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Wang et al., 2012 - Google Patents

A framework for distributed data-parallel execution in the Kepler scientific workflow system

Wang et al., 2012

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Document ID
15466032345666060524
Author
Wang J
Crawl D
Altintas I
Publication year
Publication venue
Procedia Computer Science

External Links

Snippet

Abstract Distributed Data-Parallel (DDP) patterns such as MapReduce have become increasingly popular as solutions to facilitate data-intensive applications, resulting in a number of systems supporting DDP workflows. Yet, applications or workflows built using …
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Classifications

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    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5066—Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
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    • G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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