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Mobile Cloud and Crowd Computing and Sensing
Ivan Stojmenovic
School of Electrical Engineering and Computer Science
University of Ottawa, Canada

Abstract: Mobile devices (smart phones, tablets, laptops, embedded boards, robots) can serve as terminals for cloud computing services over intelligent network. Mobile cloud has emerged as a new cloud computing platform that ‘puts cloud into a pocket’. Important issues include optimizing the scheduling and transport schemes, access management, and application optimization, for mobile devices to achieve energy saving. This talk will first introduce the development of mobile cloud computing and describe some applications involving multimedia, vision/recognition, graphics, gaming, text processing. It will present the transmission, computation (e.g. task outsourcing), and sensing (e.g. location based services) challenges and solution approaches of green computing in mobile cloud. ‘Crowd computing’ combines mobile devices and social interactions to achieve large-scale distributed computation. Examples include task farming and social network creation and cooperation. Mobile devices are being equipped with various sensors to provide input for participatory and opportunistic crowd-sourced sensing. Particular emerging concepts are ‘vehicular cloud’ and ‘vehicular crowd’, with applications such as cloud server, vehicular data center, and congestion mitigation.

Biography: Ivan Stojmenovic received his Ph.D. degree in mathematics. He is Full Professor at the University of Ottawa, Canada. He held regular and visiting positions in Serbia, Japan, USA, Canada, France, Mexico, Spain, UK (as Chair in Applied Computing at the University of Birmingham), Hong Kong, Brazil, Taiwan, China and Australia. He published over 300 different papers, and edited seven books on wireless, ad hoc, sensor and actuator networks and applied algorithms with Wiley. He is editor of over dozen journals (including IEEE Network), editor-in-chief of IEEE Transactions on Parallel and Distributed Systems (2010-3), and founder and editor-in-chief of three journals (MVLSC, IJPEDS and AHSWN). Stojmenovic is one of about 250 computer science researchers with h-index at least 50, has top h-index in Canada for mathematics and statistics, and has >12000 citations. He received four best paper awards and the Fast Breaking Paper for October 2003, by Thomson ISI ESI. He is recipient of the Royal Society Research Merit Award, UK. He is Tsinghua 1000 Plan Distinguished Professor (2012-5). He is Fellow of the IEEE (Communications Society, class 2008), and Canadian Academy of Engineering (since 2012). He was IEEE CS Distinguished Visitor 2010-11 and received 2012 Distinguished Service award from IEEE ComSoc Communications Software TC. He received Excellence in Research Award of the University of Ottawa 2009. Stojmenovic chaired and/or organized >60 workshops and conferences, and served in >200 program committees. He was program co-chair at IEEE PIMRC 2008, IEEE AINA-07, IEEE MASS-04&07, founded several workshop series, and is/was Workshop Chair at IEEE ICDCS 2013, IEEE INFOCOM 2011, IEEE MASS-09, ACM Mobihoc-07&08.
Exascale Computing and the Democratisation of HPC
Sunil D Sherlekar
Senior Principal Engineer
Director of Parallel Computing Research
Intel Labs
Bangalore, India

Abstract: Development of Exascale Computers before the end of this decade is an ambitious target taken up by the international HPC community. The challenges are numerous; the important ones being power consumption & dissipation, reliability, application scaling, display technology and ubiquitous access. These challenges also occur at all levels of abstraction: materials & device physics, circuit design, logic design, architecture, the software stack, algorithms and high-speed networking (the last one for ubiquitous access). We need to meet these challenges not only at every level of abstraction but also need to look at the interaction between levels.

Meeting the target of building Exascale systems will of course help us solve some “grand challenge…#157; problems in science and engineering. More importantly, perhaps, it will help us “democratise…#157; the use of HPC because of the affordability in terms of both capital and operating costs. However, such democratisation will require meeting yet another overriding challenge: education. A large workforce will be needed to design algorithms, optimise application software and intelligently use (high-end) simulation in their design flow.

The talk will cover all the above aspects. Specific examples will be used for concrete illustration.

Biography: Sunil Sherlekar is a Senior Principal Engineer and Director of Parallel Computing Research at Intel Labs in Bangalore since Sept. 2010. Earlier he was the Founder & Head of Research at Tata Computational Research Labs in Pune (2006-2010), Head of Embedded Systems R&D at Tata Consultancy Services (2002-2006), CTO at Sasken Communication Technologies (1992-2002) and on the faculty of Computer Science & Engg. at IIT Bombay (1982-1992).

Sunil has a B. Tech. (Elect. Engg.) a M. Tech. (Computer Science & Engg.) and a Ph D. all from IIT Bombay. He has published several papers in the areas of Electronic Design Automation and VLSI Signal Processing and a book on VLSI Signal Processing. He was an Associate Editor of IEEE Trans on VLSI, on the Steering Committees of ASPDAC and International Conf on VLSI Design and on the Executive Committee of India Semiconductor Association.

Sunil’s current areas of interest lie in mapping of HPC applications to architectures — many-core chips and clusters.

Sunil is a Fellow of the Indian National Academy of Engineering and an Adjunct Professor at IIT Bombay.

Distributed Processing in Wireless Ad hoc and Sensor Networks
Jian-Nong Cao
Chair Professor and Head
Director of Internet and Mobile Computing Lab
Department of Computing
Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong

Abstract: Wireless ad hoc and sensor networks (WASNs) raise new problems and/or new challenging issues in distributed processing. Furthermore, WASNs are mostly application specific. Design of distributed algorithms needs to explicitly account for mobility, resource constraints, dynamic changes and other characteristics of WASNs, as well as special application requirements. In this talk, I will overview distributed processing in WASNs and discuss the important issues and principles of designing effective solutions. I will also report our research in designing efficient and reliable distributed algorithms for applications of wireless sensor networks in structural health monitoring

Biography: 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 senior member of China Computer Federation, a senior member of IEEE, and a member of ACM. He was the Coordinator in Asia and now the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society. Dr. Cao has served as an associate editor and a member of the editorial boards of many international journals, including IEEE Transactions on Parallel and Distributed Systems, IEEE Networks, Pervasive and Mobile Computing Journal, Wireless Communications and Mobile Computing, Peer-to-Peer Networking and Applications, and Journal of Computer Science and Technology. 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.

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