Mobile cloud computing refers to the integrated systematic environment with communications and computing infrastructures that provides efficient and elastic cloud services to the mobile clients. Mobile cloud computing is a necessity under the deep convergence of information and communications technology. In mobile cloud computing, there are three types of essential resources, i.e., the Communications, Computing and Caching (3C) resources. These three types of resources are usually geographically distributed and individually operated by different resource provides, such as different network providers and cloud service providers. As a consequence, how to effectively and efficiently manage such constrained resources, and meanwhile, provide satisfying Quality of Experience (QoE) to mobile clients becomes considerable challenging in mobile cloud computing. In this talk, I will first describe a general framework of resource management in mobile cloud computing. After that, cooperative approaches for resource management in mobile cloud computing will be mainly discussed, including the provider-side and client-side cooperation. Finally, typical applications of mobile cloud computing will be mentioned.
Dr. Yu received his Ph.D. degree from Tsinghua University, Beijing, China, in 2007. He is currently a professor and vice dean with the School of Automation, Guangdong University of Technology, Guangzhou, China. His research interests mainly focus on information network and data, including mobile cloud computing, vehicular network, smart grid, Internet of Things and cognitive radio. He is the coauthor of over 100 international journal and conference papers, and the coholder of over 30 patents. Dr. Yu also serves as the Deputy Secretary General of the Internet of Things (IoT) Industry Alliance in Guangdong, and the Deputy Head of the IoT Engineering Center in Guangdong.
The big efforts from industries towards the Internet of Things, Services and People (IoTSP) and Industry4.0 are driving the evolution of design pidgin form the IoT and automation pyramid to the so-called Cyber Physical Systems. Today, we have seen some pre-cursor CPS examples in the areas like space, avionics, automotive, chemical processes, civil infrastructure, energy, healthcare, manufacturing, transportation, entertainment, and consumer appliances. Despite the diversity of specific solutions, the primary shared feature is the tight combination of computation, networking, and physical processes. In CPY, computational elements monitor and control the physical elements through high performance networks with feedback loops where physical processes affect computations and vice versa.
To delivery enough business values, the CPS solutions have to provide real-time, reliable and deterministic computation and communication to effectively control the physical loops with short time constant. Additionally, we have to apply more complicated AI (artificial intelligence) algorithms for sufficient smartness, deploy the solution through cloud to cover highly distributed facilities, and adopt wireless communications to reach mobile objects and harsh environments. All these requirements are pulling the evolution from conventional CPY to the Real Time CPS (RT-CPS), which is motivating the emerging technologies like edge computing, 1-ms internet, hard real time wireless communications, centimeter level indoor localization, etc. In this presentation, I will overview the detailed requirements and challenges by practical use cases of RT-CPS in process industry, factory automation, cloud robotics, smart buildings, and power systems. The latest progresses on wireless communications with ultra-high performances e.g. Gbps level data rate and sub-us level latency, will be introduced as well.Biography:
Dr. Zhibo Pang (Senior Member IEEE) received B.Eng. in Electronic Engineering from Zhejiang University, Hangzhou, China in 2002, MBA in Innovation and Growth from University of Turku, Turku, Finland in 2012, and PhD in Electronic and Computer Systems from the Royal Institute of Technology (KTH), Stockholm, Sweden in 2013. He is currently a Senior Scientist and Project Manager on Industrial IoT and Buildings at ABB Corporate Research, Västerås, Sweden, leading research projects on real-time industrial wireless communications, high accuracy localization, IP-based convergence of communications, and vertical solutions for smart homes and buildings, factory and manufacturing, and power systems. He is also serving as Adjunct Professor or similar roles at universities such as Royal Institute of Technology (KTH), Sweden, Tsinghua University, China, and Beijing University of Post and Telecommunication (BUPT), China. He is a Senior Member of IEEE and serves as Chair of Sub TC in the Technical Committee on Industrial Informatics, and Vice Chair of Sub TC in the Technical Committee on Cloud and Wireless Systems for Industrial Applications, Industrial Electronics Society of IEEE. He is serving in the editorial boards of the Journal of Management Analytics (Taylor & Francis), and the Journal of Industrial Information Integration (Elsevier). His current research interests include the real-time cyber physical systems, Internet-of-Things, wireless sensor network, industrial communication, real time embedded system, enterprise information systems, automation networks, multicore system-on-chip and network-on-chip. He also works on the business-technology joint research such as strategy, business model, value chain, and entrepreneurship. Dr. Zhibo Pang led the productization of the world first single chip DVB-S receiver SoC in 2005, conceptualized and demonstrated for the first time the Intelligent Medicine Box for in-home healthcare in 2009, developed one of the earliest functional implementations of WirelessHART stack for industrial wireless sensor networks in 2012, and demonstrated centimeter level accuracy in-door localization as industrial infrastructure with the world-wide leading performances in 2014. He has 25+ patents and 13+ refereed journal papers and 40+ conference papers. He won the National Great Invention Award of China in 2005, the First Place Prize of the RFID Nordic EXPO in 2008, and the Outstanding Paper Awards in ICACT2013.
