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Maximum Elastic Scheduling Based on the Hose Model
浏览次数:日期:2019-10-14编辑:信科院 科研办

报告人Prof. Jie Wu, Temple University  美国天普大学吴杰教授

报告时间:2019年11月18上午9:30-10:30

报告地点软件大楼220会议室

 

报告摘要

Resource allocation is important design issue in the cloud-based data center network (DCN) in maximizing its efficiency. We consider provisioning the maximum admissible load (MAL) of virtual machines (VMs) in physical machines (PMs) in the tree-based DCN using the hose model for communication. The limitation of static load distribution is that it assigns tasks to nodes in a once-and-for-all manner, and thus, requires a priori knowledge of program behavior. To avoid load redistribution during a run time where the load grows, we introduce maximum elasticity scheduling, which has the maximum growth potential subject to the node and link capacities. Given a tree-based DCN, we aim to find the schedule with the maximum elasticity across both nodes and links. We have found a distributed linear solution based on message passing, and we discussed several extensions. Various simulations and test-bed experiments have been conducted using the proposed elastic scheduling.

报告人简介

Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He also serves as the Director of International Affairs at College of Science and Technology. He served as Chair of Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications. Dr. Wu regularly publishes in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Mobile Computing, IEEE Transactions on Service Computing, Journal of Parallel and Distributed Computing, and Journal of Computer Science and Technology. Dr. Wu was general co-chair for IEEE MASS 2006, IEEE IPDPS 2008, IEEE ICDCS 2013, ACM MobiHoc 2014, ICPP 2016, and IEEE CNS 2016, as well as program co-chair for IEEE INFOCOM 2011 and CCF CNCC 2013. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award.