TY - GEN
T1 - InfoMax
T2 - 24th International Conference on Computer Communications and Networks, ICCCN 2015
AU - Lee, Jongdeog
AU - Kapoor, Akash
AU - Al Amin, Md Tanvir
AU - Wang, Zhehao
AU - Zhang, Zeyuan
AU - Goyal, Radhika
AU - Abdelzaher, Tarek
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/2
Y1 - 2015/10/2
N2 - The advent of social networks, mobile sensing, and the Internet of Things herald an age of data overload, where the amount of data generated and stored by various data services exceeds application consumption needs. In such an age, an increasingly important need of data clients will be one of data sub-sampling. This need calls for novel data dissemination protocols that allow clients to request from the network a representative sampling of data that matches a query. In this paper, we present the design of a new transport-layer dissemination protocol, called InfoMax, that allows applications to request such a data sampling. InfoMax exploits the recently proposed named-data-networking (NDN) stack that makes networks aware of hierarchical data names, as opposed to IP addresses. Assuming that named objects with longer prefixes are semantically more similar, InfoMax has the property of minimizing semantic redundancy among delivered data items, hence offering the best coverage of the requested topic with the fewest bytes. The paper discusses the design of InfoMax, its experimental evaluation, and example applications.
AB - The advent of social networks, mobile sensing, and the Internet of Things herald an age of data overload, where the amount of data generated and stored by various data services exceeds application consumption needs. In such an age, an increasingly important need of data clients will be one of data sub-sampling. This need calls for novel data dissemination protocols that allow clients to request from the network a representative sampling of data that matches a query. In this paper, we present the design of a new transport-layer dissemination protocol, called InfoMax, that allows applications to request such a data sampling. InfoMax exploits the recently proposed named-data-networking (NDN) stack that makes networks aware of hierarchical data names, as opposed to IP addresses. Assuming that named objects with longer prefixes are semantically more similar, InfoMax has the property of minimizing semantic redundancy among delivered data items, hence offering the best coverage of the requested topic with the fewest bytes. The paper discusses the design of InfoMax, its experimental evaluation, and example applications.
UR - http://www.scopus.com/inward/record.url?scp=84959387037&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959387037&partnerID=8YFLogxK
U2 - 10.1109/ICCCN.2015.7288420
DO - 10.1109/ICCCN.2015.7288420
M3 - Conference contribution
AN - SCOPUS:84959387037
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
BT - 24th International Conference on Computer Communications and Networks, ICCCN 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 August 2015 through 6 August 2015
ER -