Improved Genetic Algorithms and List Scheduling Techniques for Independent Task Scheduling in Distributed Systems

机译：分布式系统中独立任务调度的改进遗传算法和列表调度技术

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Given a set of tasks with certain characteristics, e.g., data size, estimated execution time and a set of processing nodes with their own parameters, the goal of task scheduling is to allocate tasks at nodes so that the total makespan is minimized. The pr

机译：给定一组具有某些特征的任务，例如数据大小，估计的执行时间以及一组具有其自身参数的处理节点，任务调度的目标是在节点上分配任务，以使总工期最小化。公关

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《Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2007 Eighth International Conference on》|2007年|P.67-74|共8页
会议地点 Adelaide SAAustralia
作者
Loukopoulos; T.; Lampsas; P.; Sigalas; P.;
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computational complexity; distributed programming; genetic algorithms; scheduling; task analysis; NP-complete problem; data transfers; distributed systems; genetic algorithms; independent task scheduling; list scheduling;

机译：计算复杂度；分布式编程；遗传算法；排程任务分析； NP完全问题；数据传输；分布式系统；遗传算法；独立的任务调度；清单排程;

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4. Improved Genetic Algorithms and List Scheduling Techniques for Independent Task Scheduling in Distributed Systems [C] . Loukopoulos Thanasis, Lampsas Petros, Sigalas Panos, International Conference on Parallel and Distributed Computing, Applications and Technologies . 2007

机译：改进的遗传算法和分布式系统中独立任务调度的列表调度技术
5. Algorithms and techniques for joint task scheduling in open computing systems. [D] . Thomadakis, Michael E. 1999

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7. An Improved Genetic Algorithm for Task Scheduling in Distributed Computing System [O] . Shuhao Cui, Hua Zhang 2016

机译：一种改进的分布式计算系统任务调度遗传算法

Improved Genetic Algorithms and List Scheduling Techniques for Independent Task Scheduling in Distributed Systems

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