@article {2016,
	title = {HFSP: Bringing size-based scheduling to Hadoop},
	journal = {IEEE Transaction on Cloud Computing},
	year = {2015},
	author = {Mario Pastorelli and Damiano Carra and Matteo Dell{\textquoteright}Amico and Pietro Michiardi}
}
@inproceedings {Mar2013,
	title = {HFSP: Size-based Scheduling for Hadoop},
	booktitle = {BIGDATA 2013, IEEE International Conference on BigData, October 6-9, 2013, Santa-Clara, CA, USA},
	year = {2013},
	month = {10},
	url = {http://www.eurecom.fr/publication/4106},
	author = {Pastorelli Mario and Barbuzzi Antonio and Carra Damiano and Dell{\textquoteright}Amico Matteo and Michiardi Pietro}
}
@inproceedings {Fia2013,
	title = {HTTPTag: A Flexible On-line HTTP Classification System for Operational 3G Networks},
	booktitle = {INFOCOM{\textquoteright}2013 Demo/Poster Session (INFOCOM{\textquoteright}2013 - Demo/Poster Session)},
	year = {2013},
	address = {Turin, Italy},
	abstract = {<p>The popularity of web-based services and applications like YouTube and Facebook has taken HTTP back to the pole position on end-user traffic consumption. We present HTTPTag, a flexible on-line HTTP classification system based on pattern matching and tagging. HTTPTag recognizes on the fly and tracks the evolution of more than 280 applications running on top of HTTP in an operational 3G network, representing more than 70\% of the total HTTP traffic volume consumed by its customers. HTTPTag improves the network traffic visibility of an operator, performing tasks such as top-services ranking, long-term monitoring of applications popularity, and trend analysis among others.</p>},
	keywords = {3G Networks, HTTP, Pattern Matching, Traffic Classification},
	author = {Pierdomenico Fiadino and A B{\"a}r and P. Casas}
}
