计算电网的多目标和多限制任务调度框架
Sujay N Hegde1, D B Srinivas2, M A Rajan3
1University of California USA, Irvine, CA, USA.
Scientific reports
|March 19, 2024
概括
本研究介绍了异质电网网络的高效多目标任务调度框架. 拟议的系统优化了任务调度,以尽量减少成本和周转时间,同时最大限度地利用电网.
科学领域:
- 计算机科学 计算机科学
- 分布式计算 (Distributed Computing) 是一种分布式计算.
- 计算科学 计算科学
背景情况:
- 网格计算可以促进大规模的并行应用.
- 在计算网格上调度任务是一个NP完全问题.
- 现有的算法通常专注于单个目标,如makepan或cost.
研究的目的:
- 为异质电网网络提出一个高效的多目标任务调度框架.
- 为了满足用户对成本和延迟降低的需求,以及供应商对高利用率和利能力的需求.
- 为了平衡多个调度目标之间的权衡.
主要方法:
- 开发了一个多目标优化框架,用于任务安排.
- 设计了一个调度器,以尽量减少周转时间,通信和执行成本.
- 使用GridSim模拟器进行性能评估.
主要成果:
- 拟议的框架有效地将关键绩效指标降到最低.
- 通过实验验证证明了通过实验验证来提高电网利用率.
- 在任务安排中成功平衡了多个竞争目标.
结论:
- 开发的框架为在电网上安排计算密集型任务提供了有效的解决方案.
- 多目标优化对于在电网环境中平衡用户和供应商要求至关重要.
- 这种方法对提高异质电网网络性能充满希望.
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