This paper addresses a fundamental limitation for the adoption of caching for wireless
access networks due to small population sizes. This shortcoming is due to two main …

This paper provides a comprehensive survey of content placement (CP) algorithms for cloud-
based content delivery networks (CCDNs). CP algorithms are essential for content delivery …

In this paper, we develop Gibbs sampling-based techniques for learning the optimal
placement of contents in a cellular network. We consider the situation where a finite …

We consider caching in cellular networks in which each base station is equipped with a
cache that can store a limited number of files. The popularity of the files is known and the …

We consider a centralized content delivery infrastructure where a large number of storage-
intensive files are replicated across several collocated servers. To achieve scalable mean …

CCN (Content-centric network) has emerged as a promising architecture for future 5G
network due to its in-network caching capability and receiver-driven content retrieval …

Video on Demand (VoD) services like Netflix and YouTube account for ever increasing
fractions of Internet traffic. It is estimated that this fraction will cross 80% in the next three …

In this paper, we consider the algorithmic task of content replication and request routing in a
distributed caching system consisting of a central server and a large number of caches, each …

We consider models of content delivery networks in which the servers are constrained by
two main resources: memory and bandwidth. In such systems, the throughput crucially …

We consider multiclass queueing systems where the per class service rates depend on the
network state, fairness criterion, and is constrained to be in a symmetric polymatroid capacity …