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2011
Springer

Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows

8 years 2 months ago
Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows
Several important network applications cannot easily scale to higher data rates without requiring focusing just on the large traffic flows. Recent works have discussed algorithmic solutions that trade-off accuracy to gain efficiency for filtering and tracking the so-called “heavyhitters”. However, a major limit is that flows must initially go through a filtering process, making it impossible to track state associated with the first few packets of the flow. In this paper, we propose a different paradigm in tracking the large flows which overcomes this limit. We view the problem as that of managing a small flow cache with a finely tuned replacement policy that strives to avoid evicting the heavy-hitters. Our scheme starts from recorded traffic traces and uses Genetic Algorithms to evolve a replacement policy tailored for supporting seamless, stateful traffic-processing. We evaluate our scheme in terms of missed heavy-hitters: it performs close to the optimal, oracle-based ...
Martin Zádník, Marco Canini
Added 16 Sep 2011
Updated 16 Sep 2011
Type Journal
Year 2011
Where PAM
Authors Martin Zádník, Marco Canini
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