@inproceedings{f6f76d4928544761a518b0ebe774e5cf,
title = "Service replication with mapreduce in clouds",
abstract = "In a tupical cloud environment, services wait to serve users' request. If a service receives more requests than it can handle, it needs to acquire additional resources. This paper proposes a new service replications that allows a cloud to adjust its service instance deployments in response to existing and projected service request loads. This approach is called Service-Level MapReduce (SLMR) because itis based on MapReduce, a parallel processing mechanism commonly used in cloud environments such as GAE (Google App Engin. SLMRincludes dynamic service replication and pre-deployed service replication. Furthermore, a passive SLMR approach that depends on the cloud management service (CMS) and an active SLMR approach that does not need the support from CMS will be introduced.",
keywords = "Cloud, Cloud management service, Service, Service level mapreduce, Service replication",
author = "Tsai, \{Wei Tek\} and Peide Zhong and Jay Elston and Xiaoying Bai and Yinong Chen",
year = "2011",
doi = "10.1109/ISADS.2011.57",
language = "英语",
isbn = "9780769543499",
series = "Proceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011",
pages = "381--388",
booktitle = "Proceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011",
note = "2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011 ; Conference date: 23-03-2011 Through 27-03-2011",
}