Park;Jihoon Yang

  • Affiliations:
  • Department of Computer Science and, Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea;Department of Computer Science and, Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea;Department of Computer Science and, Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea;Department of Computer Science and, Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea

  • Venue:
  • ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
  • Year:
  • 2005

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Abstract

A metadata service is one of the important factors to affect the performance of cluster file systems. We propose a content-based load balancing algorithm that dynamically distributes client requests to appropriate metadata servers based on the types of metadata operations. By replicating metadata and logging update messages in each server rather than moving metadata across servers, we significantly reduce the response time and evenly distribute client requests among metadata servers.