A protocol-independent technique for eliminating redundant network traffic
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Packet caches on routers: the implications of universal redundant traffic elimination
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Application acceleration and wan optimization fundamentals
Application acceleration and wan optimization fundamentals
Redundancy in network traffic: findings and implications
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
A Power Benchmarking Framework for Network Devices
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
SmartRE: an architecture for coordinated network-wide redundancy elimination
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Minimizing Routing Energy Consumption: From Theoretical to Practical Results
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Energy-aware IP traffic engineering with shortest path routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Recently, energy-aware routing has gained increasing popularity in the networking research community. The idea is that traffic demands are aggregated over a subset of the network links, allowing other links to be turned off to save energy. In this paper, we propose GreenRE - a new energy-aware routing model with the support of the new technique of data redundancy elimination (RE) . This technique, enabled within the routers, can identify and remove repeated content from network transfers. Hence, capacity of network links are virtually increased and more traffic demands can be aggregated. Based on our real experiments on Orange Labs platform, we show that performing RE consumes some energy. Thus, while preserving connectivity and QoS, it is important to identify at which routers to enable RE and which links to turn off so that the power consumption of the network is minimized. We model the problem as an Integer Linear Program and propose a greedy heuristic algorithm. Simulations on several network topologies show that GreenRE can gain further 30% of energy savings in comparison with the traditional energy-aware routing model.