Adaptive QoS Management for Mobile Cloud Services

The rapid growth of cloud computing and mobile Internet services has triggered the emergence of mobile cloud services. Among many challenges,QoS management is one of the crucial issues for mobile cloud services. However,existing works on QoS management for cloud computing can hardly fit well to the mobile environment. This paper presents a QoS management architecture and an adaptive management process that can predict,assess and ensure QoS of mobile cloud services. Furthermore,we propose an adaptive QoS management model based on Fuzzy Cognitive Maps ( FCM) ,which suitably represents the causal relationships among QoS related properties and cloud service modes. We evaluate the proposed solution and demonstrate its effectiveness and benefits based on simulation work.

Quantitative QoS Management Implement Mechanism in IP-DiffServ

In this paper, a quantitative QoS management implement mechanism in IP-DiffServ is presented. The approach has three merits： （1） it optimizes both the route selected for service class by traffic engineering in network layer and the service class selected for the user services by network plan in service layer, （2） it ensures quantitative QoS for the user service in DiffServ, （3） it achieves high resource utilization, and achieves better performance with less cost for the user service and selected route. Simulation has verified these merits.

A Cooperative QoS Management Scheme Based on DiffServ Network for Real-Time Service

In this paper,an improved scheme based on DiffServ network is proposed to provide a decentralized coopera-tive QoS management for real-time services'admission control and resources'monitoring.The proposed scheme consists of aQoS Control Server(QoSCS),a Service Management Server(SMS),a Network Management Server(NMS)and routersin the concerned management domain.When an application asks for a service with specific QoS requirements,a series ofcooperation are initiated among these components by means of a suit of signaling protocol.Once a service is admitted,itcan provide required QoS services more effectively than original DiffServ network.Monitoring per-flow states are movedfrom edge routers to the QoSCS server.The prototype implementation and experimental results show that this scheme canprovide enhanced manageability and scalability for providing per-flow management in such a distributed way.

A Feedback Control Mechanism of QoS Management for IP Telecommunication Network

In this paper a feedback control mechanism of Quality of Service （QoS） management is proposed. By measuring and monitoring the operational information of the IP telecommunication network, the feedback control-loops tune the network according to the trends of the traffic characteristics in order to gain a favorable network status. With theoretical analysis, it is concluded that the QoS o fan arbitrary k-class flow can be guaranteed when the capacity of the k-class traffic is not fully filled. Thus by distributing the bandwidth of the egress bottleneck link among the ingress links, the congestion can be relieved. Moreover, the capacity of each traffic class that shares the same link affects one another. Therefore, the feedback control also aims at adjusting the capacity proportion among the traffic classes. In order to realize the goals, three feedback control-loops are designed in the QoS management system. A CORBA-based implementation is deployed on the testbed .

A MULTI-AGENT SYSTEM FOR MANAGING THE QUALITY OF SERVICE IN TELECOMMUNICATIONS NETWORKS

In this paper we propose X-MAQoS, a novel XML-based multi-agent system for the QoS management in telecommunications networks. This system is characterized by the following features: (i) it handles a user profile and exploits it jointly with suitable network resource management techniques to maximize user satisfaction; (ii) it is capable of operating in a large variety of telecommunications networks; (iii) it is semi-automatic; (iv) it exploits XML for guaranteeing a light, versatile and standard mechanism for information representation, storing and exchange. In this paper the basic features of the system are discussed in details. Furthermore, the main results of a performance evaluation study in UMTS environment, aiming at comparing X-MAQoS with alternative agent-based approaches for handling user access to telecommunications networks, are reported.