A regression-based analytic model for capacity planning of multi-tier applications

Cluster Computing

Volumn 11, Issue 3, 2008, Pages 197-211

  Zhang, Qi ^a   Cherkasova, Ludmila ^b   Mi, Ningfang ^a   Smirni, Evgenia ^c  

^a MICROSOFT   (United States)

^b HEWLETT PACKARD LABORATORIES   (United States)

^c William and Mary   (United States)

Author keywords

Capacity planning; Changing workload; Multi tier systems; Regression based model

Indexed keywords

FOOD PROCESSING; MATHEMATICAL MODELS; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS; STANDARDIZATION; STANDARDS;

ANALYTIC MODELING; AUTONOMIC COMPUTING; CAPACITY PLANNING; CASE STUDIES; CHANGING WORKLOAD; CLIENT-SERVER; DYNAMIC RESOURCE PROVISIONING; ENTERPRISE APPLICATIONS; INDUSTRY STANDARDS; MODEL ADAPTIVITY; MULTI TIERED; MULTI-TIER APPLICATIONS; MULTI-TIER SYSTEMS; PERFORMANCE PREDICTIONS; REGRESSION-BASED MODEL; RESOURCE PROVISIONING;

QUALITY OF SERVICE;

EID: 48949094851     PISSN: 13867857     EISSN: 15737543     Source Type: Journal    
DOI: 10.1007/s10586-008-0052-0     Document Type: Article

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