Adaptive Network Resource Reallocation for Hot-Spot Avoidance on SDN-Based Cluster System
Adaptive Network Resource Reallocation for Hot-Spot Avoidance on SDN-Based Cluster System
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DOI：
10.1109/cloudcom.2016.0105
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发表时间：
2016-12
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影响因子：
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通讯作者：
Masaharu Shimizu;Yasuhiro Watashiba;S. Date;S. Shimojo
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文献类型：
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作者：
Masaharu Shimizu;Yasuhiro Watashiba;S. Date;S. Shimojo
在云计算背后运行的集群系统上，大多数应用程序都会生成多个进程，然后在多个计算节点上执行。它们的进程在执行过程中相互通信。多进程间的通信性能对应用程序的整体执行性能起着重要的作用。我们在之前的工作中开发的SDN-enhanced JMS提供了一个框架，允许管理员使用集群系统上的计算和网络资源信息来规定资源配置方式。然而，一个先进的和有效的方法，提供一个适当的计算和网络资源的作业仍然是一个有待解决的问题。在本文中，我们的目的是设计和实现一个自适应的网络资源分配方法，网络资源可以重新分配到执行中的作业，以响应发生在作业调度和终止事件的进程放置的变化。实验结果表明，该方法能够有效地重新分配执行中作业的网络资源，抑制作业网络吞吐量的下降。
On a cluster system running behind the Cloud computing, multiple processes are generated from most applications and then executed on multiple computing nodes. Their processes communicate with each other during their execution. The communication performance among multiple processes plays an important role in the total execution performance of an application. The SDN-enhanced JMS, which we have developed in the previous work, offers the framework that allows administrators to prescribe resource provisioning way using the information on both computing and network resources on a cluster system. However, an advanced and effective method for providing an appropriate set of computing and network resources to jobs is still an issue to be tackled. In this paper, we aim to design and implement an adaptive network resource allocation method with which network resources can be reallocated to jobs in execution, in response to the change of process placement occurred at job dispatch and termination events. Our evaluation shows that the proposed method can reallocate network resources of jobs in execution, and suppress the degradation of network throughput of jobs.