This item is a Paper in the Performance, Scalability and Availability track.
- Erman, Jeffrey - AT&T Laboratories - Research
- Gerber, Alexandre - AT&T Laboratories - Research
- Hajiaghayi, Mohammad T. - AT&T Laboratories - Research
- Pei, Dan - AT&T Laboratories - Research
- Spatscheck, Oliver - AT&T Laboratories - Research
This paper proposes and evaluates a Network Aware Forward Caching approach for determining the optimal deployment strategy of forward caches to a network. A key advantage of this approach is that we can reduce the network costs associated with forward caching to maximize the beneﬁt obtained from their deployment. We show in our simulation that a 37% increase to net beneﬁts could be achieved over the standard method of full cache deployment to cache all POPs trafﬁc. In addition, we show that this maximal point occurs when only 68% of the total trafﬁc is cached. Another contribution of this paper is the analysis we use to motivate and evaluate this problem. We characterize the Internet trafﬁc of 100K subscribers of a US residential broadband provider. We use both layer 4 and layer 7 analysis to investigate the trafﬁc volumes of the ﬂows as well as study the general characteristics of the applications used. We show that HTTP is a dominant protocol and account for 68% of the total downstream trafﬁc and that 34% of that trafﬁc is multimedia. In addition, we show that multimedia content using HTTP exhibits a 83% annualized growth rate and other HTTP trafﬁc has a 53% growth rate versus the 26% over all annual growth rate of broadband trafﬁc. This shows that HTTP trafﬁc will become ever more dominent and increase the potential caching opportunities. Furthermore, we characterize the core backbone trafﬁc of this broadband provider to measure the distance travelled by content and trafﬁc. We ﬁnd that CDN trafﬁc is much more efﬁcient than P2P content and that there is large skew in the Air Miles between POP in a typical network. Our ﬁndings show that there are many opportunties in broadband provider networks to optimize how trafﬁc is delivered and cached.
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