Latency-adaptive Positioning of Nano Data Centers for peer-to-peer communication based on clustering

Maiti, Ananda and Kist, Alexander A. and Maxwell, Andrew (2015) Latency-adaptive Positioning of Nano Data Centers for peer-to-peer communication based on clustering. In: 3rd Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA 2015) in conjunction with IEEE International Conference on Communications (IEEE ICC 2015): Smart City & Smart World, 8-12 June 2015, London, UK.

Abstract

A network topology based on Nano Data Centers (NDC) for an interactive collaborative system is discussed in this paper. The system operates over several nodes that differ in endpoint security and network access. Some nodes are prevented from initiating connections directly and require intermediate nodes to accept requests from third parties. The nodes also constitute a supporting content distribution network. In an interactive system, latency is an important factor in overall system performance. In the context of this paper, users are scattered over a large geographic area and connect to the system at their own convenience. Thus it is necessary to find optimal positions for NDC nodes such that relaying leads to minimal increases in response time for all users. In this paper, an extended hierarchical clustering algorithm is used to create a set of NDC locations across a geographic region. It generates a set of relay locations that can be used in P2P communication.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 23 Jun 2016 05:40
Last Modified: 23 Feb 2017 01:46
Uncontrolled Keywords: nano data centers; data clustering; distributed system; service overlay network; remote laboratories
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
08 Information and Computing Sciences > 0806 Information Systems > 080610 Information Systems Organisation
Identification Number or DOI: 10.1109/ICCW.2015.7247461
URI: http://eprints.usq.edu.au/id/eprint/27490

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