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On the Feasibility of Using Current Data Centre Infrastructure for Latency-sensitive Applications

Griffin, D; Phan, TK; Maini, E; Rio, M; Simoens, P; (2018) On the Feasibility of Using Current Data Centre Infrastructure for Latency-sensitive Applications. IEEE Transactions on Cloud Computing 10.1109/TCC.2018.2822271. (In press). Green open access

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Abstract

IEEE It has been claimed that the deployment of fog and edge computing infrastructure is a necessity to make high-performance cloud-based applications a possibility. However, there are a large number of middle-ground latency-sensitive applications such as online gaming, interactive photo editing and multimedia conferencing that require servers deployed closer to users than in globally centralised clouds but do not necessarily need the extreme low-latency provided by a new infrastructure of micro data centres located at the network edge, e.g. in base stations and ISP Points of Presence. In this paper we analyse a snapshot of today & #x0027;s data centres and the distribution of users around the globe and conclude that existing infrastructure provides a sufficiently distributed platform for middle-ground applications requiring a response time of < formula > < tex > $20-200\;ms$ < /tex > < /formula > . However, while placement and selection of edge servers for extreme low-latency applications is a relatively straightforward matter of choosing the closest, providing a high quality of experience for middle-ground latency applications that use the more widespread distribution of today & #x0027;s data centres, as we advocate in this paper, raises new management challenges to develop algorithms for optimising the placement of and the per-request selection between replicated service instances.

Type: Article
Title: On the Feasibility of Using Current Data Centre Infrastructure for Latency-sensitive Applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCC.2018.2822271
Publisher version: https://doi.org/10.1109/TCC.2018.2822271
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: Data centers, Cloud computing, Time factors, Data models, Edge computing, Servers, Extraterrestrial measurements
URI: http://discovery.ucl.ac.uk/id/eprint/10046771
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