CARPO: Correlation-aware power optimization in data center networks

—Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their energy consumption, while only few studies have tried to address the energy consumption of data center networks (DCNs), which can account for 20% of the total energy consumption of a data center. In this paper, we propose CARPO, a correlation-aware power optimization algorithm that dynamically consolidates traffic flows onto a small set of links and switches in a DCN and then shuts down unused network devices for energy savings. In sharp contrast to existing work, CARPO is designed based on a key observation from the analysis of real DCN traces that the bandwidth demands of different flows do not peak at exactly the same time. As a result, if the correlations among flows are considered in consolidation, more energy savings can be achieved. In addition, CARPO integrates traffic consolidation with link rate a...

• Type: Journal
• Year: 2012
• Where: INFOCOM
• Authors: Xiaodong Wang, Yanjun Yao, Xiaorui Wang, Kefa Lu, Qing Cao
• Keywords: Communications, INFOCOM 2012, Optimization Algorithm, Power Optimization, Rate Adaptation