Data Allocation and Load Balancing for Heterogeneous Cluster Storage Systems

  • Authors:
  • Jose Maria Perez;Felix Garcia;Jesus Carretero;Alejandro Calderon;Luis Miguel Sanchez

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
  • Year:
  • 2003

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Abstract

Distributed filesystems are a typical solution in networked environments as clusters and grids. Parallel filesystems are a typical solution in order to reach high performance I/O distributed environment, but those filesystemshave some limitations in heterogeneous storage systems.Usually in distributed systems, load balancing is used asa solution to improve the performance, but typically the distribution is made between peer-to-peer computational resources and from the processor point of view. In heterogeneous systems, like heterogeneous clusters of workstations,the existing solutions do not work so well. However, the utilization of those systems is more extended every day, havingan extreme example in the grid environment. In this paperwe bring attention to those aspects of heterogeneous distributed data systems presenting a parallel file system thattake into account heterogeneity of storage nodes, the dynamic addition of new storage nodes, and an algorithm togroup requests in heterogeneous systems.