A Multiobjective Approach For Real Time Task Assignment Problem In Heterogeneous Multiprocessors
作者: M. Poongothai A .Rajeswari A. Jabar Ali
刊名: Malaysian Journal of Computer Science (ISSN 0127-9084), 2019, Vol.32 (2)
来源数据库: Malaysian Journal of Library & Information Science
关键词: Real-time Task AssignmentResource ObjectiveEnergy ObjectiveMulti-Objective OptimizationHeterogeneous ProcessorsAnt Colony Optimization
原始语种摘要: Effective assignment of real-time tasks in heterogeneous multi-processor systems to achieve high performance issaid to be an NP-hard problem. This paper addresses the problem of real-time task assignment in heterogeneousmultiprocessor systems with the goal of maximizing the number of task assigned and decreasing the energyconsumption. A heuristic-based Multi-objective Hybrid Max-Min Ant Colony Optimization algorithm (MOHMMAS)on the heterogeneous multiprocessor system is proposed to analyze the tradeoffs between resourceutilization of all assigned tasks and cumulative energy consumption. Also, we have constructed pareto fronts toillustrate different task allocations, which can cause a heterogeneous multiprocessor system to consumesignificantly different amounts of energy. The proposed...
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  • consumption 消耗
  • problem 题目
  • cumulative 累积的
  • maximizing 最大化
  • proposed 建议的
  • multiprocessor 多处理机
  • algorithm 算法
  • system 
  • heuristic 试探
  • terms 术语