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                      Muralidharan S, Murthy C, Nguyen B, Sethi M, Singh G, Smith K, Sorniotti A, Stathakopoulou C, Vukolić M, Cocco SW, Yellick J.
                      Hyperledger Fabric: A distributed operating system for permissioned blockchains. In: Proc. of the 13th EuroSys Conf. Porto: ACM,
                      2018. 30. [doi: 10.1145/3190508.3190538]
                 [33]   Chase JPM. A permissioned implementation of Ethereum. 2024. https://github.com/jpmorganchase/quorum
                 [34]   Castro  M,  Liskov  B.  Practical  Byzantine  fault  tolerance  and  proactive  recovery.  ACM  Trans.  on  Computer  Systems,  2002,  20(4):
                      398–461. [doi: 10.1145/571637.571640]
                 [35]   Ongaro D, Ousterhout J. In search of an understandable consensus algorithm. In: Proc. of the 2014 USENIX Annual Technical Conf.
                      USENIX Association, 2014. 305–319.
                 [36]   Nakamoto S. Bitcoin: A peer-to-peer electronic cash system. 2008. https://bitcoin.org/bitcoin.pdf
                 [37]   Sharding in Ethereum 2.0. 2024. https://ethereum.org/en/upgrades/sharding/
                 [38]   Peng ZS, Zhang YF, Xu Q, Liu HX, Gao YX, Li XH, Yu G. NeuChain: A fast permissioned blockchain system with deterministic
                      ordering. Proc. of the VLDB Endowment, 2022, 15(11): 2585–2598. [doi: 10.14778/3551793.3551816]
                 [39]   Nasirifard P, Mayer R, Jacobsen HA. OrderlessChain: A CRDT-enabled blockchain without total global order of transactions: Poster
                      abstract.  In:  Proc.  of  the  23rd  Int’l  Middleware  Conf.  Demos  and  Posters.  Quebec  City:  ACM,  2022.  5–6.  [doi: 10.1145/3565386.
                      3565486]
                 [40]   Zamani M, Movahedi M, Raykova M. RapidChain: Scaling blockchain via full sharding. In: Proc. of the 2018 ACM SIGSAC Conf. on
                      Computer and Communications Security. Toronto: ACM, 2018. 931–948. [doi: 10.1145/3243734.3243853]
                 [41]   Dang HN, Dinh TTA, Loghin D, Chang EC, Lin Q, Ooi BC. Towards scaling blockchain systems via sharding. In: Proc. of the 2019 Int’l
                      Conf. on Management of Data. Amsterdam: ACM, 2019. 123–140. [doi: 10.1145/3299869.3319889]
                 [42]   Amiri MJ, Agrawal D, El Abbadi A. SharPer: Sharding permissioned blockchains over network clusters. In: Proc. of the 2021 Int’l Conf.
                      on Management of Data. ACM, 2021. 76–88. [doi: 10.1145/3448016.3452807]
                 [43]   Hong ZC, Guo S, Zhou EY, Chen WH, Huang HW, Zomaya A. GriDB: Scaling blockchain database via sharding and off-chain cross-
                      shard mechanism. Proc. of the VLDB Endowment, 2023, 16(7): 1685–1698. [doi: 10.14778/3587136.3587143]
                 [44]   Hellings J, Sadoghi M. ByShard: Sharding in a Byzantine environment. The VLDB Journal, 2023, 32(6): 1343–1367. [doi: 10.1007/
                      s00778-023-00794-0]
                 [45]   Berger C, Schwarz-Rüsch S, Vogel A, Bleeke K, Jehl L, Reiser HP, Kapitza R. SoK: Scalability techniques for BFT consensus. In: Proc.
                      of the 2023 IEEE Int’l Conf. on Blockchain and Cryptocurrency (ICBC). Dubai: IEEE, 2023. 1–18. [doi: 10.1109/ICBC56567.2023.
                      10174976]
                 [46]   Zhou QH, Huang HW, Zheng ZB, Bian J. Solutions to Scalability of Blockchain: A Survey. IEEE Access, 2020, 8: 16440–16455. [doi:
                      10.1109/ACCESS.2020.2967218]
                 [47]   Yu GS, Wang X, Yu K, Ni W, Zhang JA, Liu RP. Survey: Sharding in Blockchains. IEEE Access, 2020, 8: 14155–14181. [doi: 10.1109/
                      ACCESS.2020.2965147]
                 [48]   Conti M, Kumar G, Nerurkar P, Saha R, Vigneri L. A survey on security challenges and solutions in the IOTA. Journal of Network and
                      Computer Applications, 2022, 203: 103383. [doi: 10.1016/j.jnca.2022.103383]
                 [49]   Lamport L. Paxos made simple. ACM SIGACT News, 2001, 32(4): 51–58.
                 [50]   Amir Y, Danilov C, Dolev D, Kirsch J, Lane J, Nita-Rotaru C, Olsen J, Zage D. Steward: Scaling Byzantine fault-tolerant replication to
                      wide area networks. IEEE Trans. on Dependable and Secure Computing, 2010, 7(1): 80–93. [doi: 10.1109/TDSC.2008.53]
                 [51]   Charapko A, Ailijiang A, Demirbas M. PigPaxos: Devouring the communication bottlenecks in distributed consensus. In: Proc. of the
                      2021 Int’l Conf. on Management of Data. ACM, 2021. 235–247. [doi: 10.1145/3448016.3452834]
                 [52]   Guo BY, Lu ZL, Tang Q, Xu J, Zhang ZF. Dumbo: Faster asynchronous BFT protocols. In: Proc. of the 2020 ACM SIGSAC Conf. on
                      Computer and Communications Security. ACM, 2020. 803–818. [doi: 10.1145/3372297.3417262]
                 [53]   Miller A, Xia Y, Croman K, Shi ELN, Song D. The honey badger of BFT protocols. In: Proc. of the 2016 ACM SIGSAC Conf. on
                      Computer and Communications Security. Vienna: ACM, 2016. 31–42. [doi: 10.1145/2976749.2978399]
                 [54]   Nawab F, Sadoghi M. Blockplane: A global-scale Byzantizing middleware. In: Proc. of the 35th IEEE Int’l Conf. on Data Engineering.
                      Macao: IEEE, 2019. 124–135. [doi: 10.1109/ICDE.2019.00020]
                 [55]   Liu FG, Yang YY. D-Paxos: Building hierarchical replicated state machine for cloud environments. IEICE Trans. on Information and
                      Systems, 2016, E99.D(6): 1485–1501. [doi: 10.1587/transinf.2016EDP7036]
                 [56]   Castiglia T, Goldberg C, Patterson S. A hierarchical model for fast distributed consensus in dynamic networks. In: Proc. of the 40th
                      IEEE Int’l Conf. on Distributed Computing Systems. Singapore: IEEE, 2020. 1189–1190. [doi: 10.1109/ICDCS47774.2020.00137]
                 [57]   Van  Renesse  R,  Altinbuken  D.  Paxos  made  moderately  complex.  ACM  Computing  Surveys,  2015,  47(3):  42.  [doi:  10.1109/
                      ICDCS47774.2020.00137]
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