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首页> 外文期刊>IEEE transactions on industrial informatics >An Extended Simple Power Consumption Model for Selecting a Server to Perform Computation Type Processes in Digital Ecosystems
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An Extended Simple Power Consumption Model for Selecting a Server to Perform Computation Type Processes in Digital Ecosystems

机译：扩展的简单功耗模型，用于选择服务器以在数字生态系统中执行计算类型的过程

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摘要

In information systems, applications are required to be realized in the digital ecosystems, high performance systems, and scalable systems. In these applications, a client first selects a server in a cluster of servers and issues a request to the server. The request is performed as a process in the server. In this paper, we consider a computation process which mainly consumes the central processing unit (CPU) resources. Cooling devices, such as fans, consume the electric power in addition to the CPU of a server. The rotation speed of a fan is revved up in servers in order to decrease the temperature of a server. Thus, the total power consumption of a server depends on not only computational devices such as a CPU, but also cooling devices. We discuss an extended simple power consumption (ESPC) model of a server with a multicore CPU and cooling devices to perform computation type processes. It is critical to discuss how to select a server for each request issued by a client in order to not only achieve performance objectives, but also reduce the total power consumption of a system based on the ESPC model. An improved power consumption laxity-based (IPCLB) algorithm for selecting a server is proposed in this paper, where the minimum power to be consumed is used to perform the process. We evaluate the ESPC model and IPCLB algorithm in terms of power consumption and elapse time.
机译：在信息系统中，要求在数字生态系统，高性能系统和可伸缩系统中实现应用程序。在这些应用程序中，客户端首先选择服务器集群中的服务器，然后向服务器发出请求。该请求作为服务器中的过程执行。在本文中，我们考虑了一个主要消耗中央处理器（CPU）资源的计算过程。冷却设备（例如风扇）不仅消耗服务器的CPU，还消耗电力。为了降低服务器的温度，在服务器中提高风扇的转速。因此，服务器的总功耗不仅取决于诸如CPU的计算设备，而且还取决于冷却设备。我们讨论了服务器的扩展简单功耗（ESPC）模型，该服务器具有多核CPU和冷却设备以执行计算类型的过程。至关重要的是，讨论如何为客户端发出的每个请求选择服务器，以不仅实现性能目标，而且降低基于ESPC模型的系统的总功耗。提出了一种改进的基于功耗松弛的（IPCLB）选择服务器算法，其中，将消耗的最小功耗用于执行该过程。我们根据功耗和运行时间评估ESPC模型和IPCLB算法。

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