Abstract:
The increasing demand of cloud services has rapidly raised the size of data centers, and consequently their power consumption. Data centers are usually over-sized, to be ...Show MoreMetadata
Abstract:
The increasing demand of cloud services has rapidly raised the size of data centers, and consequently their power consumption. Data centers are usually over-sized, to be ready for further business increase; further, today many infrastructures are build as federation of multiple sites, to place the workload next to the user. Effective energy management policies are required in place to modulate power consumption according to the processing load to effectively tackle the dynamic fluctuations in workload. In this regard, service orchestrators and multi- and cross-cloud energy management systems need proper tools to understand how power consumption of cloud components would change with different placement decisions, both in the single as well as in federated clouds. In this paper, we describe a framework for drawing the relationship between resource usage such as CPU, memory and disk and energy consumption. Our work builds on the availability of both resource usage and power consumption measurements in Cloud Management Software, and makes proper correlation between these values to effectively support energy-efficiency strategies.
Published in: 2017 IEEE Conference on Network Softwarization (NetSoft)
Date of Conference: 03-07 July 2017
Date Added to IEEE Xplore: 14 August 2017
ISBN Information: