Renewable-aware geographical load balancing of web applications for sustainable data centers-Reference-Cited by-同舟云学术

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Renewable-aware geographical load balancing of web applications for sustainable data centers

Published:2017-04 Issue: Volume:83 Page:155-168
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Nadjaran Toosi Adel,Qu Chenhao,de Assunção Marcos Dias,Buyya Rajkumar

Funder

Australian Research Council (ARC) Future Fellowship

Discovery Project grants

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference44 articles.

1. Abbasi, Z., Pore, M., Gupta, S.K.S., 2014. Online server and workload management for joint optimization of electricity cost and carbon footprint across data centers. In: Proceedings of the 28th IEEE International Parallel and Distributed Processing Symposium, IPDPS '14, pp. 317–326. doi:10.1109/IPDPS.2014.42.

2. Adnan, M., Sugihara, R., Gupta, R., 2012. Energy efficient geographical load balancing via dynamic deferral of workload. In: Proceedings of the 5th IEEE International Conference on Cloud Computing, CLOUD '12, pp. 188–195. doi:10.1109/CLOUD.2012.45.

3. Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints;Beloglazov;IEEE Trans. Parallel Distrib. Syst.,2013

4. A taxonomy and survey of energy-efficient data centers and cloud computing systems;Beloglazov;Adv. Comput.,2011

5. Berral J.L,. Goiri, Nguyen, T.D., Gavald, R., Torres, J., Bianchini, R., 2014. Building green cloud services at low cost. In: Proceedings of the 34th IEEE International Conference onDistributed Computing Systems, ICDCS '14, pp. 449–460.doi:10.1109/ICDCS.2014.53.

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