Chenghsin Hsu

Professor, National Tsing-Hua University, Taiwan

Dec. 7th, 2018, 11am-12pm, DBH 4011


Internet-of-Things Analytics in the Era of Cloud-to-Things Continuum


The rapid advances of computer networks, cloud computing, big data, and consumer-graded electronics, result in many more computing nodes surrounding us that can offer diverse types of resources, including computation, communications, storage, and sensing, to multiple users. Integrating resources from devices scattering from the cloud data centers to end devices enables dynamic Internet-of-Things (IoT) analytics, which is referred to as cloud-to-things continuum. Deploying dedicated infrastructure to realize individual IoT analytics is time-consuming, tedious, and expensive. Therefore, research teams and even companies around the globe have been building managed, programmable, and multi-tenant smart spaces in different scales, ranging from smart buildings, campuses, communities, and cities, for the era of cloud-to-things continuum.

In this talk, I will share our recent work on dynamically deploying IoT analytics across multiple geographically-distributed computing nodes. I will discuss the problem of optimally deploying heterogeneous IoT analytics, such as object recognition and sound classification, on a given smart-space infrastructure, so as to maximize its throughput. We mathematically formulate this deployment problem and design a suite of algorithms to solve it under different circumstances. Moreover, we conduct a detailed measurement study to derive real system models of the IoT analytics based on diverse quality levels and heterogeneous devices to facilitate the optimal deployment decisions. We implement a testbed to conduct experiments, which show that the system models achieve reasonably good accuracy. Other novel applications enabled by cloud-to-things continuum, such as smart city and wearable Augmented Reality (AR) will also be discussed, if time permits.

Speaker Bio:

Cheng-Hsin Hsu received M.S./B.S. degrees from National Chung-Cheng University, the M.Eng. degree from the University of Maryland, and the Ph.D. degree fromSimon Fraser University. He joined the Department of Computer Science, National Tsing Hua University in 2011 as an Assistant Professor, and was promoted to an Associate Professor in 2014. Before accepting the teaching position, he was with the Deutsche Telekom Laboratory (California), Motorola Inc. (Illinois), and Lucent Technologies (Maryland) for more than 6 years. Cheng-Hsin has also been a Visiting Scholar at University of California, Irvine, Qatar Computing Research Institute, and University of Illinois Urbana-Champaign. Cheng-Hsin's research interests are in the broad area of multimedia networking, mobile computing, broadcast/wireless networks, Internet-of-Things (IoT), networked games, cloud/fog computing, and computer networks. He helped organizing international conferences in various capacities, such as Area Co-chair at ACM Multimedia'17 and TPC Co-chair at ACM MMSys'17. Cheng-Hsin has been an Associate Editor of ACM Transactions on Multimedia Computing (TOMM), Communications, and Applications since 2014, and was the IEEE MMTC E-LETTER between 2012 and 2014. He and his colleagues received the best paper awards at the IEEE CloudCom'17, APNOMS'16, IEEE RTAS’12, and IEEE Innovation'08, as well as the TAOS best paper award at IEEE GLOBECOM’12 and the Best Demo Award from ACM Multimedia’08. Cheng-Hsin was selected as one of the Multimedia Rising Stars by the ACM SIGMM in 2015, and he won the Best Associate Editor Award from TOMM in 2016.