Cloud computing offers utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centres hosting cloud applications consume huge amounts of energy, contributing to high operational cost and carbon footprint in the environment. This project aims to transform cloud computing by developing: (a) architectural principals for energy-efficient management of clouds; (b) energy-efficient resource allocation policies, and scheduling algorithms considering quality-of-service expectations and hardware power usage characteristics; and (c) a novel software technology for energy-efficient management of clouds.
Chen, N., Agarwal, A., Wierman, A., Barman, S. & Andrew, L. L. H., 2015, Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2015). Sengupta, S. & Shah, D. (eds.). New York NY USA: Association for Computing Machinery (ACM), Vol. 43. p. 191 - 20414 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review