A Strategy for Server Management to Improve Cloud Service QoS

被引：14

作者：

Binh Minh Nguyen ^{[1
]}

Dang Tran ^{[1
]}

Quynh Nguyen ^{[1
]}

机构：

[1] Hanoi Univ Sci & Technol, Sch Informat & Commun Technol, Hanoi, Vietnam

来源：

2015 IEEE/ACM 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED SIMULATION AND REAL TIME APPLICATIONS (DS-RT) | 2015年

关键词：

cloud computing; green computing; queue theory; Markov chain; CloudSim; saving energy; STORAGE; ENERGY;

D O I：

10.1109/DS-RT.2015.14

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to [1], cloud computing is one of ICT core areas in the next five years. The computing paradigm also is a research trend that has attracted strongly scientist community. Until now, there are many studies, which have focused on saving energy for servers in cloud systems. During the operation process of cloud data center, idle servers bring about power waste phenomenon. In order to overcome the problem, turning off idle servers is the popular solution applied in most researches. However, the turn on/off processes often affect significantly to quality of service (QoS) of cloud services because the server turning on always takes a long time and thus reduces the capability of quick response of services that run on these servers. In this paper, we present a strategy for effective server management. The strategy is developed based on a novel three-state model for physical servers belonging to cloud data centers. Our proposed model with an intermediate state will decrease the waiting service time for cloud appliances deployed on server machines. As a result, the approach will improve the cloud service QoS. We use CloudSim [2] to experiment and evaluate the solution. We also consider the power consumption of our model to examine its effectiveness.

引用

页码：120 / 127

页数：8

共 12 条

[1]

[Anonymous], 2009, P C INN DAT SYST RES

[2] Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport [J].