ROAR: A QoS-oriented modeling framework for automated cloud resource allocation and optimization

Journal of Systems and Software

Volumn 116, Issue , 2016, Pages 146-161

  Sun, Yu ^a   White, Jules ^b   Eade, Sean ^c   Schmidt, Douglas C ^b  

^a CALIFORNIA STATE POLYTECHNIC UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c Siemens Industry ^*  (Germany)

Author keywords

Cloud computing; Load testing and benchmarking; Resource optimization

Indexed keywords

APPLICATION PROGRAMMING INTERFACES (API); APPLICATION PROGRAMS; BENCHMARKING; CLOUD COMPUTING; COMPUTER PROGRAMMING LANGUAGES; COST BENEFIT ANALYSIS; COST EFFECTIVENESS; COSTS; DISTRIBUTED COMPUTER SYSTEMS; LOAD TESTING; OPTIMAL SYSTEMS; PROBLEM ORIENTED LANGUAGES; RESOURCE ALLOCATION; SOCIAL NETWORKING (ONLINE); SOFTWARE AS A SERVICE (SAAS); WORLD WIDE WEB;

DOMAIN SPECIFIC LANGUAGES; MEDICAL RECORDS SYSTEMS; MULTI-TIER APPLICATIONS; RESOURCE ALLOCATION DECISION; RESOURCE CONFIGURATIONS; RESOURCE OPTIMIZATION; RESOURCE UTILIZATIONS; SMART GRID APPLICATIONS;

QUALITY OF SERVICE;

EID: 84941255053     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jss.2015.08.006     Document Type: Article

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