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      Online solutions for scalable file server systems

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      Author
      Tse, Savio S. H.
      Date
      2006
      Source Title
      InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
      Publisher
      ACM
      Volume
      152
      Language
      English
      Type
      Conference Paper
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      Abstract
      We propose three online algorithms for scalable file server systems. A scalable file server is expected to provide rather stable services while the numbers of users, tasks, and data volumes keep increasing. One of the purposes of parallel and distributed approaches is to achieve scalability. Sufficient hardware resources are essential for good services; however, a good coordination of them is also indispensable, as parallel and distributed resources need to complement the shortages of each other, and it falls on the shoulders of the algorithmic and architectural designs. In this paper, we address the load balancing problem in scalable file servers. The three online approximate algorithms proposed is for placing and deleting documents in a system of M distributed file servers located in a cluster in order to balance the loads and required storage spaces among all servers. In [7], we have proposed some algorithms without allowing re-allocation. In this paper, by paying the re-allocation cost, we have several improvements on some existing results. © 2006 ACM.
      Keywords
      Approximation algorithms
      Online systems
      Resource allocation
      Systems analysis
      Distributed resources
      File servers
      Online approximate algorithms
      Scalable file server systems
      Servers
      Permalink
      http://hdl.handle.net/11693/27212
      Published Version (Please cite this version)
      http://dx.doi.org/10.1145/1146847.1146892
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      • Department of Computer Engineering 1370
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