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

Published: 12 December 2016 Publication History

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 efficiently requires managing the resources and directing user traffic 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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Cited By

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  • (2019)User Profile-based Caching in 5G Telco-CDNs2019 IEEE 8th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet47604.2019.9064113(1-6)Online publication date: Nov-2019
  • (2017)Grouping Computational Data in Resource Caches of Edge-Fog CloudProceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms10.1145/3069383.3069391(1-2)Online publication date: 23-Apr-2017

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cover image ACM Conferences
CAN '16: Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking
December 2016
80 pages
ISBN:9781450346733
DOI:10.1145/3010079
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 December 2016

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Author Tags

  1. edge caching
  2. grouping
  3. profiling
  4. user interest

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  • EU FP7 Marie Curie Actions project

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Cited By

View all
  • (2019)User Profile-based Caching in 5G Telco-CDNs2019 IEEE 8th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet47604.2019.9064113(1-6)Online publication date: Nov-2019
  • (2017)Grouping Computational Data in Resource Caches of Edge-Fog CloudProceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms10.1145/3069383.3069391(1-2)Online publication date: 23-Apr-2017

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