Spring 2016 Colloquium Computer and Information Sciences, Jan 25, 2016, 11:00AM - 12:00PM, SERC 306
Optimizing I/O Virtualization in Data Centers
Dr. Ron C. Chiang , University of St. Thomas
Large-scale data centers leverage virtualization technology to achieve excellent resource utilization, scalability, and high availability. Ideally, the performance of an application running inside a virtual machine (VM) shall be independent of co-located applications and VMs that share the physical machine. However, adverse interference effects exist and are especially severe for data-intensive applications in such virtualized environments. This talk presents that I/O virtualization overheads and architectures in cloud computing environments are very critical, and demonstrates effective novel approaches which successfully advance the state of the art. Three projects are specifically covered in this talk: The project TRACON constructs mathematical models and scheduling algorithms to mitigate the interference problem; the project Matrix leverages machine learning and optimization techniques to realize the ``equivalence'' property of virtualization with the best cost-efficiency; the project IOrchestra creates a collaborative virtualization system by bridging the semantic gaps among I/O stacks and domains. Numerous possibilities to thrust the I/O virtualization and cloud computing technology will also be discussed.
Dr. Ron C. Chiang is an Assistant Professor at the University of St. Thomas. He received a Ph.D. from the George Washington University in 2014 (Advisor: Prof. H. Howie Huang). He interned at the AT&T Labs-Research in 2013. His passion is to tackle complex computer system problems with creative designs in algorithms and architectures. At a high level, his research interest is in the general areas of Computer Systems and Data Analytics, including Cloud Computing, Big Data, High-Performance Computing, Embedded, and Storage Systems. Dr. Chiang's research won a Best Student Paper Award Finalist at SC'11 and the Best of HotPower'11. His Mobile and Cloud Computing course is awarded grants by Amazon and IBM.