On the effects of caching in access aggregation networks

Abstract

All forecasts of Internet traffic point at a substantial growth over the next few years. From a network operator perspective, efficient in-network caching of data is and will be a key component in trying to cope with and profit from this increasing demand. One problem, however, is to evaluate the performance of different caching policies as the number of available data items as well as the distribution networks grows very large.In this work, we develop an analytical model of an aggregation access network receiving a continuous flow of requests from external clients. We provide exact analytical solutions for cache hit rates, data availability and more. This enables us to provide guidelines and rules of thumb for operators and Information-Centric Network designers.Finally, we apply our analytical results to a real VoD trace from a network operator and show that substantial bandwidth savings can be expected when using in-network caching in a realistic setting.

Performance of probabilistic caching and cache replacement policies for Content-Centric Networks

“…In previous studies of cache replacement policies, LRU and LFU were commonly considered, whereas other replacement policies were left out of the scope of interest [12], [13], [14]. Carofiglio et al [12] explored the impact of storage management on the performance of multiple applications that concurrently share the same content-centric network.…”

“…They observed that the performance of LFU is superior to that of LRU in terms of the diversity of content cached in a network. Ardelius et al [13] provided analytical solutions for the cache hit rate and data availability of an aggregation access network. Nevertheless, only a universal caching scheme was considered in their analytical models which cannot explain the behavior of a probabilistic caching scheme.…”

A study of user-assisted content distribution performance in named data networking

“…Equation (5) means that the user-assisted content distribution performance would be mainly affected by the efficiency of in-network caching and multicast as well as the user upload throughput.…”

“…Therefore, in this paper, we skip to discuss the modeling of the in-network caching while guiding readers to representative work [5], [6], [7]. They commonly show that the in-network cache hit ratio is affected by the in-network cache size, the number of contents being requested, content request popularity, and so on.…”

A selective caching scheme based on request history in content-centric networks

“…However, if the number of forwarded chunks exceeds the CS capacity, the frequent cache updates of CS will decrease how much information can be used from stored chunks [3]. These schemes may thus degrade the CS utilization efficiency since they cannot determine which chunks should be stored.…”