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QoS multicast routing problem is a nonlinear combination optimization problem, which has been proved to be a NP complete problem. a hybrid algorithm with ant colony optimization algorithm(ACO) and particle a warm optimization algorithm(PSO) is presented. The ACO-GA algorithm absorbs the merits of ACO and GA respectively. In hybrid algorithm, the position update of PSO is used to regulate the solution...
This paper presents a new QoS multicast routing algorithm TPMA for MPLS-TE. The algorithm first modifies the evolution equation to improve standard PSO, and then utilizes TS technique to realize the balance of global and local search, further combines Fitness function to enhanced the global search ability, simultaneously considers other QoS parameters. The main objective of TPMA is to build a QoS...
Based on OFDM and Single Frequency Network architecture (SFN), DVB-T systems can combine signals coming from several transmitters yielding to a diversity gain. The network planning for such systems has a great impact to quality of service and costs. This paper presents a network planning approach for DVB-T services and focuses the investigation on the optimisation of the network deployment in terms...
Delivery of the required QoS in IP-over-DWDM networks would face uncertain environment capacity problems due to demand variations over different periods of network operation. Therefore, future demand uncertainties should be considered in planning DWDM transport backbones for capacity sensitive telecommunication applications with enhanced quality of service. This paper, presents a genetic algorithm...
With the development of Web service technology, applications constructed by Composite Web Service becoming possible, so the importance of optimization problems for QoS of Web Service composite are becoming increasingly evident. Genetic algorithm and ant colony algorithm are both belong to the global optimization methods of QoS. For ant colony algorithm easy to drop into the slow pace of convergence...
Routing of packets in networks requires that a path will be selected either dynamically while the packets are being forwarded, or statically (in advance) as in source routing from a source node to a destination. The genetic algorithms which has been applied to routing optimization problem is difficult because network is not a widely connectivity network. If we use traditional GA, it may generate some...
Due to the massive popularity and spread of internet and advent of many new multimedia applications like Video Conferencing etc, the issue of multicast routing with multiple quality of service (QoS) constraints becomes more important. For Example, in order to ensure smooth playback of multimedia data, a video conference require guarantee on both end to end delay and loss probability. Artificial Immune...
While a lot of Web Services are available nowadays, Quality-of-Service (QoS) becomes a crucial concern to distinguish alternatives from each other. QoS-based service composition aims to determining optimal combinations among exponential candidates with consideration of overall non-functional performance. In this paper, a multiple objectives optimization approach is proposed for the decision-making...
Anycast is a new type of communication service, and has been defined as a standard communication mode of the IPv6. With the more and more application need of anycast service, anycast routing problem (ARP) has recently become an important topic to study. An anycast routing algorithm based on genetic algorithm and particle swarm optimization is proposed in this paper. The algorithm overcomes the disadvantages...
An adaptive resource allocation scheme for QoS oriented OFDMA system, which schedules two different utility functions for the Real-time/Non Real-time traffic simultaneously, is proposed in this paper. Instead of partial consideration of uniform kinds of QoS, we introduce an updating ratio factor to schedule users of heterogeneous traffic. Due to the complex optimization objective, the general convex...
A cognitive radio (CR) network is a secondary network operating in the frequency band and geographical area of a primary network to which the spectrum is licensed. In this paper, we consider a primary broadcasting network consisting of a transmitter and a number of primary users (PUs). The secondary users (SUs) make opportunistic unlicensed spectrum access to communicate with their base station (BS)...
When disaster happens, it is necessary to employ efficient and accurate methods to select the best service from many service backed sites to control DR (Disaster Recovery) activities. Aim at the service deployment algorithm is not suit for MultiObjective DR of policy and target distinct. This paper presents a novel algorithm MOGOSD (MultiObjective Global Optimal Service Deployment) to resolve service...
With the popularity of Web services, a set of Web services with similar functions but different qualities can be found. Since services are often be composed through a service process model, the way to compose them affects the whole quality of the process model itself. In this paper, a quality optimization method for the service process model is proposed, which takes the structure of service process...
In this paper, we investigate the adaptive transmission in cognitive radio networks using genetic algorithms (GA), the relevant communication parameters are optimized in a dynamic wireless channel environment. Firstly, we give the variables representing the transmission parameters that can be controlled by the system, several objective functions in different layers must also be determined to define...
Planning (for example choosing most suitable services for self-configuration) is one important task in self-management for pervasive service computing, and can be reduced to the problem of multi-objective services selection with constraints. Genetic algorithms (GAs) are effective in solving such multi-objective optimization problems, and are one of the most successful computational intelligence approaches...
In service oriented application, value-added service is composed of some component services which are selected from candidate services. However, in the current service selection models, services in the composite service are independent from each other. In fact, there are relations (e.g. data interaction, condition dependency) between them. Both QoS and service relation should be regarded as criterions...
Under Cognitive radio (CR), the Quality of Service (QoS) suffers from many dimensions or metrics of communication quality for improving spectrum utilization. To investigate this issue, this paper develops a methodology based on the multiobjective optimization model with genetic algorithms (GAs). The influence of evolving a radio defined by a chromosome is identified. The Multiobjective Cognitive Radio...
Dynamic web service composition is a key technology for building the service-oriented, loose coupling and integrated applications. In a Web service composition system Web services can be selected and integrated to generate a workflow for the satisfaction of user functional requirements. Usually, for each task in the workflow a set of alternative Web services with similar functionality is available,...
To support high bandwidth with high mobility is the predominant objective of next-generation networks. As some networks such as UMTS (universal mobile telecommunication system) can offer a wide geographical coverage with relatively low data rate, while other networks such as WLAN (wireless local area network) can support much higher bandwidth at a local level, network selection is becoming one of...
An efficient scheduling algorithm can enhance the quality of service (QoS) provided by IEEE802.16e mobile WiMAX. In this paper, a cross-layer scheduling algorithm based on genetic algorithm (CLSAGA) under the network utility maximization (NUM) concept is proposed to allocate resources for each service flow. The real coded genetic algorithm is employed to solve NUM optimization problem. Adaptive modulation...
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