A Novel Approach for Simulation and Analysis of Cloud Data Center Applications

Atwal, Kuldip Singh; Bassiouni, Mostafa A.

doi:10.1109/smartcloud.2016.16

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…In a similar, vein Xu and Li [21] propose an energy efficient framework for resource allocation in the cloud, and others have proposed schemes aiming for energy proportionality for large-scale systems consisting of thousands of servers [22]. Simulation environments for understanding energy usage of cloud services have also been built and tested [23][24][25][26][27]. Surveys of research on energy efficiency in the cloud [28] and data centres [29] have been conducted, including surveys of specific applications, such as computational work [30], taxonomies of the problems being addressed [31], broader strategies for energy and carbon efficiency of data centres [32] and even surveys of the surveys [33].…”

Section: Related Workmentioning

confidence: 99%

Power Saving Proxies for Web Servers

O'Dwyer

Creedon

Purcell

et al. 2019

The Computer Journal

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Electricity is a major cost in running a data centre, and servers are responsible for a significant percentage of the power consumption. Given the widespread use of HTTP, both as a service and a component of other services, it is worthwhile reducing the power consumption of web servers. In this paper we consider how reverse proxies, commonly used to improve the performance of web servers, might be used to improve energy efficiency. We suggest that when demand on a server is low, it may be possible to switch off servers. In their absence, an embedded system with a small energy footprint could act as a reverse proxy serving commonly-requested content. When new content is required, the reverse proxy can power on the servers to meet this new load. Our results indicate that even with a modest server, we can get a 25% power saving while maintaining acceptable performance.

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