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CacheMAsT: Cache Management Analysis and Visualization Tool

Tuncer, D; Sherborne, T; Charalambides, M; Pavlou, G; (2017) CacheMAsT: Cache Management Analysis and Visualization Tool. In: Prosper, Chemouil and Edmundo, Monteiro, (eds.) Proceedings of IFIP/IEEE International Symposium on Integrated Network Management - 2017. (pp. pp. 875-876). IEEE: Lisbon, Portugal. Green open access

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Abstract

Recent approaches have proposed to empower Internet Service Providers (ISPs) with caching capabilities that can allow them to implement their own cache management strategies and as such have better control over the utilization of their resources. In this demo paper, we present CacheMAsT (Cache Management Analysis and Visualization Tool), a decision support tool to visualize the configuration and performance of in-network cache management approaches. CacheMAsT is aimed at assisting researchers and engineers in analyzing and evaluating the different factors that can affect the performance of a cache management strategy and ultimately decide on the optimal approach to apply.

Type: Proceedings paper
Title: CacheMAsT: Cache Management Analysis and Visualization Tool
Event: IFIP/IEEE International Symposium on Integrated Network Management - 2017
ISBN-13: 9783901882890
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/INM.2017.7987391
Publisher version: http://doi.org/10.23919/INM.2017.7987391
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Tools, Measurement, Visualization, Graphical user interfaces, System analysis and design, Network topology
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/10044488
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