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Algorithm for efficient generation of link-state updates in ATM networks
Affiliation:1. Centre for Midwifery, Maternal and Perinatal Health, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, UK;2. Department of Health Services Research, University of Liverpool, Liverpool, UK;3. School of Nursing and Allied Health, Liverpool John Moores University, Liverpool, UK;4. Department Health Care, Knowledge Centre Brussels Integrated Care, Erasmus Brussels University of Applied Sciences and Arts, Brussels, Belgium;5. Faculty of Medicine and Pharmacy, Department of Public Health, Biostatistics and Medical Informatics Research group, Vrije Universiteit Brussel (VUB), Brussels, Belgium
Abstract:In the routing framework defined by the ATM Forum Private Network Node Interface (P-NNI) working group, each node broadcasts link-state update (LSU) messages (which include information such as available bandwidth, maximum delay, etc.) about the outgoing links attached to it to other nodes in the network. For each connection request, the source node selects an end-to-end route that meets the quality of service (QoS) requirements of the connection based on the most recent information that it has about network links. Up-to-date information about network links is, therefore, key to making “good” routing decisions. The triggering of LSU broadcasts after adding or removing a single connection on any link would certainly enable optimal paths to be calculated but at a potentially significant cost in processing and bandwidth. A periodic update scheme, on the other hand, might be more preferable since it can be used to bound the frequency of updates at the expense of delaying important updates (such as those reporting large changes in link load). The goal of an efficient LSU generating algorithm is, therefore, to provide “accurate” information on link loads while keeping the number of LSUs under control. In this paper, we investigate the issue of when to broadcast LSUs and its effects to the network performance. A simulation model is built to model the basic routing framework developed at the ATM Forum P-NNI working group. Based on the intuition gained by running the simulation model with different schemes and parameters, a hybrid LSU generating algorithm, combining event-driven and periodic update strategies, is proposed to substantially reduce the number of LSUs generated in the network without a significant negative impact on the network performance. The proposed algorithm is not limited to the P-NNI framework and it can be used in networking technologies that are based on the link-state principles.
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