Paper Info
Title
Applied MMAS Algorithm to Optimal Resource Allocation to Support QoS Requirements in NGNs.
Abstract
In this paper, we proposed a novel Min-Max Ant System algorithm for dynamic resource allocation with many of service classes while maximizing the provider's utility in service-oriented networks. The model considers a pricing scheme for the offered services and the quality of service (QoS) requirements of each service class, which operates under a probabilistic delay bound constraint. The goal is to investigate how the utility function and the resource allocation respond to changes of various parameters given the QoS requirements of each service class. Our algorithm performance is evaluated through numerical studies and our solution is approximated the optimal solution. The computational results showed that this approach is currently among the best performing algorithms and much better than previous studies for this problem.
Year
DOI
Venue
2014
10.1007/978-3-319-18802-7_29
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering
Keywords
Field
DocType
Pricing model,Resource allocation,Quality of service,Next Generation Network,Min-max ant system
Mathematical optimization,Next-generation network,Computer science,Algorithm,Quality of service,Resource allocation,Probabilistic logic,Distributed computing
Conference
Volume
ISSN
Citations 
146
1867-8211
1
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Dac-Nhuong Le1125.01