Latency-adaptive Positioning of Nano Data Centers for peer-to-peer communication based on clustering
Paper
Paper/Presentation Title | Latency-adaptive Positioning of Nano Data Centers for peer-to-peer communication based on clustering |
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Presentation Type | Paper |
Authors | Maiti, Ananda (Author), Kist, Alexander A. (Author) and Maxwell, Andrew (Author) |
Journal or Proceedings Title | Proceedings of the 3rd Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA 2015) in conjunction with IEEE International Conference on Communications (IEEE ICC 2015) |
ERA Conference ID | 42928 |
Number of Pages | 6 |
Year | 2015 |
Place of Publication | United States |
ISBN | 9781467363051 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICCW.2015.7247461 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/document/7247461/ |
Conference/Event | 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 |
IEEE International Conference on Communications | |
Event Details | IEEE International Conference on Communications ICC Rank B B B B B B B B B B B B B B B B B B B B B B B B |
Event Details | 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 Event Date 08 to end of 12 Jun 2015 Event Location London, United Kingdom |
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. |
Keywords | nano data centers; data clustering; distributedsystem; service overlay network; remote laboratories |
ANZSRC Field of Research 2020 | 460609. Networking and communications |
460908. Information systems organisation and management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Faculty of Health, Engineering and Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q304v/latency-adaptive-positioning-of-nano-data-centers-for-peer-to-peer-communication-based-on-clustering
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