Workload shaping to mitigate variability in renewable power use by data centers

IEEE International Conference on Cloud Computing, CLOUD

Volumn , Issue , 2014, Pages 96-103

  Adnan, Muhammad Abdullah ^a   Gupta, Rajesh K ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COMPUTING; SOLAR ENERGY; SOLAR POWER GENERATION;

LATENCY CONSTRAINTS; ON-LINE ALGORITHMS; RENEWABLE GENERATION; SERVICE LEVEL AGREEMENT (SLAS); TRACE DRIVEN SIMULATION; USE OF RENEWABLE ENERGIES; WIND AND SOLAR POWER; WORST-CASE PERFORMANCE;

ENERGY CONSERVATION;

EID: 84919807861     PISSN: 21596182     EISSN: 21596190     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2014.23     Document Type: Conference Paper

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