Balanced Byzantine Reliable Broadcast with Near-Optimal Communication and Improved Computation

被引:5
|
作者
Alhaddad, Nicolas [1 ]
Das, Sourav [2 ]
Duan, Sisi [3 ]
Ren, Ling [2 ]
Varia, Mayank [1 ]
Xiang, Zhuolun [2 ]
Zhang, Haibin [4 ]
机构
[1] Boston Univ, Boston, MA USA
[2] Univ Illinois, Champaign, IL USA
[3] Tsinghua Univ, Beijing, Peoples R China
[4] Beijing Inst Technol, Beijing, Peoples R China
关键词
Asynchronous Networks; Reliable Broadcast; Communication Complexity; Computation Complexity; Lower Bounds; SHORT SIGNATURES;
D O I
10.1145/3519270.3538475
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper studies Byzantine reliable broadcast (BRB) under asynchronous networks, and improves the state-of-the-art protocols from the following aspects. Near-optimal communication cost: We propose two new BRB protocols for.. nodes and input message.. that has communication cost O (n|M |+n(2) logn), which is nearoptimal due to the lower bound of Omega(n|M |+n(2)). The first RBC protocol assumes threshold signature but is easy to understand, while the second RBC protocol is error-free but less intuitive. Improved computation: We propose a newconstruction that improves the computation cost of the state-of-the-art BRB by avoiding the expensive online error correction on the input message, while achieving the same communication cost. Balanced communication: We propose a technique named balanced multicast that can balance the communication cost for BRB protocols where the broadcaster needs to multicast the message.. while other nodes only needs to multicast coded fragments of size O(|M |/n + logn). The balanced multicast technique can be applied to many existing BRB protocols as well as all our new constructions in this paper, and can make every node incur about the same communication cost. Finally, we present a lower bound to show the near optimality of our protocol in terms of communication cost at each node.
引用
收藏
页码:399 / 417
页数:19
相关论文
共 50 条
  • [1] OPTIMAL AND NEAR-OPTIMAL BROADCAST IN RANDOM GRAPHS
    SCHEINERMAN, ER
    WIERMAN, JC
    [J]. DISCRETE APPLIED MATHEMATICS, 1989, 25 (03) : 289 - 297
  • [2] A Near-Optimal Broadcast Technique for Vehicular Networks
    Ho, Ai Hua
    Ho, Yao Hua
    Hua, Kien A.
    Villafane, Roy
    [J]. WTS: 2009 WIRELESS TELECOMMUNICATIONS SYMPOSIUM, 2009, : 413 - +
  • [3] Optimal and near-optimal algorithms for k-item broadcast
    Santos, EE
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 1999, 57 (02) : 121 - 139
  • [4] Byzantine Agreement in Polynomial Time with Near-Optimal Resilience*
    Huang, Shang-En
    Pettie, Seth
    Zhu, Leqi
    [J]. PROCEEDINGS OF THE 54TH ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '22), 2022, : 502 - 514
  • [5] Near-optimal Relaying Strategy for Cooperative Broadcast Channels
    Ning, Haishi
    Ling, Cong
    Leung, Kin K.
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, 2009, : 1553 - 1557
  • [6] Optimal and Near-Optimal Online Strategies for Energy Harvesting Broadcast Channels
    Baknina, Abdulrahman
    Ulukus, Sennur
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2016, 34 (12) : 3696 - 3708
  • [7] Near-optimal data allocation over multiple broadcast channels
    Wang, S
    Chen, HL
    [J]. 2004 12TH IEEE INTERNATIONAL CONFERENCE ON NETWORKS, VOLS 1 AND 2 , PROCEEDINGS: UNITY IN DIVERSITY, 2004, : 207 - 211
  • [8] Near-optimal path-based wormhole broadcast in hypercubes
    Latifi, S
    Lee, MH
    Srimani, PK
    [J]. INTERNATIONAL SOCIETY FOR COMPUTERS AND THEIR APPLICATIONS 10TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS, 1997, : 545 - 550
  • [9] Near-optimal data allocation over multiple broadcast channels
    Wang, Shuoi
    Chen, Hsing-Lung
    [J]. COMPUTER COMMUNICATIONS, 2006, 29 (09) : 1341 - 1349
  • [10] Multilevel Coding for the Broadcast Channel: Optimality & Near-Optimal Constructions
    Abotabl, Ahmed
    Nosratinia, Aria
    [J]. 2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2016,