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The main goal of this paper is to manage the switching on/off of servers in a data center during time to adapt the system with incoming traffic changes to ensure a good performance and a reasonable energy consumption. In this work, the system is modeled by a queue then, an optimization algorithm is designed to manage energy consumption and quality of service in the data center. For several systems,...
One of the most important practical and timely operational problem associated with the performance of data centers for cloud computing is energy consumption. The fundamental approach for saving energy in a data center is right-sizing the number of servers, i.e., the determination of the minimum required number of servers to meet the load demand, allowing unnecessary servers to be turned off, so that...
This paper explores the opportunity for energy cost saving in data centers that utilizes the flexibility from the Service Level Agreements (SLAs) and proposes a novel approach for capacity provisioning under bounded latency requirements of the workload. We investigate how many servers to keep active and how much workload to delay for energy saving while meeting latency constraints. We present an offline...
This paper proposes an operation management system to analyze operating workflows as preliminary step for the continual improvement of them. To provide highly dependable and cost effective services, telecom operators must decrease human errors and operational costs. It is common for the operators to conduct operating procedures by following predefined operational workflows. However, it is difficult...
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