Wednesday, October 8, 2008
My master's research accepted for publication in TON
This paper is pretty much the jist of my master's research at Simon Fraser University, Canada. It has been accepted for publication ni the very prestigious IEEE/ACM Transactions on Networking. It is an extended version of a conference paper in ICNP. Here is the abstract and a link to it:
Abstract:
Abstract—Peer-to-peer (P2P) file sharing systems generate a
major portion of the Internet traffic, and this portion is expected
to increase in the future. We explore the potential of deploying
proxy caches in different Autonomous Systems (ASes) with the
goal of reducing the cost incurred by Internet service providers
and alleviating the load on the Internet backbone. We conduct an
eight-month measurement study to analyze the P2P traffic characteristics
that are relevant to caching, such as object popularity,
popularity dynamics, and object size. Our study shows that the
popularity of P2P objects can be modeled by a Mandelbrot–Zipf
distribution, and that several workloads exist in P2P traffic.
Guided by our findings, we develop a novel caching algorithm
for P2P traffic that is based on object segmentation, and proportional
partial admission and eviction of objects. Our trace-based
simulations show that with a relatively small cache size, a byte
hit rate of up to 35% can be achieved by our algorithm, which is
close to the byte hit rate achieved by an off-line optimal algorithm
with complete knowledge of future requests. Our results also show
that our algorithm achieves a byte hit rate that is at least 40%
more, and at most triple, the byte hit rate of the common web
caching algorithms. Furthermore, our algorithm is robust in face
of aborted downloads, which is a common case in P2P systems
Link to the paper
Abstract:
Abstract—Peer-to-peer (P2P) file sharing systems generate a
major portion of the Internet traffic, and this portion is expected
to increase in the future. We explore the potential of deploying
proxy caches in different Autonomous Systems (ASes) with the
goal of reducing the cost incurred by Internet service providers
and alleviating the load on the Internet backbone. We conduct an
eight-month measurement study to analyze the P2P traffic characteristics
that are relevant to caching, such as object popularity,
popularity dynamics, and object size. Our study shows that the
popularity of P2P objects can be modeled by a Mandelbrot–Zipf
distribution, and that several workloads exist in P2P traffic.
Guided by our findings, we develop a novel caching algorithm
for P2P traffic that is based on object segmentation, and proportional
partial admission and eviction of objects. Our trace-based
simulations show that with a relatively small cache size, a byte
hit rate of up to 35% can be achieved by our algorithm, which is
close to the byte hit rate achieved by an off-line optimal algorithm
with complete knowledge of future requests. Our results also show
that our algorithm achieves a byte hit rate that is at least 40%
more, and at most triple, the byte hit rate of the common web
caching algorithms. Furthermore, our algorithm is robust in face
of aborted downloads, which is a common case in P2P systems
Link to the paper
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