Dynamic capacity adjustment for virtual-path based networks using neuro-dynamic programming
Item Usage Stats
Dynamic capacity adjustment is the process of updating the capacity reservation of a virtual path via signalling in the network. There are two important issues to be considered: bandwidth (resource) utilization and signaling traffic. Changing the capacity too frequently will lead to efficient usage of resources but has a disadvantage of increasing signaling traffic among the network elements. On the other hand, if the capacity is adjusted for the highest possible value and kept fixed for a long time period, a significant amount of bandwidth will be wasted when the actual traffic rate is small. We proposed two formulations for dynamic capacity adjustment problem. In the first formulation cost parameters are assigned for bandwidth usage and signalling, optimal solutions are reached for different values of these parameters. In the second formulation, our aim is to maximize the bandwidth efficiency with a given signaling requirement. In this formulation, a leaky bucket counter is used in order to regulate the signaling rate. We used dynamic programming and neuro-dynamic programming techniques and we applied our formulations for voice traffic scenario (voice over packet networks) and a general network architecture using flow-based Internet traffic modelling. In the Internet traffic modelling case, we tested two different control strategies: event-driven control and time-driven control. In event-driven control, capacity update epochs are selected to be the time instants of either a flow arrival or a flow departure. In time-driven control, decision epochs are selected to be the equidistant time instants and excessive amount of traffic that cannot be carried will be buffered.
KeywordsDynamic capacity adjustment
flow-based internet traffic modelling
leaky bucket counter
voice over packet networks
Showing items related by title, author, creator and subject.
Dynamic relationship between precious metals Sensoy, A. (2013)We use a relatively new approach to endogenously detect the volatility shifts in the returns of four major precious metals (gold, silver, platinum and palladium) from 1999 to 2013. We reveal that the turbulent year of 2008 ...
Reward-rate maximization in sequential identification under a stochastic deadline Dayanık, S.; Yu, A. J. (2013)Any intelligent system performing evidence-based decision making under time pressure must negotiate a speed-accuracy trade-off. In computer science and engineering, this is typically modeled as minimizing a Bayes-risk ...
Fizik tedavi egzersizlerinin giyilebilir hareket algılayıcıları işaretlerinden dinamik zaman bükmesiyle sezimi ve değerlendirilmesi Yurtman, Aras; Barshan, Billur (IEEE, 2014-04)Giyilebilir hareket algılayıcılarından kaydedilen sinyalleri işleyerek fizik tedavi egzersizlerini algılamak ve değerlendirmek için özerk bir sistem geliştirilmiştir. Bir fizik tedavi seansındaki bir ya da birden fazla ...