DASCA: Data Aware Scaling Down to Provide Power Proportionality for Distributed Data Processing Frameworks

by Kim, Hyeong S., Dong In Shin, Young Jin Yu, Hyeonsang Eom and Yeom, Heon Y.
Reference:
DASCA: Data Aware Scaling Down to Provide Power Proportionality for Distributed Data Processing Frameworks (Kim, Hyeong S., Dong In Shin, Young Jin Yu, Hyeonsang Eom and Yeom, Heon Y.), In Proceedings of the 2011 International Green Computing Conference and Workshops, IEEE Computer Society, 2011.
Bibtex Entry:
@inproceedings{Kim:2011:DDA:2193318.2193352,
	author = {Kim, Hyeong S. and Dong In Shin and Young Jin Yu and Hyeonsang Eom and Yeom, Heon Y.},
	title = {DASCA: Data Aware Scaling Down to Provide Power Proportionality for Distributed Data Processing Frameworks},
	booktitle = {Proceedings of the 2011 International Green Computing Conference and Workshops},
	series = {IGCC '11},
	year = {2011},
	isbn = {978-1-4577-1222-7},
	pages = {1--8},
	numpages = {8},
	url = {http://dx.doi.org/10.1109/IGCC.2011.6008551},
	doi = {10.1109/IGCC.2011.6008551},
	acmid = {2193352},
	publisher = {IEEE Computer Society},
	address = {Washington, DC, USA},
	keywords = {distributed processing, DASCA, data aware scaling down, power proportionality, distributed data processing frameworks, cloud computing, IT services, cloud service providers, energy efficiency, distributed systems, energy proportionality, MapReduce framework, replica redistribution, power save mode},
}

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