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张志威  等:区块链的数据管理技术综述                                                              2923


         [73]    Herlihy M. Atomic cross-chain swaps. In: Proc. of the 2018 ACM Symp. on Principles of Distributed Computing (PODC 2018).
             New York: ACM, 2018. 245−254.
         [74]    Zakhary V, Agrawal D, El Abbadi A. Atomic commitment across blockchains. CoRR, vol. abs/1905.02847, 2019.
         [75]    Sharma  A, Schuhknecht FM, Agrawal  D, Dittrich  J.  Blurring  the lines between blockchains  and database systems:  The  case of
             hyperledger fabric. In: Proc. of the 2019 Int’l Conf. on Management of Data (SIGMOD 2019). New York: ACM, 2019. 105−122.
         [76]    Amiri MJ, Agrawal D, El Abbadi A. Parblockchain: Leveraging transaction parallelism in permissioned blockchain systems. CoRR,
             vol. abs/1902.01457, 2019.
         [77]    Javaid H, Hu C, Brebner GJ. Optimizing validation phase of hyperledger fabric. CoRR, vol. abs/1907.08367, 2019.
         [78]    Dickerson T, Gazzillo  P,  Herlihy M, Koskinen E. Adding concurrency  to smart contracts. In: Proc. of  the ACM  Symp.  on
             Principles of Distributed Computing (PODC 2017). New York: ACM, 2017. 303−312.
         [79]    Anjana PS, Kumari S, Peri S, Rathor S, Somani A. An efficient framework for optimistic concurrent execution of smart contracts.
             In: Proc. of the 27th Euromicro Int’l Conf. on Parallel, Distributed and Network-Based Processing (PDP 2019). 2019. 83−92.
         [80]    Bessani A, Sousa JA, Vukoli´c M. A Byzantine fault-tolerant ordering service for the hyperledger fabric blockchain platform. In:
             Proc. of the 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers (SERIAL 2017). New York: ACM,
             2017. 6:1−6:2.
         [81]    Nathan S,  Govindarajan  C, Saraf  A, Sethi  M, Jayachandran P. Blockchain  meets database: Design  and  implementation of  a
             blockchain relational database. CoRR, vol. abs/1903.01919, 2019.
         [82]    Cahill MJ, R¨ohm U, Fekete AD. Serializable isolation for snapshot databases. In: Proc. of the 2008 ACM SIGMOD Int’l Conf. on
             Management of Data (SIGMOD 2008). New York: ACM, 2008. 729−738.
         [83]    Weikum G, Vossen G. Transactional  Information  Systems: Theory,  Algorithms, and  the Practice  of  Concurrency Control and
             Recovery. San Francisco: Morgan Kaufmann Publishers Inc., 2001.
         [84]    Ruan P, Chen G, Dinh TTA, Lin Q, Ooi BC, Zhang M. Fine-Grained, secure and efficient data provenance on blockchain systems.
             Proc. of the VLDB Endowment, 2019,12(9):975−988.
         [85]    Ramachandran A, Kantarcioglu M. Using  blockchain and  smart contracts  for secure  data provenance management. CoRR,  vol.
             abs/1709.10000, 2017.
         [86]    Buterin V. Chainsql. 2019, http://www.chainsql.net/
         [87]    Bigchaindb: The blockchain database. 2019.
         [88]    Zhu Y, Zhang Z, Jin C, Zhou A, Yan Y. SEBDB: Semantics empowered blockchain database. In: Proc. of the 35th IEEE Int’l Conf.
             on Data Engineering (ICDE 2019). Macao, 2019. 1820−1831.
         [89]    Cai L, Zhu YC, Guo QX, Zhang Z, Jin CQ. Efficient materialized view maintenance and trusted query for blockchain. Ruan Jian
             Xue Bao/Journal of  Software,  2020,31(3):680−694 (in  Chinese). http://www.jos.org.cn/1000-9825/5914.htm (in  Chinese with
             English abstract). [doi: 10.13328/j.cnki.jos.005914]
         [90]    Li F, Hadjieleftheriou M, Kollios G, Reyzin L. Dynamic authenticated index structures for outsourced databases. In: Proc. of the
             2006 ACM SIGMOD Int’l Conf. on Management of Data (SIGMOD 2006). New York: ACM, 2006. 121−132.
         [91]    Pang H, Tan KL. Authenticating query results in edge computing. In: Proc. of the 20th Int’l Conf. on Data Engineering (ICDE
             2004). Washington: IEEE Computer Society, 2004. 560−571.
         [92]    Chen Q, Hu H, Xu  J. Authenticated  online  data integration  services.  In: Proc. of the 2015 ACM SIGMOD  Int’l Conf.  on
             Management of Data (SIGMOD 2015). New York: ACM, 2015. 167−181.
         [93]    Bitcoin. Running a full node. 2018. https://bitcoin.org/en/full-node
         [94]    Xu C, Zhang C, Xu J. vChain: Enabling verifiable Boolean range queries over blockchain databases. In: Proc. of the 2019 Int’l
             Conf. on Management of Data (SIGMOD 2019). New York: ACM, 2019. 141−158.
         [95]    Zhang C, Xu C, Xu J, Tang Y, Choi B. GEM2-Tree: A gas-efficient structure for authen-ticated range queries in blockchain. In:
             Proc. of the 35th IEEE Int’l Conf. on Data Engineering. Macau SAR, 2019. 842−853.
         [96]    Gehrke  J, Allen L, Antonopoulos P, Arasu A, Hammer  J, Hunter  J, Kaushik R, Kossmann D,  Ramamurthy R,  Setty  STV,
             Szymaszek J, van Renen A, Lee J, Venkatesan R. Veritas: Shared verifiable databases and tables in the cloud. In: Proc. of the 9th
             Biennial Conf. on Innovative Data Systems Research (CIDR 2019). Asilomar, 2019.
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