Analysis of web caching architectures: hierarchical and distributed caching
IEEE/ACM Transactions on Networking (TON)
Coordinated En-Route Web Caching
IEEE Transactions on Computers
BRITE: An Approach to Universal Topology Generation
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Mathematical Programming: Series A and B
Drafting behind Akamai (travelocity-based detouring)
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Should internet service providers fear peer-assisted content distribution?
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Democratizing content publication with coral
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
A hierarchical internet object cache
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
OpenFlow: enabling innovation in campus networks
ACM SIGCOMM Computer Communication Review
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Proceedings of the 5th international conference on Emerging networking experiments and technologies
PrimoGENI: Integrating Real-Time Network Simulation and Emulation in GENI
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
Distributed caching with centralized control
Computer Communications
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We propose an in-network caching architecture using Open-Flow to coordinate caching decisions in the network. Our scheme, called CacheFlow, extends the cache-and-forward concept by moving contents closer to the clients hop-by-hop using TCP for sending requests and retrieving contents. As such, CacheFlow can be incrementally implemented and deployed in the real network. In this paper, we present a simulation study of several caching policies, including a random cache policy, a statically optimal cache placement policy and a new disk placement strategy that places popular contents at the "center" of the network. Experimental results show that simple in-network caching policies can be realized using today's technology to improve network performance.