【学术报告】Cloud Computing: Challenges and Opportunities

发稿时间:2009-12-27浏览次数:1680

题目: Cloud Computing: Challenges and Opportunities

报告人: Cheng-Zhong Xu,Wayne State University, Detroit, USA

时间: Dec. 28th, 2009, 14:30~13:30,

地点:Meng Minwei Building 109

摘要:Cloud computing, unlocked by virtualization, is emerging as an increasingly important service-oriented computing paradigm. Management is key to providing accurate service availability and performance data and to enabling on-demand real-time capacity planning to meet service demands dynamically. This is because virtualization does not reduce the complexity of a system. In fact, having multiple virtual machines (VMs) running on top of a shared physical computing infrastructure increases the overall system complexity and poses new challenges in systems management. Optimizing one component may compromise the others, leading to overall performance degradation. Frequent component failures here and there would even cause low system productivity.

This talk will start with an introduction to cloud computing and a review of challenge issues in the management of large scale cloud systems. Emergent feedback control and machine learning approaches will be presented for tackling the challenges of scale and complexity in current and future cloud systems.

Biographical Sketch of the Speaker:

Dr. Cheng-Zhong Xu is a Professor in the Department of Electrical and Computer Engineering of Wayne State University, the Director of the Laboratory for Cloud and Internet Computing, and the Director of Sun's Center of Excellence in Open Source Computing and Applications (SUN OSCA).  He received B.S. and M.S. degrees in Computer Science from Nanjing University and a Ph.D. from the University of Hong Kong in 1993. Dr. Xu's research interest includes resource management in distributed and parallel systems, cloud and Internet computing, and high performance cluster computing.  He has published extensively in these areas. He was a main inventor and promoter of diffusive load balancing algorithms in parallel computing, and a key innovator of model-predictive feedback control and reinforcement learning-based systems management approaches for the provisioning of high service availability of Internet servers and datacenters. Dr. Xu was the leading author of the book "Load Balancing in Parallel Computers" (Kluwer Academic/Springer Verlag, 1995). It was arguably the first that addressed the load balancing issue systematically. His recent book "Scalable and Secure Internet Services and Architecture" (Chapman & Hall/CRC Press, 2005) provided an in-depth analysis of the Internet services in a unified framework from the performance perspective.

Dr. Xu is an editor of a number of leading journals in his areas, including IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing. He is a recipient of "Faculty Research Award" of Wayne State University in 2000, President's Award for Excellence in Teaching in 2002, and Career Development Chair Award in 2003.