Name
Abstract | ||
|---|---|---|
Cloud computing has attracted much interest recently from both industry and academic. Nowadays, more and more Internet applications are moving to the cloud environment. Making optimal deployment of cloud applications is critical for providing good performance to attract users. Optimizing user experience is usually required for cloud service deployment. However, it is a challenging task to know the user experience of end users, since there is generally no proactive connection between a user to the machine that will host the service instance. To attack this challenge, in this paper, we first propose a framework to model cloud features and capture user experience. Then based on the collected user connection information, we formulate the redeployment of service instances as k-median and max k-cover problems. We proposed several approximation algorithms to efficiently solve these problems. Comprehensive experiments are conducted by employing a real-world QoS dataset of service invocation. The experimental results show the effectiveness of our proposed redeployment approaches. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CLOUD.2011.20 | IEEE CLOUD |
Keywords | Field | DocType |
max k-cover problems,user connection information,cloud service deployment,approximation theory,cloud application,quality of service,service instance,internet applications,real-world qos dataset,approximation algorithms,optimizing user experience,user experience-based cloud service redeployment mechanism,user experience,cloud environment,user experience-based cloud service,end user,cloud computing,redeployment mechanism,model cloud feature,k-median problems,greedy algorithms | Approximation algorithm,User experience design,Software deployment,End user,Computer science,Quality of service,Greedy algorithm,Cloud computing,The Internet,Distributed computing | Conference |
ISSN | ISBN | Citations |
2159-6182 E-ISBN : 978-0-7695-4460-1 | 978-0-7695-4460-1 | 4 |
PageRank | References | Authors |
0.39 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Kang | 1 | 70 | 7.77 |
| Yangfan Zhou | 2 | 146 | 7.98 |
| Zibin Zheng | 3 | 3731 | 199.37 |
| Michael R. Lyu | 4 | 10985 | 529.03 |