A protocol-independent technique for eliminating redundant network traffic
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
A low-bandwidth network file system
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Packet caches on routers: the implications of universal redundant traffic elimination
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
EndRE: an end-system redundancy elimination service for enterprises
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Wide-area network acceleration for the developing world
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
Profiling users in a 3g network using hourglass co-clustering
Proceedings of the sixteenth annual international conference on Mobile computing and networking
The effect of packet loss on redundancy elimination in cellular wireless networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
The power of prediction: cloud bandwidth and cost reduction
Proceedings of the ACM SIGCOMM 2011 conference
Relay-based deployment concepts for wireless and mobile broadband radio
IEEE Communications Magazine
IEEE Communications Magazine
Asymmetric caching: improved network deduplication for mobile devices
Proceedings of the 18th annual international conference on Mobile computing and networking
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In this paper we present Celleration, a novel gateway-to-mobile Traffic Redundancy Elimination (TRE) system, designed for the new generation of data-intensive cellular networks. Cellular TRE needs to account for the mobile device's limited battery power and the characteristics of the cellular network such as users' mobility, high packet-loss and long round-trip delays. Celleration is based on a novel TRE technique, in which the cellular gateway observes the forwarded chunks to identify the beginning of a previously observed chunk chain, which in turn is used as a reliable predictor to multiple future chunks. These predictions establish an ad-hoc gateway-to-mobile TRE learning mechanism that leverages the gateway's history records and the user mobile device's cached content for an efficient TRE operation for both the backhaul and the wireless last-mile. We present a data analysis of captured cellular traffic from 130 cellular sites and a long-term study of a social network. Finally, we analyze Celleration redundancy elimination and performance under high packet loss.