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Distributed Computing Feasibility in a Non-Dedicated Homogeneous Distributed System

Distributed Computing Feasibility in a Non-Dedicated Homogeneous Distributed System
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
Total Pages: 32
Release: 2018-07-02
Genre:
ISBN: 9781722176952

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The low cost and availability of clusters of workstations have lead researchers to re-explore distributed computing using independent workstations. This approach may provide better cost/performance than tightly coupled multiprocessors. In practice, this approach often utilizes wasted cycles to run parallel jobs. The feasibility of such a non-dedicated parallel processing environment assuming workstation processes have preemptive priority over parallel tasks is addressed. An analytical model is developed to predict parallel job response times. Our model provides insight into how significantly workstation owner interference degrades parallel program performance. A new term task ratio, which relates the parallel task demand to the mean service demand of nonparallel workstation processes, is introduced. It was proposed that task ratio is a useful metric for determining how large the demand of a parallel applications must be in order to make efficient use of a non-dedicated distributed system. Leutenegger, Scott T. and Sun, Xian-He Unspecified Center NAS1-19480; RTOP 505-90-52-01...


Distributed Computing Feasibility in a Non-dedicated Homogeneous Distributed System

Distributed Computing Feasibility in a Non-dedicated Homogeneous Distributed System
Author: Scott T. Leutenegger
Publisher:
Total Pages: 32
Release: 1993
Genre: Electronic data processing
ISBN:

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Abstract: "The low cost and availability of clusters of workstations have lead [sic] researchers to re-explore distributed computing using independent workstations. This approach may provide better cost/performance than tightly coupled multiprocessors. In practice, this approach often utilizes wasted cycles to run parallel jobs. In this paper we address the feasibility of such a non-dedicated parallel processing environment assuming workstation processes have preemptive priority over parallel tasks. We develop an analytical model to predict parallel job response times. Our model provides insight into how significantly workstation owner interference degrades parallel program performance. A new term task ratio, which relates the parallel task demand to the mean service demand of non parallel workstation processes, is introduced. We propose that task ratio is a useful metric for determining how large the demand of a parallel applications [sic] must be in order to make efficient use of a non-dedicated distributed system."


Handbook of Research on Scalable Computing Technologies

Handbook of Research on Scalable Computing Technologies
Author: Li, Kuan-Ching
Publisher: IGI Global
Total Pages: 1086
Release: 2009-07-31
Genre: Computers
ISBN: 1605666629

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"This book presents, discusses, shares ideas, results and experiences on the recent important advances and future challenges on enabling technologies for achieving higher performance"--Provided by publisher.


Proceedings

Proceedings
Author:
Publisher:
Total Pages: 348
Release: 1995
Genre: Computer networks
ISBN:

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Conference Proceedings

Conference Proceedings
Author:
Publisher:
Total Pages: 492
Release: 1998
Genre: Supercomputers
ISBN:

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Euro-Par 2009 - Parallel Processing

Euro-Par 2009 - Parallel Processing
Author: Dick Epema
Publisher: Springer Science & Business Media
Total Pages: 1126
Release: 2009-08-17
Genre: Computers
ISBN: 3642038689

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This book constitutes the refereed proceedings of the 15th International Conference on Parallel Computing, Euro-Par 2009, held in Delft, The Netherlands, in August 2009. The 85 revised papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed databases; grid, cluster, and cloud computing; peer-to-peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.