2004Unpublished venueRequires access

Gang scheduling in a distributed system under processor failures and time-varying gang size

Helen D. Karatza

Open publisher page 11 citations

Abstract

In this paper we study the performance of a distributed system which is subject to hardware failures and subsequent repairs. A special type of scheduling called gang scheduling is considered, under which jobs consist of a number of interacting tasks which are scheduled to run simultaneously on distinct processors. System performance is examined and compared in cases where different distributions for the number of parallel tasks per job (gang size) are employed We examine cases where gang size is defined by a specific distribution and also a case where gang size distribution varies with time.

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What this paper is about

In this paper we study the performance of a distributed system which is subject to hardware failures and subsequent repairs. A special type of scheduling called gang scheduling is considered, under which jobs consist of a number of interacting tasks which are scheduled to run simultaneously on distinct processors. System performance is examined and compared in cases where different distributions for the number of parallel tasks per job (gang size) are employed We examine cases where gang size is defined by a specific distribution and also a case where gang size distribution varies with time.

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Available abstract

In this paper we study the performance of a distributed system which is subject to hardware failures and subsequent repairs. A special type of scheduling called gang scheduling is considered, under which jobs consist of a number of interacting tasks which are scheduled to run simultaneously on distinct processors. System performance is examined and compared in cases where different distributions for the number of parallel tasks per job (gang size) are employed We examine cases where gang size is defined by a specific distribution and also a case where gang size distribution varies with time.

Key concepts: Scheduling (production processes), Computer science, Processor scheduling, Execution time, Parallel computing, Distributed computing, Operating system, Mathematical optimization

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