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Volumn 133, Issue , 2014, Pages 102-111

Dynamic resource provisioning in cloud computing: A heuristic markovian approach

Author keywords

Adaptive resource provisioning; Cloud computing; Dynamic resource provisioning; Estimation; Markov chain

Indexed keywords

COST EFFECTIVENESS; DISTRIBUTED COMPUTER SYSTEMS; ESTIMATION; MARKOV PROCESSES; NETWORK LAYERS;

EID: 84943232994     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-05506-0_10     Document Type: Conference Paper
Times cited : (29)

References (16)
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  • 5
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    • PMapper: Power and migration cost aware application placement in virtualized systems
    • In: Issarny, V., Schantz, R. (eds.), LNCS, Springer, Heidelberg
    • Verma, A., Ahuja, P., Neogi, A.: pMapper: power and migration cost aware application placement in virtualized systems. In: Issarny, V., Schantz, R. (eds.) Middleware 2008. LNCS, vol. 5346, pp. 243–264. Springer, Heidelberg (2008)
    • (2008) Middleware 2008 , vol.5346 , pp. 243-264
    • Verma, A.1    Ahuja, P.2    Neogi, A.3
  • 8
    • 84862947426 scopus 로고    scopus 로고
    • A threshold-based dynamic resource allocation scheme for cloud computing
    • Lin, W., et al.: A threshold-based dynamic resource allocation scheme for cloud computing. Procedia Eng. 23, 695–703 (2011)
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  • 10
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    • Adaptive resource provisioning for read intensive multi-tier applications in the cloud. Future Gener. Comput
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    • Iqbal, W.1
  • 11
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    • Design and implementation of adaptive power-aware virtual machine provisioner (APA-VMP) using swarm intelligence. Future Gener. Comput
    • Jeyarani, R., Nagaveni, N., Vasanth Ram, R.: Design and implementation of adaptive power-aware virtual machine provisioner (APA-VMP) using swarm intelligence. Future Gener. Comput. Syst. 28(5), 811–821 (2012)
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    • Empirical prediction models for adaptive resource provisioning in the cloud. Future Gener. Comput
    • Islam, S., et al.: Empirical prediction models for adaptive resource provisioning in the cloud. Future Gener. Comput. Syst. 28(1), 155–162 (2012)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.