Many new multicast applications emerging from theInternet, such as TV over theInternet, Radio over the Internet, Video Streamingmulti-point, etc., need the followingresource requirements: bandwidth consumption,end-to-end delay, packet loss ratio,etc. It is therefore necessary to formulate aproposal to specify and provide for thesekinds of applications the resources necessary forthem to function well.In this thesis, we propose a multi-objective trafficengineering scheme using differentdistribution trees to multicast several flows. Inthis case, we are using the multipathapproach to every egress node to obtain the multitreeapproach and of this way tocreate several multicast tree. Moreover, our proposalsolves the traffic split ratio formultiple trees. The proposed approach can be appliedin Multiprotocol Label Switching(MPLS) networks by allowing explicit routes inmulticast events to be established.
Many new multicast applications emerging from theInternet, such as TV over theInternet, Radio over the Internet, Video Streamingmulti-point, etc., need the followingresource requirements: bandwidth consumption,end-to-end delay, packet loss ratio,etc. It is therefore necessary to formulate aproposal to specify and provide for thesekinds of applications the resources necessary forthem to function well.In this thesis, we propose a multi-objective trafficengineering scheme using differentdistribution trees to multicast several flows. Inthis case, we are using the multipathapproach to every egress node to obtain the multitreeapproach and of this way tocreate several multicast tree. Moreover, our proposalsolves the traffic split ratio formultiple trees. The proposed approach can be appliedin Multiprotocol Label Switching(MPLS) networks by allowing explicit routes inmulticast events to be established.
This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in...
Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization...
This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the...
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