Keynote Addresses

Keynote 2

Enhancing Scalability and Liquidation in QoS Lightning Networks

Conference
9:00 AM — 10:00 AM JST
Local
Jun 25 Fri, 8:00 PM — 9:00 PM EDT

Enhancing Scalability and Liquidation in QoS Lightning Networks

Jie Wu (Temple Univsitery, USA)

0
Abstract:  The lightning network (LN) is a special network in Bitcoin that uses offchain micropayment channels to scale the blockchain’s capability to perform instant transactions without a global block confirmation process. However, QoS measurements such as micropayment scalability in a large LN and liquidation for small nodes still remain major challenges for the LN. In this paper, we introduce the notion of supernodes and the corresponding supernodesbased pooling to address these challenges. In order to meet the high adaptivity and low maintenance cost in the dynamic LN where users join and leave, supernodes are constructed locally without any global information or label propagation. Each supernode, together with a subset of (non-supernodes) neighbors, forms a supernode-based pool. These pools constitute a partition of the LN. Additionally, supernodes are self-connected. Micropayment scalability is supported through node set reduction as only supernodes are involved in searching and in payment with other supernodes. Liquidation is enhanced through pooling to redistribute funds within a pool to external channels of its supernode. The efficacy of the proposed scheme is validated through both simulation and testbed in terms of routing success ratio. 

Biography: Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He also serves as the Director of International Affairs at College of Science and Technology. He served as Chair of Department of Computer and Information Sciences and Associate Vice Provost for International Affairs. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications. Dr. Wu regularly publishes in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Mobile Computing and IEEE Transactions on Service Computing. Dr. Wu was general co-chair for IEEE MASS 2006, IEEE IPDPS 2008, IEEE ICDCS 2013, ACM MobiHoc 2014, ICPP 2016,  IEEE CNS 2016, WiOpt 2021, and ICDCN 2022 as well as program cochair for IEEE INFOCOM 2011, CCF CNCC 2013, and ICCCN 2020. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP).  He was also the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award. Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. 

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Keynote 3

Edge Computing Meets Mission-critical Industrial Applications

Conference
12:30 PM — 1:30 PM JST
Local
Jun 25 Fri, 11:30 PM — 12:30 AM EDT

Edge Computing Meets Mission-critical Industrial Applications

Albert Y. Zomaya (University of Sydney,  Australia)

0
Abstract: In the past few decades, industrial automation has become a driving force in a wide range of industries. There is a broad agreement that the deployment of computing resources close to where data is created is more business-friendly, as it can address system latency, privacy, cost, and resiliency challenges that a pure cloud computing approach cannot address. This computing paradigm is now known as Edge Computing. Having said that, the full potential of this transformation for both of computing and data analytics is far from being realized. The industrial requirements are much more stringent than what a simple edge computing paradigm can deliver. This is particularly true when mission-critical industrial applications have strict requirements on real-time decision making, operational technology innovation, data privacy, and running environment. In this talk, I aim to provide a few answers by combining real-time computing strengths into modern data- and intelligence-rich computing ecosystems.

Biography: Albert Y. Zomaya is Chair Professor of High-Performance Computing & Networking in the School of Computer Science and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney. To date, he has published > 600 scientific papers and articles and is (co-)author/editor of >30 books. A sought-after speaker, he has delivered >250 keynote addresses, invited seminars, and media briefings. His research interests span several areas in parallel and distributed computing and complex systems. He is currently the Editor in Chief of the ACM Computing Surveys and served in the past as Editor in Chief of the IEEE Transactions on Computers (2010-2014) and the IEEE Transactions on Sustainable Computing (2016-2020). Professor Zomaya is a decorated scholar with numerous accolades including Fellowship of the IEEE, the American Association for the Advancement of Science, and the Institution of Engineering and Technology (UK). Also, he is an Elected Fellow of the Royal Society of New South Wales and an Elected Foreign Member of Academia Europaea. He is the recipient of the1997 Edgeworth David Medal from the Royal Society of New South Wales for outstanding contributions to Australian Science, the IEEE Technical Committee on Parallel Processing Outstanding Service Award (2011), IEEE Technical Committee on Scalable Computing Medal for Excellence in Scalable Computing (2011), IEEE Computer Society Technical Achievement Award (2014), ACM MSWIM Reginald A. Fessenden Award (2017), and the New South Wales Premier’s Prize of Excellence in Engineering and Information and Communications Technology (2019).

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