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首頁> 外文學位 >An empirical approach to communication and performance modeling for message passing parallel applications on cluster systems.
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An empirical approach to communication and performance modeling for message passing parallel applications on cluster systems.

機譯：對集群系統(tǒng)上的消息傳遞并行應用程序進行通信和性能建模的一種經(jīng)驗方法。

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摘要

The objective of this dissertation is twofold: (1) identification and quantification of network self-similarity in communication patterns of scientific applications on time-sharing cluster systems; and (2) empirical study of application-level performance degradation by sharing resources on such cluster systems. To accomplish these objectives, a software tool, COWPANTS (Cluster of Workstations Performance ANalyzer with Task Simulator), has been developed. The tool provides a simulated yet realistic parallel processing environment from which communication patterns are collected and analyzed for self-similarity. The level of self-similarity is determined with a point estimation of the Hurst parameter using several statistical methods. In addition, we introduce a novel approach to an interval estimation of Hurst parameter using the parametric bootstrapping method. Lastly, with the simulation and sampling capability of COWPANTS, empirical performance statistics are gathered to identify application-level performance slowdown due to resource sharing. From these results we are able to suggest combinations of parallel jobs that tend to yield the least application response time delay on time-sharing non-dedicated cluster systems.;In the time-sharing non-dedicated cluster systems which allow parallel jobs to run on a set of nodes with other parallel jobs, competition for CPU and network resources results in application response time delay and in turn delayed communication traffic completion. This deferment effect is expected to result in application slowdown at the user level. It may also suggest higher levels of long-range dependence in network packet traffic. Our study empirically quantifies self-similarity and application slowdown under the resource sharing environment for parallel processing. The approach we used for the parameter's point and interval estimates is a first attempt to a rigorous, quantitative measure of self-similarity in parallel processing communication, which in turn enables more accurate performance modeling of message passing parallel programs. And the results in our comparative application response time study may provide valuable insight that could lead to better resource management systems and scheduling schemes on time-sharing cluster systems and grid systems.
機譯：本文的目的是雙重的：（1）分時集群系統(tǒng)上科學應用通信模式中網(wǎng)絡自相似性的識別和量化； （2）通過在此類集群系統(tǒng)上共享資源來對應用程序級性能下降進行實證研究。為了實現(xiàn)這些目標，已經(jīng)開發(fā)了一種軟件工具COWPANTS（帶有Task Simulator的Workstation Performance ANalyzer群集）。該工具提供了一個模擬而又現(xiàn)實的并行處理環(huán)境，可從中收集通信模式并對其進行自相似性分析。通過使用幾種統(tǒng)計方法對赫斯特參數(shù)進行點估計來確定自相似程度。此外，我們介紹了一種使用參數(shù)自舉方法對Hurst參數(shù)進行區(qū)間估計的新穎方法。最后，借助COWPANTS的仿真和采樣功能，可以收集經(jīng)驗性能統(tǒng)計數(shù)據(jù)，以識別由于資源共享而導致的應用程序級性能下降。從這些結(jié)果中，我們能夠建議并行作業(yè)的組合，這些作業(yè)在分時共享非專用群集系統(tǒng)上往往會產(chǎn)生最小的應用程序響應時間延遲；在分時共享非專用群集系統(tǒng)中，這些并行作業(yè)允許并行作業(yè)在一組具有其他并行作業(yè)的節(jié)點，爭奪CPU和網(wǎng)絡資源會導致應用程序響應時間延遲，進而導致通信流量完成延遲。預計這種延遲效應會導致應用程序在用戶級別上變慢。它還可能表明網(wǎng)絡數(shù)據(jù)包流量中的較高級別的遠程依賴性。我們的研究從經(jīng)驗上量化了在資源共享環(huán)境下并行處理的自相似性和應用程序減慢。我們用于參數(shù)的點和間隔估計的方法是對并行處理通信中的自相似性進行嚴格，定量測量的首次嘗試，這反過來又使傳遞并行程序的消息的性能建模更為準確。我們的比較應用程序響應時間研究中的結(jié)果可能會提供有價值的見解，從而可以在分時群集系統(tǒng)和網(wǎng)格系統(tǒng)上建立更好的資源管理系統(tǒng)和調(diào)度方案。

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  • 作者

    Park, Jeho.;

  • 作者單位

    The Claremont Graduate University and California State University, Long Beach.;

  • 授予單位 The Claremont Graduate University and California State University, Long Beach.;
  • 學科 Engineering Electronics and Electrical.;Computer Science.
  • 學位 Ph.D.
  • 年度 2009
  • 頁碼 128 p.
  • 總頁數(shù) 128
  • 原文格式 PDF
  • 正文語種 eng
  • 中圖分類 無線電電子學、電信技術(shù);自動化技術(shù)、計算機技術(shù);
  • 關(guān)鍵詞

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