Dynamic scheduling for workflow applications over virtualized optical networks

Jingyu Ding, Yan Wang, Jiajin Le, Yaohui Jin
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引用次数: 5

Abstract

Joint scheduling of both computation and communication resources for workflow based distributed computing application over optical networks has been studied recently. Most algorithms proposed in previous work are mainly based on static scheduling strategies with assumption that detail resource information and accurate performance prediction is available. In this paper, we propose to employ shared virtualized optical network (VON) for the task scheduling problem. Both customers and carriers can benefit from such architecture with better flexibility and scalability. Based on a new Scheduled Result Graph (SRG) concept, we propose a computation and communication delay aware rescheduling (C2DAR) scheme to deal with the dynamics from shared VON resources. We evaluate the performance of dynamic scheduling scheme over shared VON in comparison to the static scheduling over dedicated VON and entire optical network respectively. Simulation results also show that C2DAR scheme outperforms traditional computation delay aware rescheduling (CDAR) scheme under shared VON scenario.
虚拟化光网络上工作流应用的动态调度
基于工作流的光网络分布式计算应用中计算资源和通信资源的联合调度问题是目前研究的热点。以往提出的算法主要基于静态调度策略,并假设有详细的资源信息和准确的性能预测。在本文中,我们提出使用共享虚拟化光网络(VON)来解决任务调度问题。客户和运营商都可以从这种架构中受益,具有更好的灵活性和可扩展性。基于新的调度结果图(SRG)概念,提出了一种计算和通信延迟感知的重调度(C2DAR)方案来处理共享VON资源带来的动态影响。我们分别比较了共享VON上动态调度方案与专用VON上静态调度方案和全光网络上静态调度方案的性能。仿真结果表明,在共享VON场景下,C2DAR方案优于传统的计算延迟感知重调度(CDAR)方案。
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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