Dr. Neal Xiong

Dependable cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing networks may be virtualized with specific servers which host abstracted details. Some of the servers are active and available, while others are busy or heavy loaded, and the remaining are offline for various reasons. Users would expect the right and available servers to complete their application requirements. Therefore, in order to provide an effective control scheme with parameter guidance for cloud resource services, failure detection is essential to meet users' service expectations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most existing Failure Detector (FD) schemes do not automatically adjust their detection service parameters for the dynamic network conditions, thus they couldn't be used for actual application. 

This presentation explores FD properties with relation to the actual and automatic fault-tolerant cloud computing networks, and proposes three general analysis

methods to satisfy user requirements. Based on these general methods, we propose some special and dynamic Failure Detector, as a major breakthrough in the existing schemes. We carry out actual and extensive experiments to compare the quality of service performance between our FDs and several other existing FDs. Our experimental results demonstrate that our scheme can adjust FD control parameters to obtain better services.  Such FDs are adjusted in IBM cloud computing platform, and hope to be extensively applied to industrial and commercial usage.

Biography:

About the Speaker:

• Neal N. Xiong (S’05–M’08–SM’12) received his both PhD degrees in Wuhan University (2007, about Software system engineering), and Japan Advanced Institute of Science and Technology (2008, about dependable communication networks), respectively. Before he attended Southern New Hampshire University, he worked in Georgia State University, Northeastern State University, and Colorado Technical University (full professor about 5 years) about 17 years. His research interests include Cloud Computing, Security and Dependability Service, Parallel and Distributed Computing, Networks Service, and Optimization Theory.

    Dr. Xiong published over 300 IEEE journal papers and over 100 international conference papers. Some of his works were published in IEEE JSAC, IEEE or ACM transactions, ACM Sigcomm workshop, IEEE INFOCOM, ICDCS, and IPDPS. He has been a General Chair, Program Chair, Publicity Chair, Program Committee member and Organizing Committee member of over 100 international conferences, and as a reviewer of about 100 international journals, including IEEE JSAC, IEEE SMC (Park: A/B/C), IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, IEEE Trans. on Parallel and Distributed Systems. He is serving as an Editor-in-Chief, Associate editor or Editor member for over 10 international journals (including Associate Editor for IEEE Tran. on Industrial Applications; IEEE Tran. on Systems, Man & Cybernetics: Systems; IEEE Tran. on Network Science and Engineering; and Information Science. Editor-in-Chief for Journal of Internet Technology (JIT), and Journal of Parallel & Cloud Computing (PCC)), and a guest editor for over 10 international journals, including Sensor Journal, WINET and MONET. He has received the Best Paper Award in the 10th IEEE International Conference on High Performance Computing and Communications (HPCC-08) and the Best student Paper Award in the 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS2009). Dr. Xiong is the Chair of “Trusted Cloud Computing” Task Force, IEEE Computational Intelligence Society (CIS), "http://www.cs.gsu.edu/~cscnxx/index-TF.html", and the Industry System Applications Technical Committee, "http://ieee-cis.org/technical/isatc/"; He is a Senior member of IEEE Computer Society from 2012, E-mail: xiongnaixue@gmail.com; dnxiong@ieee.org.