StormRider: harnessing "storm" for social networks

Vaibhav Khadilkar, Murat Kantarcioglu, Bhavani M. Thuraisingham

Abstract: The focus of online social media providers today has shifted from "content generation" towards finding effective methodologies for "content storage, retrieval and analysis" in the presence of evolving networks. Towards this end, in this paper we present StormRider, a framework that uses existing cloud computing and semantic web technologies to provide application programmers with automated support for these tasks, thereby allowing a richer assortment of use cases to be implemented on the underlying evolving social networks.