DocumentCode :
1726743
Title :
Accelerating e-commerce sites in the cloud
Author :
Wei Hao ; Walden, James ; Trenkamp, C.
Author_Institution :
Dept. of Comput. Sci., Northern Kentucky Univ., Highland Heights, KY, USA
fYear :
2013
Firstpage :
605
Lastpage :
608
Abstract :
E-commerce web sites typically have large fluctuations in their IT resource usage, while rapid elasticity is an essential characteristic of cloud computing. These characteristics make the cloud a good fit for hosting e-commerce web sites. Cloud providers deploy their cloud in their data centers. However, cloud providers usually have a limited number of data center locations around the world. Thus, e-commerce web sites in the cloud may be far away from their customers. Long client-perceived response latency may cause e-commerce web sites to lose business. To solve this problem, we propose a virtual proxy solution to reduce the response latency of the e-commerce site in the cloud. In our approach, a virtual proxy platform is designed to cache applications and data of e-commerce sites. A k-means based table partitioning algorithm is designed to select frequently used data from the database in the cloud. We have used an industrial e-commerce benchmark TPC-W to evaluate the performance of our approach. The experimental results show that our approach can significantly reduce the client-perceived response time.
Keywords :
Web sites; cloud computing; computer centres; electronic commerce; IT resource usage; TPC-W industrial e-commerce benchmark; cloud computing; cloud providers; data centers; e-commerce Web sites; k-means based table partitioning algorithm; long client-perceived response latency; virtual proxy platform; Business; Cloud computing; Databases; Partitioning algorithms; Servers; Time factors; Web sites; Cloud Computing; E-Commerce Web Site; K-Means Table Partitioning; Virtual Proxy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-3131-9
Type :
conf
DOI :
10.1109/CCNC.2013.6488507
Filename :
6488507
Link To Document :
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