12月14日:Meikang Qiu
发布时间:2018-12-12  阅读次数:1119

报告题目:Smart Data Allocation for Heterogeneous Memory in IoT
报告人:    Prof.Meikang Qiu  Columbia University, USA;Chair of IEEE Smart Computing STC
主持人:    陈铭松 教授
报告时间:12月14日 周五10:00-11:00
报告地点:中北校区数学馆201

 

 

报告摘要:
In IoT applications, heterogeneous memory is an emerging concept that uses multiple kinds of memories to balance the contradictions between the performance and cost. Many prior researches have addressed the heterogeneous memory designs, which attracted both researchers and practitioners. However, the main challenge in memory design is that the moving costs between memories cannot be ignored, such that forming an effective data allocation plan is a critical part for reducing total costs. This paper focuses on this issue and proposes an adaptive energy-aware approach that is designed for efficiently generating adaptive data allocation plans in heterogeneous memories for IoT applications. Two crucial variables are considered the condition constraints, including time and energy consumptions. The proposed method is called Smart Data Allocation Model (SDAM), which is supported by our algorithm, Smart Switch Allocation Algorithm (SA2). The experimental results have depicted that our approach is superior to prior developed methods.

 

报告人简介:
Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, he is affiliated with Columbia University. He is an IEEE Senior member and ACM Senior member. He is the Chair of IEEE Smart Computing Technical Committee.  His research interests include Embedded systems, IoT, Cyber Security, Big Data Analysis, Cloud Computing, Smarting Computing, Intelligent Data, etc. A lot of novel results have been produced and most of them have already been reported to research community through high-quality journal and conference papers. He has published 4 books, 400 peer-reviewed journal and conference papers (including 200+ journal articles, 200+ conference papers, 70+ IEEE/ACM Transactions papers). His paper published in IEEE Transactions on Computers about privacy protection for smart phones has been selected as a Highly Cited Paper in 2017. His paper about embedded system security published in Journal of Computer and System Science (Elsevier) have been recognized as Highly Cited Papers in both 2016 and 2017. His paper about data allocation for hybrid memory has been published in IEEE Transactions on Computers has been selected as hot paper (1 in 1000 papers) in 2017. His paper on Tele-health system has won IEEE System Journal 2018 Best Paper Award. He also won ACM Transactions on Design Automation of Electrical Systems (TODAES) 2011 Best Paper Award. He has won another 10+ Conference Best Paper Awards in recent years. Currently he is an associate editor of 10+ international journals, including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has served as leading guest editor for IEEE Transactions on Dependable and Secure Computing (TDSC), special issue on Social Network Security. He is the General Chair/Program Chair of a dozen of IEEE/ACM international conferences, such as IEEE TrustCom, IEEE BigDataSecurity, IEEE CSCloud, and IEEE HPCC. He has won Navy Summer Faculty Award in 2012 and Air Force Summer Faculty Award in 2009. His research is supported by US government such as NSF, NSA, Air Force, Navy and companies such as GE, Nokia, TCL, and Cavium.

 

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