Optimal Speed Setting for Cloud Servers With Mixed Applications
Optimal Speed Setting for Cloud Servers With Mixed Applications
复制标题
混合应用云服务器的最佳速度设置
DOI：
10.1109/tii.2018.2856909
复制
发表时间：
2019-04
影响因子：
12.3
通讯作者：
Li Keqin
中科院分区：
文献类型：
--
作者：
Li Keqin
负载相关的动态功耗管理技术可以根据当前的负载动态灵活地调整功耗和速度。采用与工作负载相关的动态电源管理技术可以提高服务器的性能并降低能耗。这是一种有效的方法来处理云服务器的功率和性能权衡。在这项研究中，应用程序被分为不同的类，具有不同的特点。服务器处理不同类型任务的速度不同。因此，我们探索的技术变量和任务类型相关的服务器速度管理，以优化服务器的性能，并最大限度地减少功耗的服务器与混合应用程序。这也是一种依赖于工作负载的动态功率和速度管理，以处理功率和性能的折衷。我们建立了一个M/G/1模型，服务器具有可变的和任务类型相关的速度，使我们的研究可以进行解析。我们将功率约束的性能优化和性能约束的功率最小化问题转化为多变量优化问题，并采用有效的数值算法求解。我们提供数值数据来比较具有最佳速度设置的服务器与具有恒定速度的服务器的性能，并比较具有最佳速度设置的服务器与具有恒定速度的服务器的功率。结果表明，平均响应时间的减少可以高达9.9%，平均功耗的减少可以高达8.0%。
The technique of workload dependent dynamic power management can dynamically and flexibly adjust power and speed according to the current workload. It has been well recognized that improving server performance and reducing energy consumption can be achieved by employing the technique of workload dependent dynamic power management. It is an effective way to deal with the power and performance tradeoff for cloud servers. In this study, applications are divided into different classes, which have different characteristics. The server speed is different in processing tasks from different types. Hence, we explore the technique of variable and task type dependent server speed management to optimize the server performance and to minimize the power consumption of a server with mixed applications. This is also a kind of workload-dependent dynamic power and speed management to deal with the power and performance tradeoff. We establish an M/G/1 queueing model for a server with variable and task type dependent speed, so that our investigation can be conducted analytically. We formulate the problems of power constrained performance optimization and performance constrained power minimization as multivariable optimization problems, and solve the problems by efficient numerical algorithms. We provide numerical data to compare the performance of a server with the optimal speed setting to that of a server with a constant speed, and to compare the power of a server with the optimal speed setting to that of a server with a constant speed. It is shown that the reduction in the average response time can be as high as 9.9% and the reduction in the average power consumption can be as high as 8.0%.
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DOI：
10.1109/iccad.2011.6105393
发表时间：
2011-11
期刊：
2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
影响因子：
--
作者：
Ryan Cochran;Can Hankendi;A. Coskun;S. Reda
通讯作者：
Ryan Cochran;Can Hankendi;A. Coskun;S. Reda
DOI：
10.1166/jolpe.2016.1451
发表时间：
2016-12
期刊：
J. Low Power Electron.
影响因子：
--
作者：
Euiseok Kim;Youngsub Ko;S. Ha
通讯作者：
Euiseok Kim;Youngsub Ko;S. Ha
DOI：
10.1002/spe.2584
发表时间：
2018-10
期刊：
Software: Practice and Experience
影响因子：
--
作者：
Keqin Li
通讯作者：
Keqin Li
影响因子：
3.2
作者：
S. Dustdar;Yike Guo;B. Satzger;Hong Linh Truong
通讯作者：
S. Dustdar;Yike Guo;B. Satzger;Hong Linh Truong
影响因子：
6.5
作者：
Keqin Li
通讯作者：
Keqin Li