Energy efficient content distribution

Abstract

Abstract-To optimize energy efficiency in network, operators try to switch off as many network devices as possible. Recently, there is a trend to introduce content caches as an inherent capacity of network equipment, with the objective of improving the efficiency of content distribution and reducing network congestion. In this work, we study the impact of using in-network caches and content delivery network (CDN) cooperation on an energy-efficient routing. We formulate this problem as Energy Efficient Content Distribution. The objective is to find a feasible routing, so that the total energy consumption of the network is minimized subject to satisfying all the demands and link capacity. We exhibit the range of parameters (size of caches, popularity of content, demand intensity, etc.) for which caches are useful. Experimental results show that by placing a cache on each backbone router to store the most popular content, along with well choosing the best content provider server for each demand to a CDN, we can save a total up to 23% of power in the backbone, while 16% can be gained solely thanks to caches.

A recursive estimation of network state for improving probabilistic caching

“…Provided that degree of node activity and popularity of data are given by and , respectively, the expected distance will be rewritten as (2) where is the expected distance that node-requires for obtaining data-, expressed by…”

“…In communication networks, there is a trend to introduce content caches as an inherent capacity of network device, such as routers, for improving the efficiency of content distribution and reducing network traffic [2] [3]. The key idea behind this trend is discussed in terms of ICN (InformationCentric Networking) [4] [5], CDNs (Content Delivery Networks) and P2P overlay networks [5] [6], and wireless P2P networks including ad hoc and mesh networks [7] [8].…”

Distributed Energy Consumption Management in Green Content-Centric Networks via Dual Decomposition

“…The corresponding Lagrangian can be written as (5), shown at the bottom of the page. In (5) D(ξ, μ, ν, ω) as follows: y, f , ξ, μ, ν, ω).…”

“…Recently, energy efficiency of operating an Internet-scale system has been a growing concern due to the increasing energy costs [5], [6]. It is reported that the information and communication technology sector is responsible for up to 10% of global energy consumption, and 51% of that is attributed to telecommunication infrastructure and data centers [7].…”

“…Then, the authors of [6] design an optimal offline algorithm and an online algorithm to extract energy savings both at the level of local load balancing within a data center and global load balancing across data centers. Moreover, Araujo et al [5] study the impact of using in-network caches and CDN cooperation on an energy-efficient routing. They formulate this problem as energy-efficient content distribution and propose an integer linear program and an efficient heuristic algorithm to solve it.…”