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Volumn , Issue , 2012, Pages 590-597

Composite SaaS placement and resource optimization in cloud computing using evolutionary algorithms

Author keywords

Evolutionary Algorithm; Optimization; Placement; Software as a Service

Indexed keywords

CLOUD DATA; EXECUTION TIME; MINIMUM COST; PERFORMANCE BASED; PLACEMENT; RESOURCE MANAGEMENT; RESOURCE OPTIMIZATION; RESOURCE OPTIMIZATION PROBLEM; RESOURCE USAGE; SOFTWARE AS A SERVICE;

EID: 84866753300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2012.61     Document Type: Conference Paper
Times cited : (43)

References (26)
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    • Resource calculations with constraints, and placement of tenants and instances for multi-tenant SaaS applications
    • Sydney, Australia: Springer
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    • Kwok, T.1    Mohindra, A.2
  • 12
    • 56849097798 scopus 로고    scopus 로고
    • Automated application component placement in data centers using mathematical programming
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    • (2008) International Journal of Network Management , vol.18 , Issue.6 , pp. 467-483
    • Zhu, X.1    Santos, C.2    Beyer, D.3    Ward, J.4    Singhal, S.5
  • 20
    • 63649117166 scopus 로고    scopus 로고
    • Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
    • Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), p. 599-616.
    • (2009) Future Generation Computer Systems , vol.25 , Issue.6 , pp. 599-616
    • Buyya, R.1    Yeo, C.S.2    Venugopal, S.3    Broberg, J.4    Brandic, I.5
  • 26
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    • http://www-07.ibm.com/storage/au/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.