Cooperative Caching in Social Wireless Network with Heterogeneous Content Demand
Wide popularity of wireless devices such as Android, iPhone, Windows Phone, and their data-enabled applications such as static content (e.g. Kindle book reader and iTune music, etc.) and streaming media (e.g. Netflix and Amazon Prime, etc.) have created many digital content ecosystems. A common requirement in those ecosystems is to be able to disseminate content in a manner that reduces the cost of cellular link usage. Traditionally, a user downloads content directly from a Content Provider's (CP) server in the core network via a Communication Service Provider (CSP) that involves a cost which must be paid either by End Consumers (ECs) or by the content provider. An alternative caching model for content download is to leverage human interaction and interest locality in emerging Social Wireless Networks (SWNETs) within various mobile ecosystems. When users physically gather in settings such as University campus, Mall, Airport and other public places, SWNETs can form using ad hoc wireless connections between their mobile devices. For downloading content such as an iTunes song, a device can first search within its SWNET for the requested content before downloading it from the CP's server. The expected provisioning cost in this approach can be lower since the download cost paid to the CSP would be avoided when the content is found within the SWNET. This is termed as cooperative caching. On the other hand, in order to provide a reasonable model for a baseline cooperative caching architecture, a common global popularity for content does not represent real scenarios in which content preferences usually vary significantly across different consumers or local areas. In this project, we attempt to develop cooperative caching structures that cater to such content preference heterogeneity and minimize the network-wide provisioning cost in various network scenarios. The Fig. 1 depicts a Heterogeneous Split Caching (HSC) algorithm that minimizes the overall provisioning cost in static fully-connected network and mobile network
This research involves: 1) developing optimal cooperative caching algorithms for static digital content in various network scenarios, 2) stochastic formulation of downloading and caching streaming content defined in various qualities, 3) designing caching algorithms that minimize the overall provisioning cost for streaming content in different networks, and finally 4) investigating system performance using Android based prototype Social Wireless Networks.
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. M. Taghizadeh and S. Biswas, Minimizing Content Provisioning Cost in Heterogeneous Social Wireless Networks, In proceedings of IEEE COMSNETS 2011, January 2011, Bangalore, India. (Best Paper Award)
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. M. Taghizadeh, F. Dion, and S. Biswas, A Generalized Framework for Integrated Vehicle Traffic and Wireless Network Simulation, In Proceedings of the 9thInternational Conference on Ad hoc and Wireless Networks (ADHOCNOW 2010), Springer-Verlag, Edmonton, Canada, August, 2010.
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