E-STAB: Energy-Efficient Scheduling for Cloud Computing Applications With Traffic Load Balancing

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Cloud
Format: PDF
Energy consumption accounts for a large percentage of the operational expenses in data centers that are used as backend computing infrastructure for cloud computing. Existing solutions for energy efficiency and job scheduling are focusing on job distribution between servers based on the computational demands, while the communication demands are ignored. This paper emphases the role of communication fabric and presents a scheduling solution, named e-STAB, which takes into account traffic requirements of cloud applications providing energy efficient job allocation and traffic load balancing in data center networks.
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