DocumentCode :
3739410
Title :
A Strategy for Server Management to Improve Cloud Service QoS
Author :
Binh Minh Nguyen;Dang Tran;Quynh Nguyen
Author_Institution :
Sch. of Inf. &
fYear :
2015
Firstpage :
120
Lastpage :
127
Abstract :
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.
Keywords :
"Servers","Cloud computing","Markov processes","Data models","Switches","Mathematical model","Quality of service"
Publisher :
ieee
Conference_Titel :
Distributed Simulation and Real Time Applications (DS-RT), 2015 IEEE/ACM 19th International Symposium on
ISSN :
1550-6525
Type :
conf
DOI :
10.1109/DS-RT.2015.14
Filename :
7395925
Link To Document :
بازگشت