@inproceedings{8c67451ab0264ff9bd6e07a43ab5f577,
title = "An information-theoretic view of cloud workloads",
abstract = "Analytics-as-a-service is emerging as a key offering for cloud systems, however in the petascale regime, data transfer bottlenecks are a limiting factor. Often information has to be transmitted to the cloud by physical transportation. Efficient information representations that leverage the functional purpose of data for the analytics service to be offered can serve to ameliorate many of these information flow bottlenecks. In this paper, we provide an information-theoretic view on optimal information representations for big data analytics in the cloud. We also provide some structural design principles for building a petascale analytics appliance.",
keywords = "Analytics-as-a-service, cloud computing, data compression, data transfer bottlenecks, information theory",
author = "Varshney, {Lav R.} and Ratakonda, {Krishna C.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2nd IEEE International Conference on Cloud Engineering, IC2E 2014 ; Conference date: 10-03-2014 Through 14-03-2014",
year = "2014",
month = sep,
day = "18",
doi = "10.1109/IC2E.2014.73",
language = "English (US)",
series = "Proceedings - 2014 IEEE International Conference on Cloud Engineering, IC2E 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "466--471",
booktitle = "Proceedings - 2014 IEEE International Conference on Cloud Engineering, IC2E 2014",
address = "United States",
}