Use of PVFS for Efficient Execution of Jobs with Pipeline-Shared I/O

  • Authors:
  • Nagavijayalakshmi Vydyanathan;Gaurav Khanna;Tahsin Kurc;Umit Catalyurek;Pete Wyckoff;Joel Saltz;P. Sadayappan

  • Affiliations:
  • The Ohio State University;The Ohio State University;The Ohio State University;The Ohio State University;Ohio Supercomputer Center;The Ohio State University;The Ohio State University

  • Venue:
  • GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
  • Year:
  • 2004

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Abstract

This paper is concerned with efficient execution of applications that are composed of chain of sequential data processes, which exchange data through a file system. We focus on pipeline-shared I/O behavior within a single pipeline of processes running on a cluster. We examine several scheduling strategies and experimentally evaluate them for efficient use the Parallel Virtual File System (PVFS) as a common storage pool.