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Power cost minimization in data centers Via Lyapunov optimization①
基金项目:the National Natural Science Foundation of China(61502255),the Inner Mongolia Provincial Natural Science Foundation(2014BS0607),the Science Research Project for Inner Mongolia College (No.NJZY14064).
摘    要:With the advent of big data , the demand for computing has been increasing in a very large scale for the past decade , so geographically distributed data centers are erected in the direction of cloud computing development .A Lyapunov optimization approach is considered for the problem of minimi-zing energy cost for distributed Internet data centers (IDCs).By capturing the power cost of servers and cooling systems , the Lyapunov optimization technique is formulated to design a decisive strategy that offers provable power cost minimization and QoS guarantees .The algorithm performance and ef-fectiveness are validated via simulations driven by real world traces .

关 键 词:power cost  quality-of-service(QoS)  workload
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