IEEE INFOCOM 2023
MERCURY: Fast Transaction Broadcast in High Performance Blockchain Systems
Mingxun Zhou (Carnegie Mellon University, USA); Yilin Han (Shanghai Tree-Graph Blockchain Research Institute, China); Liyi Zeng (Tsinghua University, China); Peilun Li (Shanghai Tree-Graph Blockchain Research Institute, China); Fan Long (University of Toronto, Canada); Dong Zhou (IMO Ventures, China); Ivan Beschastnikh (University of British Columbia, Canada); Ming Wu (Shanghai Tree-Graph Blockchain Research Institute, China)
We present Mercury, a new transaction broadcast protocol designed for high performance blockchains. Mercury shortens the transaction propagation delay using two techniques: a virtual coordinate system (VCS) and an early outburst strategy. Our simulation results show that Mercury outperforms prior propagation schemes and decreases overall propagation latency by up to 44%. When implemented in Conflux, an open-source high-throughput blockchain system, Mercury reduces transaction propagation latency by over 50% with a bandwidth overhead of less than 5%.
Speaker Liyi Zeng (Tsinghua University)
Liyi Zeng is a PhD candidate from IIIS, Tsinghua University, advised by Prof. Wei Xu. Her research areas include Blockchain System, Data Mining and Network Security.
PROPHET: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
Zicong Hong (The Hong Kong Polytechnic University, China); Song Guo and Enyuan Zhou (The Hong Kong Polytechnic University, Hong Kong); Jianting Zhang (Purdue University, USA); Chen Wuhui (Sun Yat-sen University, China); Jinwen Liang and Jie Zhang (The Hong Kong Polytechnic University, Hong Kong); Albert Zomaya (The University of Sydney, Australia)
Speaker Zicong Hong (The Hong Kong Polytechnic University)
Zicong Hong is pursuing his Ph.D. degree in the Department of Computing at Hong Kong Polytechnic University, Hong Kong SAR, China. Before that, in 2020, he received B.E. degree in software engineering from Sun Yat-sen University, Guangzhou, China. Now, he is a visiting student of Distributed Computing Group at ETH Zurich, Switzerland. His research interest broadly lies in the areas of blockchain, edge computing and incentive mechanism.
A Decentralized Truth Discovery Approach to the Blockchain Oracle Problem
Yang Xiao (University of Kentucky, USA); Ning Zhang (Washington University in St. Louis, USA); Wenjing Lou and Thomas Hou (Virginia Tech, USA)
Speaker Yang Xiao (University of Kentucky)
Yang Xiao is an Assistant Professor of Computer Science at the University of Kentucky. His research interests lie in network security, distributed systems, blockchain and decentralized systems, and mobile network security. He received his Ph.D. degree from Virginia Tech in 2022.
CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus
Mingzhe Li (Hong Kong University of Science and Technology, Hong Kong); You Lin (Southern University of Science and Technology, China); Jin Zhang (Southern University of Science and Technology, USA); Wei Wang (Hong Kong University of Science and Technology, Hong Kong)
Speaker Mingzhe LI (A*STAR)
Mingzhe Li is currently a Scientist with the Institute of High Performance Computing (IHPC), A*STAR, Singapore, and a Champion of its blockchain group. He received his Ph.D. degree from the Department of Computer Science and Engineering, Hong Kong University of Science and Technology in 2022. Prior to that, he received his B.E. degree from Southern University of Science and Technology. His interests are mainly in scalable and secure blockchain protocols, Web 3.0, privacy-preserving blockchain, network economics, etc.
On the Capacity Region of a Quantum Switch with Entanglement Purification
Nitish K. Panigrahy (Yale University, USA); Thirupathaiah Vasantam (Durham University, United Kingdom (Great Britain)); Don Towsley (University of Massachusetts at Amherst, USA); Leandros Tassiulas (Yale University, USA)
Speaker Nitish Kumar Panigrahy (University of Massachusetts Amherst)
Dr. Nitish Kumar Panigrahy is currently a postdoctoral researcher at NSF ERC Center for Quantum Networks, working jointly with Prof. Leandros Tassiulas (Yale University) and Prof. Don Towsley (University of Massachusetts Amherst). He earned his PhD degree in Computer Science at University of Massachusetts Amherst in 2021. Nitish’s research interests lie in modeling, optimization, and performance evaluation of networked systems with applications to Internet of Things (IoT), cloud computing, content delivery, and quantum information networking.
Qubit Allocation for Distributed Quantum Computing
Yingling Mao, Yu Liu and Yuanyuan Yang (Stony Brook University, USA)
Speaker Yingling Mao (Stony Brook University)
Yingling Mao received her B.S. degree in Mathematics and Applied Mathematics in Zhiyuan College from Shanghai Jiao Tong University, Shanghai, China, in 2018. She is currently working toward the Ph.D degree in the Department of Electrical and Computer Engineering, Stony Brook University. Her research interests include network function virtualization, edge computing, cloud computing and quantum networks.
A Quantum Overlay Network for Efficient Entanglement Distribution
Shahrooz Pouryousef (University of Massachusetts Amherst MA, USA); Nitish K. Panigrahy (Yale University, USA); Don Towsley (University of Massachusetts at Amherst, USA)
Speaker Shahrooz Pouryousef (UMass Amherst)
Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing
Lan Yang, Yangming Zhao and Liusheng Huang (University of Science and Technology of China, China); Chunming Qiao (University at Buffalo, USA)
In this paper, we propose an Asynchronous Entanglement Routing and Provisioning (AEPR) scheme to minimize the task completion time in DQC systems. AEPR has three distinct features: (i). Entanglement Paths (EPs) for a given SD pair are predetermined to eliminate the need for runtime calculation; (ii). Entanglement Links (ELs) are established proactively to reduce the time needed to successfully create ELs; and (iii). For a given EC request, quantum swapping along an EP is performed by a repeater whenever two adjacent ELs are created, so precious quantum resources at the repeater can be released immediately thereafter for other ELs and ECs. Extensive simulations show that AEPR can save up to 76.05% of the average task completion time in DQC systems compared with the state-of-the-art entanglement routing schemes designed to maximize QDN throughput.
Speaker Lan Yang (University of Science and Technology of China)
Lan Yang is a Master student in the department of Computer Science and Technology, University of Science and Technology of China. She received the bachelor’s degree in University of Science and Technology of China in 2022. Her research interests include network optimization, traffic engineering, and quantum networks. Currently, she is primarily working with Prof. Yangming Zhao on routing protocol design in quantum networks.