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A Job Scheduling Optimization Model based on Time Difference in Service Grid Environments

机译:基于服务网格环境的时间差的作业调度优化模型

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Service grid can provide us an environment to distribute tasks to executors around the world. Since there exist time zone difference and different working calendar systems for independent organizations, there will be some organizations are on-duty while others are off work at a specified time point. Therefore, the time factors can play an important role for job optimization scheduling in service grid. Aiming at utilizing the time difference, this paper proposed and constructed a mathematical model to solve the problem of completion time optimization of task scheduling in these environments. A case study is analyzed and it is shown that the whole execution time of the tasks can be shortened a lot while compared with the local execution scheduling model.
机译:服务网格可以为我们提供一个环境,以向世界各地的执行者分发任务。由于存在时区差异和独立组织的不同工作日历系统,因此有一些组织是值班的,而其他组织则在指定的时间点下班。因此,时间因素可以在服务网格中的作业优化调度发挥重要作用。旨在利用时间差,本文提出并构建了一个数学模型,以解决这些环境中任务调度的完成时间优化问题。分析了一个案例研究,结果表明,与本地执行调度模型相比,可以缩短任务的整个执行时间。

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