Energy-Aware Fair Call Admission Control Based on Dynamic Preemption Markov Decision Process in Traffic Groomed Optical Networks

  • 劉 俊究

Student thesis: Master's Thesis

Abstract

Traffic grooming technique is seen as a solution for the issue that the bandwidth requirement of connection request does not match with total capacity of single wacelength channel However capacity fainess issue is still existed in traffic groomed optical network One kind of the solutions for this issue is call admission control Nowday most of call admission control scheme are based on the following technique: static bandwidth reservation static threshold setting mathematical statics and markov decision process formulation Nevertheless there is still a tradeoff between fairness and throughput Therefore a shceme called Dynamic Preemption Call Admission Based on Markov Decision Process (DP-MDP) which accepts or rejects the admission of connection requests based on the optimal policy decided by markov decision process based on the bandwidth utilization of each available wavelength in single link was proposed to improve throughput performance while maintain fariness As the growing conscious of energy conservation it has become a trend for network hardware and telecom protocol to import energy efficiency consideration especially in wavelength division multiplexing (WDM) network The power-aware routing and wavelength assignment is able to reduce the energy consumption of infrastructure in WDM network Energy-aware DP-MDP (EA-DPMDP) determines the admission of connection requests according to optimal policymade by markov decision process based on the maximum throughput per energy consumption which maintains capacity fairness and the improvement of throughput while reduces energy consumption A bidirectional mesh-torus network topology is first taken for simulations to compare EA-DPMDP and none energy-aware DP-MDP of network throughput energy consumption and capacity fairness Simulation results show that EA-DPMDP reduces energy consumption while maintains capacity fairness Then EA-DPMDP as well as different routing and wavelength assignments (RWAs) such as RSB LUB and TATG are considered to show the effect on network throughput energy consumption and capacity fairness The results show EA-DPMDP effectively reduces network energy consumption as well as maintains capacity fainess Then EA-DPMDP with different RWAs is considered to show the effect on energy consumption and capacity fairness The results show that EA-DPMDP with different RWAs which has longer route length such as TATG brings better energy reservation at different system load but worse capacity fairness at low system load To confirm the effect of route length on EA-DPMDP different network topologies are also considered by EA-DPMDP to evaluate impact on fairness The results show the topology with shorter route lengths makes the decrement of blocking of high capacity requirement connection requests and brings worse capacity fainess at low system load Finally we evaluate EA-DPMDP with different arrival rate and total capacity of a wavelength in terms of network energy consumption and capacity fairness The result present that EA-DPMDP with high arrival rate leads to bad capacity fainess while EA-DPMDP high total capacity of a wavelength results in good capacity fairness
Date of Award2014 Aug 27
Original languageEnglish
SupervisorChuan-Ching Sue (Supervisor)

Cite this

Energy-Aware Fair Call Admission Control Based on Dynamic Preemption Markov Decision Process in Traffic Groomed Optical Networks
俊究, 劉. (Author). 2014 Aug 27

Student thesis: Master's Thesis