Q
Qiang Duan
Researcher at Pennsylvania State University
Publications - 93
Citations - 1820
Qiang Duan is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Cloud computing & Quality of service. The author has an hindex of 17, co-authored 93 publications receiving 1486 citations. Previous affiliations of Qiang Duan include Beijing University of Posts and Telecommunications & University of Central Arkansas.
Papers
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Journal ArticleDOI
A Survey on Service-Oriented Network Virtualization Toward Convergence of Networking and Cloud Computing
TL;DR: A framework of network-Cloud convergence based on service-oriented network virtualization based on SOA and a survey on key technologies for realizing NaaS are presented, mainly focusing on state of the art of network service description, discovery, and composition.
Journal ArticleDOI
A Novel Deployment Scheme for Green Internet of Things
TL;DR: The numerical results on minimal energy consumption and network lifetime of the system indicate that the deployment scheme proposed is more flexible and energy efficient compared to typical WSN deployment scheme; thus is applicable to the green IoT deployment.
Journal ArticleDOI
Software-defined network virtualization: an architectural framework for integrating SDN and NFV for service provisioning in future networks
TL;DR: This article presents an architectural framework called SDNV that offers a clear holistic vision of integrating key principles of both SDN and NFV into unified network architecture, and provides guidelines for synthesizing research efforts toward combining SDN-NFV in future networks.
Journal Article
Threat modeling using attack trees
TL;DR: This paper presents a practical, high-level guide to understand the concepts of threat modeling to students in an introductory level Security course or even a Managerial course and uses the concept of Attack Trees to this end.
Proceedings ArticleDOI
A K-means-based network partition algorithm for controller placement in software defined network
TL;DR: This paper investigates multi-controller placement problem from the perspective of latency minimization and demonstrates that the proposed algorithm can remarkably reduce the maximum latency between centroid and their nodes compared with the standard K-means.