Profiling and Grouping Users to Edge Resources According to User Interest Similarity

12.12.2016
New publication: Pengyuan Zhou, Jussi Kangasharju, Profiling and Grouping Users to Edge Resources According to User Interest Similarity, in ACM CoNEXT Workshop on Cloud Assisted Networking, December 2016.

Title: Profiling and Grouping Users to Edge Resources According to User Interest Similarity

Abstract: Cloud computing provides a shared pool of resources for large-scale distributed applications. Recent trends such as fog computing and edge computing spread the workload of clouds closer towards the edge of the network and the users. Exploiting the edge resources e ciently requires managing the resources and directing user tra c to the correct edge servers. In this paper we propose to profile and group users according to their interest profiles. We consider edge caching as an example and through our evaluation show the potential benefits of directing users from the same group to the same caches. We investigate a range of workloads and parameters and the same conclusions apply. Our results highlight the importance of grouping users and demonstrate the potential benefits of this approach. 

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