Estimation of round trip time in distributed real time system architectures

Maiti, Ananda and Kist, Alexander A. and Maxwell, Andrew D. (2013) Estimation of round trip time in distributed real time system architectures. In: Australasian Telecommunication Networks and Applications Conference (ATNAC 2013), 20-22 Nov 2013, Christchurch, New Zealand.

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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 by IEEE. Permanent restricted access to published Version due to copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 03 Mar 2014 02:30
Last Modified: 17 Dec 2014 03:34
Uncontrolled Keywords: real time systems; networking; remote laboratories; distributed computing; probabilistic network
Fields of Research : 08 Information and Computing Sciences > 0803 Computer Software > 080302 Computer System Architecture
08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
08 Information and Computing Sciences > 0805 Distributed Computing > 080501 Distributed and Grid Systems
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/ATNAC.2013.6705357
URI: http://eprints.usq.edu.au/id/eprint/24887

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