Computer Science ›› 2024, Vol. 51 ›› Issue (1): 4-12.doi: 10.11896/jsjkx.yg20240102
• Special Issue on the 50th Anniversary of Computer Science • Previous Articles Next Articles
DU Xiaoyong, LI Tong, LU Wei, FAN Ju, ZHANG Feng, CHAI Yunpeng
CLC Number:
| [1]CHAI Y P,LI T,FAN J,et al.The Connotation and Challenges of Cross-Domain Data Management[J].Communications of the CCF,2022,18(11):37-40. [2]LAMPORT L.The part-time parliament[J].ACM Transactions on Computer Systems,1998,16(2):133-169. [3]JUNQUEIRA F P,REED B C,SERAFINI M.Zab:High-per-formance broadcast for primary-backup systems[C]//IEEE/IFIP DSN.Piscataway:IEEE Press,2011:245-256. [4]ONGARO D,OUSTERHOUT J.In search of an understandable consensus algorithm[C]//USENIX ATC.2014:305-320. [5]XU J J,WANG W,ZENG Y,et al.Raft-PLUS:improving raft by multi-policy based leader election with unprejudiced sorting[J].Symmetry,2022,14(6):1122. [6]SAKIC E,VIZARRETA P,KELLERER W.Seer:Performance-aware leader election in single-leader consensus[J].arXiv:2104.01355,2021. [7]LIU S Y,VUKOLIĆ M.Leader set selection for low-latencygeo-replicated state machine[J].IEEE Transactions on Parallel and Distributed Systems,2016,28(7):1933-1964. [8]PARK S J,OUSTERHOUT J.Exploiting commutativity forpractical fast replication[J].arXiv:1710.09921,2017. [9]MORARU I,ANDERSEN D G,KAMINSKY M.There is more consensus in Egalitarian parliaments[C]//SOSP.New York:ACM Press,2013:358-372. [10]NAWAB F,AGRAWAL D,EL ABBADI A.DPaxos:managing data closer to users for low-latency and mobile applications[C]//ICMD.New York:ACM Press,2018:1221-1236. [11]PU Q,ANANTHANARAYANAN G,BODIK P,et al.Low latency geo-distributed data analytics[J].ACM SIGCOMM Computer Communication Review,2015,45(4):421-434. [12]OBASI E C M,EKE B,EGBONO F.Query Processing of Distributed Databases using an Improved GraphQL Model and Random Forest Algorithm[J].International Journal of Scientific and Research Publications,2022,12(4):454-466. [13]NAWROCKE K,MCMANUS M,NETTLING M,et al.Query Transformations in a Hybrid Multi-Cloud Database Environment Per Target Query Performance[EB/OL].https://www.freepatentsonline.com/y2020/0356561.html. [14]LU L,WANG W,WANG D.A query optimization method for distributed database. [15]DONG L,CHU A K,LIU F K.DDQO:An Algorithm for Distributed Database Query Optimization[C]//Proceedings of the 4th International Conference on Big Data and Computing.2019. [16]LIN Z F,YI W F,SHI G,et al.Distributed query engine and relational database query method thereof. [17]ZHANG Q,LI J,ZHAO H,et al.Efficient Distributed Transaction Processing in Heterogeneous Networks[J].Proceedings of the VLDB Endowment,2023,16(6):1372-1385. [18]YAN X N,YANG L G,ZHANG H B,et al.Carousel:Low-Latency Transaction Processing for Globally-Distributed Data[C]//Proceedings of the 2018 International Conference on Ma-nagement of Data,SIGMOD Conference.ACM,2018:231-243. [19]MU S,NELSON L,LLOYD W,et al.Consolidating Concurrency Control and Consensus for Commits under Conflicts[C]//12th USENIX Symposium on Operating Systems Design and Implementation.2016:517-532. [20]SUJAYA M,FAISAL N,DIVY A,et al.Unifying Consensus and Atomic Commitment for Effective Cloud Data Management[J].Proceedings of the VLDB Endowment,2019,12:611-623. [21]ZHANG I,SHARMA N R,SZEKERES A,et al.Building consistent transactions with inconsistent replication[C]//Procee-dings of the 25th Symposium on Operating Systems Principles.ACM,2015:263-278. [22]REN K,LI D,ABADI D J.Slog:Serializable,low-latency,geo-replicated transactions[J].Proceedings of the VLDB Endowment,2019,12(11):1747-1761. [23]JIA X F,GAO S,ZHOU Y,et al.A data efficient cross-domain circulation technology framework for megacity governance [J].Frontiers in Data and Computing,2023,5(5):35-45. [24]STONEBRAKER M,BRUCKNER D,ILYAS I F,et al.DataCuration at Scale:The Data Tamer System[C]//Biennial Conference on Innovative Data Systems Research(CIDR).Asilomar,CA,USA,2013. [25]TANG N,FAN J,LI F Y,et al.RPT:Relational Pre-trainedTransformer Is Almost All You Need towards Democratizing Data Preparation[J].PVLDB,2021,14(8):1254-1261. [26]TU J T,FAN J,WANG P,et al.Unicorn:A Unified Multi-Tasking Model for Supporting Matching Tasks in Data Integration[C]//Proceedings of the ACM on Management of Data.2023. [27]TU J H,FAN J,TANG N,et al.Domain Adaptation for Deep Entity Resolution[C]//SIGMOD.2022:443-457. [28]WANG P F,ZENG X C,CHEN L,et al.PromptEM:Prompt-tuning for Low-resource Generalized Entity Matching[J].PVLDB,2022,16(2):369-378. [29]XIE T B,WU C H,SHI P,et