Towards a Leaner Geo-distributed Cloud Infrastructure
Authors:
Iyswarya Narayanan, The Pennsylvania State University; Aman Kansal, Microsoft Corporation; Anand Sivasubramaniam and Bhuvan Urgaonkar, The Pennsylvania State University; Sriram Govindan, Microsoft Corporation
Abstract:
Modern cloud infrastructures are geo-distributed. Geodistribution offers many advantages but can increase the total cloud capacity required. To achieve low latency, geo-distribution forfeits statistical multiplexing of demand that a single data center could benefit from. Geo-distribution also complicates software design due to storage consistency issues. On the other hand, geodistribution can lower costs through eliminating redundancies at individual sites or exploiting regional differences in energy prices. We discuss several factors that influence geo-distributed capacity provisioning, and quantify latency, availability, and capacity trade-offs that emerge. We describe open research challenges in designing software that efficiently uses cloud capacity
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BibTeX
@inproceedings {183744,
author = {Iyswarya Narayanan and Aman Kansal and Anand Sivasubramaniam and Bhuvan Urgaonkar and Sriram Govindan},
title = {Towards a Leaner Geo-distributed Cloud Infrastructure},
booktitle = {6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 14)},
year = {2014},
address = {Philadelphia, PA},
url = {https://www.usenix.org/conference/hotcloud14/workshop-program/presentation/narayanan},
publisher = {USENIX Association},
month = jun
}
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