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Qiang Duan

Publications and source records attributed to Qiang Duan.

20 records · Page 2Linked to original sources

End-to-End Service Delivery with QoS Guarantee in Software Defined Networks

Software-Defined Network (SDN) is expected to have a significant impact on future networking. Although exciting progress has been made toward realizing SDN, application of this new networking paradigm in the future Internet to support end-to-end QoS provisioning faces some new challenges. The autonomous network domains coexisting in the Internet and the diverse user applications deployed upon the Internet call for a uniform Service Delivery Platform (SDP) that enables high-level network abstraction and inter-domain collaboration for end-to-end service provisioning. However, the currently available SDN technologies lack effective mechanisms for supporting such a platform. In this paper, we first present a SDP framework that applies the Network-as-a-Service (NaaS) principle to provide network abstraction and orchestration for end-to-end service provisioning in SDN-based future Internet. Then we focus our study on two enabling technologies for such a SDP to achieve QoS guarantee; namely a network abstraction model and an end-to-end resource allocation scheme. Specifically we propose a general model for abstracting the service capabilities offered by network domains and develop a technique for determining the required amounts of bandwidth in network domains for end-to-end service delivery with QoS guarantee. Both the analytical and numerical results obtained in this paper indicate that the NaaS-based SDP not only simplifies SDN service and resource management but also enhances bandwidth utilization for end-to-end QoS provisioning.

cs.NI↗

A Novel Admission Control Model in Cloud Computing

With the rapid development of Cloud computing technologies and wide adopt of Cloud services and applications, QoS provisioning in Clouds becomes an important research topic. In this paper, we propose an admission control mechanism for Cloud computing. In particular we consider the high volume of simultaneous requests for Cloud services and develop admission control for aggregated traffic flows to address this challenge. By employ network calculus, we determine effective bandwidth for aggregate flow, which is used for making admission control decision. In order to improve network resource allocation while achieving Cloud service QoS, we investigate the relationship between effective bandwidth and equivalent capacity. We have also conducted extensive experiments to evaluate performance of the proposed admission control mechanism.

cs.NI↗