SHIP: A scalable hierarchical power control architecture for large-scale data centers

IEEE Transactions on Parallel and Distributed Systems

Volumn 23, Issue 1, 2012, Pages 168-176

  Wang, Xiaorui ^a   Chen, Ming ^b   Lefurgy, Charles ^c   Keller, Tom W ^c  

^a Ohio State University   (United States)

^b Network Appliance Inc   (United States)

^c IBM AUSTIN RESEARCH LABORATORY   (United States)

Author keywords

control theory; data centers; Power capping; power management; scalability; servers

Indexed keywords

CONTROL ACCURACY; CONTROL ARCHITECTURE; CONTROL SOLUTIONS; DATA CENTERS; EMPIRICAL RESULTS; EXTENSIVE SIMULATIONS; OPTIMIZED SYSTEM; PHYSICAL TESTBEDS; POWER CAPACITY; POWER CAPPING; POWER CONTROL STRATEGIES; POWER DISTRIBUTION UNITS; POWER LIMIT; POWER MANAGEMENTS; REAL TRACE; SINGLE SERVER; SYSTEM FAILURES;

CONTROL SYSTEM STABILITY; CONTROL THEORY; ENCLOSURES; ENERGY MANAGEMENT; POWER CONTROL; SCALABILITY; SERVERS; SHIPS; SYSTEMS ENGINEERING;

INFORMATION MANAGEMENT;

EID: 82555196006     PISSN: 10459219     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPDS.2011.93     Document Type: Article

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