Use of Supercomputing towards the Generation of a Process Execution Plan in Distributed Real-Time Systems

Gutierrez Diaz de Leon Luis Alberto, F. Alberto, Gutierrez Diaz de Leon Carlos Adrian
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Abstract

This work consider the scheduling of periodic tasks or processes with real-time constraints in a distributed environment. Each task must be executed meeting deadlines, precedence relationships and resources constraints. The problem of scheduling tasks on a distributed environment can be viewed as a problem of assigning processes to the processors but keeping the schedulability in local environments. Thus, the problem can be divided in two phases: the first phase is assigning processes to processors and the second is to schedule assigned processes in each processor in the distributed environment. This paper focuses in the first phase. It introduces a heuristic mechanism for assigning processes in a distributed environment with real-time constraints. The heuristic mechanism has two alternative ways to perform: one takes into account the utilization factor and the other considers period. The performance of both alternatives proposed is evaluated via simulation on a high performance-computing platform.
在分布式实时系统中使用超级计算生成进程执行计划
这项工作考虑了在分布式环境中具有实时约束的周期性任务或进程的调度。每个任务必须在最后期限、优先级关系和资源限制下执行。在分布式环境中调度任务的问题可以看作是将进程分配给处理器,但在本地环境中保持可调度性的问题。因此,问题可以分为两个阶段:第一个阶段是将进程分配给处理器,第二个阶段是调度分布式环境中每个处理器中分配的进程。本文的研究重点在第一阶段。它引入了一种启发式机制,用于在具有实时约束的分布式环境中分配进程。启发式机制有两种可选的执行方式:一种考虑利用率因素,另一种考虑周期。在高性能计算平台上对两种方案的性能进行了仿真评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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