Quang Ngoc Nguyen
Digital Annealer and its Application for Scalable Future Energy-Aware Communications with Optimized Network Resource Allocation
Digital Annealer (DA) technology can be compared with a process in which a metal is heated to a high temperature, then allowed to cool very gradually to converge on an optimal state. The temperature in DA is controlled by parameters, from a high point very gradually and the area in which to look for a solution is gradually narrowed down to the point of lowest energy. However, unlike classical computers, DA does not require programming. Instead, its computations can be performed by simply setting the appropriate parameters, then quickly obtain the optimal result for large-scale combinatorial optimization problems. Toward this line, in this talk, I will briefly introduce the concept of DA technology developed by Fujitsu Lab., then propose its application for the customized service-oriented optimization problems with optimal energy consumption to realize various future green network services. This research work is conducted at Fujitsu Co-Creation Research Laboratory at Waseda University as a joint-research between Waseda University and Fujitsu Lab. (Fujitsu-Waseda Digital Annealer Research Project). Specifically, I develop an adaptive learning platform to allow the user to create a dynamic network slice on demand. The proposed platform employs network slicing across multiple administrative cloud domains in which a virtual network service instance can be created upon a content provider’s request and autonomously managed, and spans multiple potentially heterogeneous edge cloud infrastructures. In addition, the content provider can manage a number of network slices running across multiple cloud domains, and each network slice is administrated by only one coordinator that manages the different VNFs (Virtual Network Functions) of the slice to ensure effective communication among them. By enabling the selection of optimal solutions based on massive amounts of content-based user requests as the learning input data for the optimal network resource allocation problem, the proposed system using DA to optimize the incurred efficient cost in terms of network resources and latency to study the impact of optimal VNF allocation for the feasibility and efficiency of the proposed context-aware network slicing framework for future communications beyond 5G networks to realize a human-centric connected society. Also, the proposal gives a new insight into applying DA technology to realize various potential service-oriented applications, including enhancing smart mobility services with high QoS (Quality of Service), realizing virtualization and softwarization for smart cities with lower energy consumption, and enabling various Real-time services which provide information to the users instantly.
Combinatorial optimization, Digital annealer (DA), network slicing, NFV/SDN (Network Function Virtualization/Software Defined Networking), parallel computing, future networks
Quang Ngoc Nguyen received the B.Eng. Degree in Information Technology, Honor Computer Science Program conducted in English from Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam in 2012, and became one of the youngest Faculty members of the Institute. He received M.Sc. degree and Ph.D. degree from Waseda University, Tokyo, Japan in 2015 and 2019, respectively. Currently, he is an Asst. Professor with Faculty of Science and Engineering, Waseda University, where he was a Research Associate since 2018. He has hosted and participated in many research projects, including the collaborative EU-Japan research projects funded by the European Commission’s Horizon 2020 Programme (e.g., the Green ICN and 5G! Pagoda projects), and the Ministry of Internal Affairs and Communication (MIC) of Japan. His research has also been funded by the Ministry of Economy, Trade and Industry (METI) of Japan, Waseda University, and Fujitsu Ltd. and Fujitsu Lab. His research interests include Future Internet Architecture, Green Networking, ICN protocol, wireless communication systems, sensor network, IoT, Data Science, AI, and Game Theory. He was the sole Awardee of Asia Special Scholarship, Waseda University for Fall 2013 admission to GITS, Waseda University. He was also a recipient of young author recognition awarded by International Telecommunication Union (ITU) for young first-author of highly potential research under 30 years old, and actively contributed to many ITU-T standardization activities related to ICN and Future Internet architecture. Besides, Dr. Nguyen had experience with editorial and conference organizations. He has served as an OCM (Organizing Committee Member) of APSCIT (Asia Pacific Society for Computing and Information Technology) Annual Meeting 2019, International Conference on Computer Science and Software Engineering 2020, and 3rd International Conference on Computer Science & Cloud Computing 2020, and a Session Chair at IEEE ICCC 2017. He was also the leader and the sole Editor of the comprehensive book on Congestion control, entitled “Congestion Control: Design, Applications and Protocols” (Nova Science Publishers, 2020). In addition, he has been a reviewer of top journals in the field of Communications and Computer Engineering, e.g., IEEE Journal on Selected Areas in Communications JSAC, IEEE IoT Journal, Elsevier Future Generation Computer Systems (FGCS), IEEE Access, Sensors (Basel, Switzerland) and IEEE Communications Standards Magazine.