美国纽约州立大学计算机科学系Keqin Li教授来校讲学通知

应计算机科学与技术学院张伟哲教授邀请,美国纽约州立大学计算机科学系Keqin Li教授于2016年1月13至1月20日来我校进行学术交流,访问期间将做如下学术报告:


题目: Power-Performance Tradeoff in a Federated Cloud


时间:2016年1月14日(星期四)10:20-11:00


地点:行政楼113室


报告内容:For multiple heterogeneous multicore server processors across clouds and data centers, the aggregated performance of the cloud of clouds can be optimized by load distribution and balancing. Energy efficiency is one of the most important issues for large-scale server systems in current and future data centers. The multicore processor technology provides new levels of performance and energy efficiency. Our investigation aims to develop power and performance constrained load distribution methods for cloud computing in current and future large-scale data centers. In particular, we address the problem of optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers. Our strategy is to formulate optimal power allocation and load distribution for multiple servers in a cloud of clouds as optimization problems, i.e., power constrained performance optimization and performance constrained power optimization. Our research problems in large-scale data centers are well defined multivariable optimization problems, which explore the power-performance tradeoff by fixing one factor and minimizing the other, from the perspective of optimal load distribution. It is clear that such power and performance optimization is important for a cloud computing provider to efficiently utilize all the available resources. We model a multicore server processor as a queueing system with multiple servers. Our optimization problems are solved for two different models of core speed, where one model assumes that a core runs at zero speed when it is idle, and the other model assumes that a core runs at a constant speed. Our results provide new theoretical insights into power management and performance optimization in data centers


欢迎我校相关专业的老师和同学参加。


报告人简介:
     Dr. Keqin Li is a SUNY Distinguished Professor of computer science in the State University of New York. He is also a Distinguished Professor of Chinese National Recruitment Program of Global Experts (1000 Plan) at Hunan University and National Supercomputing Center in Changsha, China. He was an Intellectual Ventures endowed visiting chair professor at the National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China, during 2011-2014. His current research interests include parallel computing and high-performance computing, distributed computing, energy-efficient computing and communication, heterogeneous computing systems, cloud computing, big data computing, CPU-GPU hybrid and cooperative computing, multicore computing, storage and file systems, wireless communication networks, sensor networks, peer-to-peer file sharing systems, mobile computing, service computing, Internet of things and cyber-physical systems. He has published over 380 journal articles, book chapters, and refereed conference papers, and has received several best paper awards. He is currently or has served on the editorial boards of IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, Journal of Parallel and Distributed Computing, International Journal of Parallel, Emergent and Distributed Systems, International Journal of High Performance Computing and Networking, Optimization Letters, and International Journal of Big Data Intelligence. He is an IEEE Fellow.


李克勤现为湖南大学信息科学与工程学院国家“千人计划”特聘教授、博士生导师、院学术委员会主席、超级计算与云计算研究所所长。他1985年毕业于清华大学,获计算机科学学士学位;1990年毕业于休斯顿大学,获计算机科学博士学位。之后受聘于纽约州立大学,历任助理教授、副教授、正教授;2009年晋升为纽约州立大学讲席教授;2011年被聘请为清华大学高智讲座教授;2012年受聘为中组部国家“千人计划”特聘教授。目前研究课题集中在并行计算与高性能计算、分布式计算、高能效计算和通信、异构计算系统、云计算、大数据计算、CPU-GPU混合协同计算、多核计算、存储和文件系统、无线通讯网络、传感器网络、对等文件共享系统、移动计算、服务计算、物联网和信息物理系统等。在学术著作、研究期刊、和国际会议上共发表论文380篇以上(其中IEEE Transactions论文近70篇)。他在网格网络的处理器分配和作业调度以及光网络上的并行计算方面的开创性研究具有广泛和深远的影响,为他带来了崇高的学术声誉。他曾多次荣获国际学术会议最佳论文奖。他多次担任国际学术会议主席,并且担任2016年在湖南召开的12届国际自然计算会议和13届国际模糊系统和知识发现会议的主席。他在“面向激光聚变模拟的大规模异构众核系统可扩展并行算法与优化方法”上主持国家自然科学基金委的重点项目,并且承担科技部863重大项目“高性能计算环境应用服务优化关键技术”和“基于内存计算的并行处理系统研究与开发”,同时在“大规模异构并行系统的高效能调度理论与方法”领域带领湖南省自然科学基金创新研究群体。他具有重大国际声誉和影响,在世界范围内有40个以上合作研究团队和超过310位合作研究人员。他是IEEE Trans. on Parallel and Distributed Systems, IEEE Trans. on Computers, IEEE Trans. on Cloud Computing, Journal of Parallel and Distributed Computing 等著名学术刊物的编委。他是IEEE Fellow。

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