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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >A Passive Solution to the CPU Resource Discovery Problem in Cluster Grid Networks
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A Passive Solution to the CPU Resource Discovery Problem in Cluster Grid Networks

机译：群集网格网络中CPU资源发现问题的被动解决方案

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摘要

We present the details of a novel method for passive resource discovery in cluster grid environments, where resources constantly utilize internode communication. Our method offers the ability to nonintrusively identify resources that have available CPU cycles; this is critical for lowering queue wait times in large cluster grid networks. The benefits include: 1) low message complexity, which facilitates low latency in distributed networks, 2) scalability, which provides support for very large networks, and 3) low maintainability, since no additional software is needed on compute resources. Using a 50-node (multicore) test bed (DETERlab), we demonstrate the feasibility of our method with experiments utilizing TCP, UDP, and ICMP network traffic. We use a simple but powerful technique that monitors the frequency of network packets emitted from the Network Interface Card (NIC) of local resources. We observed the correlation between CPU load and the timely response of network traffic. A highly utilized CPU will have numerous, active processes which require context switching. The latency associated with numerous context switches manifests as a delay signature within the packet transmission process. Our method detects that delay signature to determine the utilization of network resources. Results show that our method can consistently and accurately identify nodes with available CPU cycles (<70 percent CPU utilization) through analysis of existing network traffic, including network traffic that has passed through a switch (noncongested). Also, in situations where there is no existing network traffic for nodes, ICMP ping replies can be used to ascertain this resource information.
机译：我们介绍了群集网格环境中资源不断利用节点间通信的被动资源发现新方法的细节。我们的方法提供了非侵入式识别具有可用CPU周期的资源的能力。这对于减少大型集群网格网络中的队列等待时间至关重要。好处包括：1）低消息复杂性，这有助于降低分布式网络中的延迟； 2）可伸缩性，为大型网络提供支持； 3）低可维护性，因为计算资源不需要额外的软件。使用50节点（多核）测试平台（DETERlab），我们证明了通过TCP，UDP和ICMP网络流量进行实验的方法的可行性。我们使用一种简单但功能强大的技术来监视从本地资源的网络接口卡（NIC）发出的网络数据包的频率。我们观察到CPU负载与网络流量的及时响应之间的相关性。一个利用率高的CPU将具有大量需要上下文切换的活动进程。与大量上下文切换相关联的等待时间表现为分组传输过程中的延迟签名。我们的方法检测到该延迟签名，以确定网络资源的利用率。结果表明，我们的方法可以通过分析现有网络流量（包括经过交换机（未拥塞）的网络流量）来一致，准确地识别具有可用CPU周期（<70％CPU利用率）的节点。同样，在没有节点可用网络流量的情况下，可以使用ICMP ping答复来确定此资源信息。

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