Estimation of round trip time in distributed real time system architectures
Paper
Paper/Presentation Title | Estimation of round trip time in distributed real time system architectures |
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Presentation Type | Paper |
Authors | Maiti, Ananda (Author), Kist, Alexander A. (Author) and Maxwell, Andrew D. (Author) |
Editors | Gregory, Mark A. |
Journal or Proceedings Title | Proceedings of the Australasian Telecommunication Networks and Applications Conference (ATNAC 2013) |
ERA Conference ID | 50278 |
Number of Pages | 6 |
Year | 2013 |
Place of Publication | United States |
ISBN | 9781479910816 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ATNAC.2013.6705357 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/6705357 |
Conference/Event | Australasian Telecommunication Networks and Applications Conference (ATNAC 2013) |
Australasian Telecommunication Networks and Applications Conference | |
Event Details | Australasian Telecommunication Networks and Applications Conference (ATNAC 2013) Event Date 20 to end of 22 Nov 2013 Event Location Christchurch, New Zealand |
Event Details | Australasian Telecommunication Networks and Applications Conference ATNAC |
Abstract | Real-time distributed systems may sometimes utilize a centralized node to manage and coordinate the exchange of information resulting from network conditions, such as users being behind firewall or proxy servers. Identifying this node is crucial for successful operation of the entire distributed system. The geo-locational placement of this node may be determined based on certain network properties such as Round Trip Time (RTT). In this paper a real-time e-learning system - Remote Access Laboratories (RAL) are discussed with this regard. The RTT is an important factor of quality of experience (QoE) during the use of the activity and throughout obtaining results is an important aspect as to the success of a particular remote laboratory. In a distributed RAL environment, there may be multiple users who can be both learners (service users) and providers in an activity. As such, the equipment and corresponding learning materials are not concentrated at one location, but spread over multiple nodes. A method to determine the suitable node or relay based on population distribution in a geographic region and projected RTT based on distance between them is proposed here. A mathematical model and simulation data are presented to support the effectiveness of the method. The results are compared with Peer-to-Peer network model, which is optimal, to establish the difference in performance. |
Keywords | real time systems; networking; remote laboratories; distributed computing; probabilistic network |
ANZSRC Field of Research 2020 | 461206. Software architecture |
460609. Networking and communications | |
460605. Distributed systems and algorithms | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q24zq/estimation-of-round-trip-time-in-distributed-real-time-system-architectures
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