An energy-aware virtual machine scheduling method for service QoS enhancement in clouds over big data

Author:

Dou Wanchun12,Xu Xiaolong12,Meng Shunmei12,Zhang Xuyun3,Hu Chunhua4,Yu Shui5,Yang Jian6

Affiliation:

1. State Key Laboratory for Novel Software Technology; Nanjing University; Nanjing China

2. Department of Computer Science and Technology; Nanjing University; Nanjing China

3. Department of Electrical & Computer Engineering; The University of Auckland; Auckland New Zealand

4. School of Computer and Information Engineering; Hunan University of Commerce; Hunan China

5. School of Information Technology; Deakin University; Melbourne Australia

6. Jiangsu Second Normal University; Nanjing China

Funder

National Natural Science Foundation of China

Key Research and Development Project of Jiangsu Province

Program for New Century Excellent Talents in University

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference39 articles.

1. Data mining with big datax;Wu;IEEE Transactions on Knowledge and Data Engineering,2014

2. Proximity-aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud;Zhang;IEEE Transactions on Computers,2015

3. IaaS cloud architecture: from virtualized datacenters to federated cloud infrastructures;Rafael;Computer,2012

4. Ibrahim S He B Jin Hai Towards pay-as-you-consume cloud computing IEEE International Conference on Services Computing (SCC) Washington 2011 370 377

5. Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms;Calheiros;Software: Practice and Experience,2011

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