A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Computing

Volumn 98, Issue 7, 2016, Pages 751-774

  Hameed, Abdul ^a   Khoshkbarforoushha, Alireza ^b   Ranjan, Rajiv ^c   Jayaraman, Prem Prakash ^c   Kolodziej, Joanna ^d   Balaji, Pavan ^e   Zeadally, Sherali ^f   Malluhi, Qutaibah Marwan ^g   Tziritas, Nikos ^h   Vishnu, Abhinav ⁱ   Khan, Samee U ^a   Zomaya, Albert ^j  

^a NORTH DAKOTA STATE UNIVERSITY   (United States)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c CSIRO   (Australia)

^d CRACOW UNIVERSITY OF TECHNOLOGY   (Poland)

^e ARGONNE NATIONAL LABORATORY   (United States)

^f UNIVERSITY OF THE DISTRICT OF COLUMBIA   (United States)

^g QATAR UNIVERSITY   (Qatar)

^h INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

ⁱ PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^j UNIVERSITY OF SYDNEY   (Australia)

more..

Author keywords

Cloud computing; Energy consumption; Energy efficiency; Energy efficient resource allocation; Power management

Indexed keywords

CLOUD COMPUTING; COMPLEX NETWORKS; DISTRIBUTED COMPUTER SYSTEMS; ENERGY UTILIZATION; POWER MANAGEMENT; RESOURCE ALLOCATION; TAXONOMIES;

ALLOCATION METHODS; CONTENT DELIVERY NETWORK; ENERGY-EFFICIENT RESOURCE ALLOCATION; HARDWARE AND SOFTWARE; NETWORK BANDWIDTH; OBJECTIVE FUNCTIONS; RESEARCH PROBLEMS; RESOURCE CAPACITY;

ENERGY EFFICIENCY;

EID: 84901734176     PISSN: 0010485X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00607-014-0407-8     Document Type: Article

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