Load distribution with queuing delay bound over multipath networks: Rate control using stochastic delay prediction
Document Type
Conference Proceeding
Publication Date
12-1-2008
Abstract
Network connections established via multiple paths are becoming more eminent; efficient utilization of network resources provided by multiple interfaces, e.g., network gateways equipped with International Mobile Telecommunications-Advanced (IMT-Advanced) technologies or enabled with multipath routing, is necessary for next generation networks. In reality, both wired and wireless links are sometimes over-provisioned in which some are utilized while others are reserved for backup. One of the key issues in our study is to investigate how these interfaces can be used simultaneously for transmitting real time traffic with a short delay. Optimally distributing network traffic over multiple paths connected between source and destination gateways is the main purpose of this research. Our proposed model takes into account of both propagation delay and bandwidth for determining the optimal path. If there are paths with different propagation delays between a source and a destination, the path with a larger propagation delay will likely be assigned with a lower precedence. For input traffic, the splitting ratios are optimally adjusted in order to minimize the maximum path delay. We then show that the delay controlled load distribution model can optimally utilize the path with different path parameters in minimizing the maximum path delay. Copyright © 2008 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
Identifier
77958494131 (Scopus)
ISBN
[9781563479410]
Publication Title
26th AIAA International Communications Satellite Systems Conference Icssc
Recommended Citation
Prabhavat, Sumet; Nishiyama, Hiroki; Nemoto, Yoshiaki; Kato, Nei; and Ansari, Nirwan, "Load distribution with queuing delay bound over multipath networks: Rate control using stochastic delay prediction" (2008). Faculty Publications. 12528.
https://digitalcommons.njit.edu/fac_pubs/12528
