Keynote Address

Keynote Address 1

[Jian-nong Cao]

Computation Partitioning for Mobile Cloud Applications

Jian-nong Cao

Professor and the head of the Department of Computing at The Hong Kong Polytechnic University

Tuesday, January 20, 9:30AM-10:30AM


Mobile Cloud Computing (MCC) offers great opportunities for mobile service industry, allowing mobile devices to utilize the elastic resources offered by the cloud. By using MCC technologies, developers can create advanced applications on mobile devices, such as multimedia applications, and augmented reality, which far more exceed the capability of the devices. However, MCC faces challenges, among which the computation partitioning problem studies how to optimally divide an application into modules and decide which modules should be offloaded to the cloud for improving the system and application performance.

There are various research issues. From the mobile side, the partitioning of applications should dynamically change with the user’s mobile environments which may vary due to the user’s mobility. From the cloud side, computation partitioning should support multi-user applications to gain profit through realizing the economic of scale. In this talk, I will first present the state of arts of research in computation partitioning in terms of application modeling, profiling, optimization, and distributed execution. I will then describe how to develop a systematic approach to support computation partitioning from three different dimensions, namely application, user, and environment. I will also present our work on addressing the challenging issues in the three respective dimensions.


Dr. Cao is currently a chair professor and head of the Department of Computing at Hong Kong Polytechnic University, Hung Hom, Hong Kong. His research interests include parallel and distributed computing, computer networks, mobile and pervasive computing, fault tolerance, and middleware. He has co-authored 3 books, co-edited 9 books, and published over 300 papers in major international journals and conference proceedings. He is a fellow of IEEE, a senior member of China Computer Federation, and a member of ACM. He was the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society from 2012 - 2014. Dr. Cao has served as an associate editor and a member of the editorial boards of many international journals, including ACM Transactions on Sensor Networks, IEEE Transacitons on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Networks, Pervasive and Mobile Computing Journal, and Peer-to-Peer Networking and Applications. He has also served as a chair and member of organizing / program committees for many international conferences, including PERCOM, INFOCOM, ICDCS, IPDPS, ICPP, RTSS, DSN, ICNP, SRDS, MASS, PRDC, ICC, GLOBECOM, and WCNC.

Dr. Cao received the BSc degree in computer science from Nanjing University, Nanjing, China, and the MSc and the Ph.D degrees in computer science from Washington State University, Pullman, WA, USA.

Keynote Address 2

[Hideyuki Nakashima]

Design and Implementation of New Public Transportation System for Smart City Hakodate

Hideyuki Nakashima

President of Future University Hakodate

Wednesday, January 21, 9:30AM-10:30AM


Smart city is a city with nerv systems, which consist of interconnected sensors, computational systems and actuators. By sensing the status of the city and responding to it via various kind of actuators, a city can be more efficient in its operations and more convenient for citizens.

A transportation system is one of the important infrastructure of a city. We are designing a new transportation service to be implemented in Hakodate city. We named it Smart Access Vehicle System (SAVS). The basic idea is to integrate the current bus and taxi system into a single computer controlled system that runs in real-time to satisfy mobility demands of citizens.

The central computer system keeps track of the locations of all vehicles through GPS, and computes their future routes. To fetch and deliver a new passenger, a vehicle with least detour and delay is selected. This kind of complex computation is realizable only by intensive use of IT.

SAVS utilizes IT in two essential ways. One is for the real-time planning of the routes of vehicles. The other is utilization of multiagent simulation for the design and evaluation of SAVS.


Dr. Hideyuki Nakashima is the president of Future University Hakodate since 2004. He received his Ph. D. in information science at the University of Tokyo in 1983.

He is very active in academic societies. He is a fellow of the Information Processing Society of Japan, Japanese Society for Artificial Intelligence, and Japanese Cognitive Science Society. He served as a PC chair for ICMAS 1997, and general chair for AAMAS 2006, PRICAI 2006, ICMU 2008, and ISDC 2010.

He co-edited Handbook of Ambient Intelligence and Smart Environments, Springer (2010).