2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE) 477 On the Cache Performance of the Information Centric Network Suhaidi Hassan, Zeeshan Aziz and Kashif Nisar InterNetWorks Research Laboratory School of Computing, Universiti Utara Malaysia 06010 UUM Sintok, Malaysia suhaidi@uum.edu.my, zeeshan@internetworks.my, kashif@uum.edu.my Abstract—The current Internet model has proved more sustainable then the provisioned capacity at the time when the architecture was designed. The voluminous growth of traffic over the Internet has brought challenges for the exiting networking architecture. The information centric paradigm appears to offer efficient solution towards content dissemination model. It is a content-focused networking paradigm rather than host-to-host communication. Caching is one of the major components of information centric networks. This paper is intended to explore the impact of cache on critical attributes of networks. We have made a comparative analysis of in-network and edge network caching mechanism using network simulation. The results proved that in-network caching mechanism is far better than network edge caching with improved throughout, increase link capacity to avoid congestion. Index Terms— Information Centric Networking, Named Data Networking, Cache Performance. I. INTRODUCTION The proliferation of contents over the Internet was observed massively in the last decade. The design of current networking architecture was based on host-to-host communication. The basic exchange of contents in the network was considered while designing the Internet. Gradually the use of Internet augmented with the huge exchange of data. Multimedia traffic such as voice and video streaming are being accessed from users. Social networking increased the pictures and video sharing massively. Contents are expected to occupy much higher volume than the current growth [1]. According to [2], the major part of 96% of Internet traffic based on user generated contents. Research industry made efforts to find out the solution to cope with the voluminous growth of data over the Internet. Information Centric Network (ICN) [3] paradigm appeared as result of researchers’ contributions for efficient content distribution. The ICN is a named-based networking model which is more focus over contents rather than destinations. It also secures the contents itself instead of securing the communication links. In this model the contents are named based instead of IP addresses. Different ICN proposals appeared after the first ICN proposal as TRIAD [4]. The current proposals which are highly focused by the both research and academic industry are Domain-Oriented Networking Architecture (DONA) [5], Named Data Networking (NDN) [6], Content Centric Networking (CCN) [7], Publish Subscribe Internet Routing Paradigm (PSIRP) [8] and Network of Information (NetInf) [9]. In-network cache mechanism is the common feature among all ICN naming proposals. In-network is an end-to-end network caching system in which every router node is capable to cache contents. End-to-end network caching reduces the traffic across multiple hops. ICN caches the delivered content first and then for every repeat request user get the requested data from the first hop. The popular contents cache more than the least used content. Requests usually send across network for unpopular contents. In this paper, we have simulated a network scenario with cache at the network edge and end-to-end. We have made a comparative analysis for the performance of in-network over network edge caching system. The results show that in-network caching mechanism is much better then caching at the network edge. It gives more capacity to Wide Area Network (WAN) links, reduce congestion and avoid bottleneck which gives opportunities for real time and delay sensitive applications. The end-to-end network caching system allows applications to run efficiently in ameliorated traffic rate of traffic. The next section describes caching at the network edge and in-network modes of the networking architectures. Section 3 explains the methodology including simulation setup and analysis for different network performance parameters. Section 4 accentuates the simulation results. Section 5 discusses the implications and challenges in the industry for information centric network. Section 6 concludes the paper. II. NETWORK CACHE Today, the Internet is playing a significance role in human life. Users are able get information and their desirable contents by using download. Online services such as music and video streaming, webinars and interactive learning sessions are playing major roles in augmenting network traffic. With the increase in utilization of these services, the performance and capacity of WAN links are becoming over-utilized. This is deteriorating users' experience and degrading the services quality due to exchange of high volume traffic in fixed 978-1-4673-6232-0/13/$31.00 ©2013 IEEE brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by UUM Repository