雲端伺服器動態節能之研究

A Study of Dynamic Energy Saving for Cloud Computing Servers

張哲源(Che-Yuan Chang)

指導教授 ： 李良德

大同大學/電機資訊學院/資訊工程學系所/碩士(2012年)

摘要

近年來由於雲端運算概念的興起，網際網路服務的應用，已透過雲端運算擴大其服務層面的廣度及服務內容的深度，許多科技公司開始建立自己的雲端服務，其中像是Google Apps及Apple的多媒體服務，但建置雲端服務的數據中心也產生了龐大的電能耗費及二氧化碳的排放，並且大多數的數據中心資源並沒有得到充分的利用。因此要如何有效利用伺服器的資源及降低能源消耗成了一個重要的議題。
本論文提出一個改良式最佳遞減裝箱配置（MBFDP, Modified Best Fit Decreasing Packing）方法並整合需求預測模型，針對雲端伺服器動態節能的改進方法，以降低伺服器的能源耗費及提高伺服器的資源利用率，而其中關鍵的技術如虛擬化技術等也將在本文中論及。

關鍵字

裝箱問題 ； 節能 ； 伺服器整合 ； 雲端計算 ； 虛擬機器

並列摘要

The applications of the Internet service have been extended rapidly since the raising of the cloud computing concepts. However, constructing a data center of the cloud computing service also has been creating the problem of power consuming and carbon dioxide emission. Since the resources of data center have not been used effectively, the decreasing of power consumption and increasing efficiency of server’s resources are important issues in the cloud computing environment. This thesis presents an improving method, MBFDP (Modified Best Fit Decreasing Packing) , to integrate servers for decreasing power consuming and to enhance resources usage of the server resources. Some key techniques, such as virtualization and packing problem, will also be discussed.

並列關鍵字

Virtual Machine ； Cloud Computing ； Integrating Server ； Energy Saving ； Packing Problem

參考文獻

[2] R. Bianchini and R. Rajamony, “Power and energy management for server systems,” Computer, vol. 37, pp. 68–74, 2004.

[3] Y.F. Li, W. Li and C.F. Jiang, “A Survey of Virtual Machine System: Current Technology and Future Trends,” Third International Symposium on Electronic Commerce and Security, pp.332-336, 2010.

[6] T. Hirofuchi, H. Ogawa, H. Nakada, S. Itoh and S. Sekiguchi, “A Live Storage Migration Mechanism over WAN for Relocatable Virtual Machine Services on Clouds,” 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, pp.460-465, 2009

[8] A. Caprara, P. Toth, “Lower bounds and algorithms for the 2-dimensional vector packing problem,” Discrete Applied Mathematics. pp.231-262, 2001.

[1] T. V. T. Duy, Y. Sato, and Y. Inoguchi, “Performance evaluation of a green scheduling algorithm for energy savings in cloud computing,” in 2010 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), Apr. 2010, pp. 1–8。