首页> 外文学位 >A COMPARISON OF FILE ALLOCATION DECISION-MAKING SCHEMES (REPLICATED FILES, DISTRIBUTED NETWORKS, SIMULATION EXPERIMENTS, DISTRIBUTED DATABASES)
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A COMPARISON OF FILE ALLOCATION DECISION-MAKING SCHEMES (REPLICATED FILES, DISTRIBUTED NETWORKS, SIMULATION EXPERIMENTS, DISTRIBUTED DATABASES)

机译:文件分配决策方案(重复文件,分布式网络,模拟实验,分布式数据库)的比较

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摘要

We compare decentralized file allocation decision-making to centralized file allocation decision-making. The file allocation problem is the assignment of copies of a file to nodes on a distributed network to optimize some network performance measure. In decentralized file allocation decision-making each node independently decides the placement of some copies of a file. While in centralized file allocation decision-making, one central node decides where all copies are placed. Decentralized file allocation decision-making is resilient to a number of node failures, uses minimum computational resources, takes advantage of concurrent processing and is adaptable to distributed networks. On the other hand, we expect decentralized file allocation decision-making to produce solutions which are no better than those produced by centralized file allocation decision-making. The tradeoff is between optimality of the solution and the amount of resources used to obtain the solution.;The method used for comparison is experimental. The principal measure of performance used in the comparison is mean data access time. The performance of the file allocation decision-making schemes being examined is compared for various network topologies and varying workloads.;We find that we can describe a simple robust scheme for decentralized file allocation decision-making which is efficient and resulting file assignments perform decently in a distributed network. Additionally, we discover a relationship between the performance of file allocation decision-making schemes and network topologies.;Contributions of this thesis include: (a) A characterization of time-variant workload to aid in the study of the effects of time-variant workload. (b) A model for the integration of the file allocation function and a DDBMS. (c) A specific decentralized file allocation algorithm for computation of file assignments. (d) A scheme for decentralized control of copies of a file using tokens. (e) A simulator to perform the comparison tests of this thesis and in future research.
机译:我们将分散文件分配决策与集中文件分配决策进行比较。文件分配问题是将文件副本分配给分布式网络上的节点,以优化某些网络性能指标。在分散文件分配决策中,每个节点独立决定文件的某些副本的位置。在集中式文件分配决策中,一个中央节点决定所有副本的放置位置。分散式文件分配决策可抵抗许多节点故障,使用最少的计算资源,利用并发处理的优势,并适用于分布式网络。另一方面,我们期望分散文件分配决策产生的解决方案不会比集中文件分配决策产生的解决方案更好。折衷方案是在解决方案的最优性与用于获得解决方案的资源量之间。用于比较的方法是实验性的。比较中使用的主要性能指标是平均数据访问时间。比较了各种网络拓扑结构和不同工作负载下正在检查的文件分配决策方案的性能。我们发现,我们可以为分散的文件分配决策制定一个简单而健壮的方案,该方案高效且生成的文件分配性能很好。分布式网络。此外,我们发现了文件分配决策方案的性能与网络拓扑之间的关系。本论文的贡献包括:(a)表征时变工作负载,以帮助研究时变工作负载的影响。 (b)整合文件分配功能和DDBMS的模型。 (c)一种特定的分散式文件分配算法,用于计算文件分配。 (d)一种使用令牌对文件副本进行分散控制的方案。 (e)用于执行本论文和未来研究的比较测试的模拟器。

著录项

  • 作者

    MALDONADO, MARTIN FROILAN.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 1986
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:51:06

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