al.UnifiedSKG:Unifying andMulti-Tasking Structured Knowledge Grounding with Text-to-Text Language Models[C]//EMNLP.2022:602-631. [30]ZHU M P,RISCH T.Querying combined cloud-based and relational databases[C]//2011 International Conference on Cloud and Service Computing.2011. [31]DEWITT D J,HALVERSON A,NEHME R,et al.Split Query Processing in Polybase[C]//ACM SIGMOD.2023:1255-1266. [32]ABOUZEID A,BAJDA-PAWLIKOWSKI K,ABADI D,et al.HadoopDB:an architectural hybrid of MapReduce and DBMS technologies for analytical workloads[J].PVLDB,2009,2(1):922-933. [33]ARMBRUST M,XIN R S,LIAN C,et al.Spark SQL:Relational Data Processing in Spark[C]//ACM SIGMOD.2015:1383-1394. [34]JENNIE D,AARON J E,MICHAEL S,et al.The BigDAWG Polystore System[J].ACM SIGMOD Record,2015,44(2):11-16. [35]Google.Cloud Dataprep[EB/OL].https://cloud.google.com/dataprep. [36]HEER J,HELLERSTEIN J M,KANDEL S.Predictive interaction for data transformation[C]//Biennial Conference on Innovative Data Systems Research(CIDR).2015. [37]STONEBRAKER M,BRUCKNER D,ILYAS I F,et al.Data Curation at Scale:The Data Tamer System[C]//Biennial Conference on Innovative Data Systems Research(CIDR).2013. [38]GUO Z H,WU K,YAN C,et al.Releasing Locks As Early As You Can:Reducing Contention of Hotspots by Violating Two-Phase Locking[C]//Proceedings of the 2021 International Conference on Management of Data(SIGMOD’21).Association for Computing Machinery,New York,NY,USA,2021:658-670. [39]WANG L,NEAR J P,SOMANI N,et al.Data Capsule:A New Paradigm for Automatic Compliance with Data Privacy Regulations[J].arXiv:1909.00077,2019. [40]WANG L,KHAN U,NEAR J P,et al.PrivGuard:Privacy Re-gulation Compliance Made Easier[C]//USENIX Security Sym-posium.2022:3753-3770. [41]ARACHCHILAGE N A G,NAMILUKO C,MARTIN A.Ataxonomy for securely sharing information among others in a trust domain[C]//8th International Conference for Internet Technology and Secured Transactions(ICITST-2013).IEEE,2013:296-304. [42]LIN G,BIE Y,LEI M.Trust Based Access Control Policy inMulti-domain of Cloud Computing[J].Journal of Computational and Applied Mathematics,2013,8(5):1357-1365. [43]TANG B,SANDHU R.Extending openstack access control with domain trust[C]//Network and System Security:8th International Conference.Springer International Publishing,2014:54-69. [44]BHATTI R,BERTINO E,GHAFOOR A.A trust-based con-text-aware access control model for web-services[J].Distributed and Parallel Databases,2005,18:83-105. [45]GRIFFIN J L,JAEGER T,PEREZ R,et al.Trusted virtual domains:Toward secure distributed services[C]//HotDep.2005:12-17. [46]AWAN K A,DIN I U,ALMOGREN A,et al.Robusttrust－a pro-privacy robust distributed trust management mechanism for internet of things[J].IEEE Access,2019,7:62095-62106. [47]BINJUBEIR M,AHMED A A,ISMAIL M A B,et al.Comprehensive survey on big data privacy protection[J].IEEE Access,2019,8:20067-20079. [48]CHEN D,ZHAO H.Data security and privacy protection issues in cloud computing[C]//2012 International Conference on Computer Science and Electronics Engineering.IEEE,2012:647-651. [49]BENANTAR M.Access control systems:security,identity ma-nagement and trust models[M].Springer Science & Business Media,2005. [50]YAWALKAR P M,PAITHANKAR D N,PABALE A R,et al.Integrated identity and auditing management using blockchain mechanism[J].Measurement:Sensors,2023,27:100732. [51]WANG Z,WEI K,JIANG C,et al.Research on productization and development trend of data desensitization technology[C]//2021 IEEE 20th International Conference on Trust,Security and Privacy in Computing and Communications(TrustCom).IEEE,2021:1564-1569. [52]SAMARATI P,DE VIMERCATI S C.Access control:Policies,models,and mechanisms[M]//International School on Foundations of Security Analysis and Design.Berlin:Springer,2000:137-196. [53]THAMBIRAJA E,RAMESH G,UMARANI D R.A survey on various most common encryption techniques[J].International Journal of Advanced Research in Computer Science and Software Engineering,2012,2(7):226-233. [54]RABAH K.Theory and implementation of data encryptionstandard:A review[J].Information Technology Journal,2005,4(4):307-325. [55]NADEEM A,JAVED M Y.A performance comparison of data encryption algorithms[C]//2005 International Conference on Information and Communication Technologies.IEEE,2005:84-89. [56]ACAR A,AKSU H,ULUAGAC A S,et al.A survey on homomorphic encryption schemes:Theory and implementation[J].ACM Computing Surveys(CSUR),2018,51(4):1-35. [57]GONG L,ZHANG L,ZHANG W,et al.The application of data encryption technology in computer network communication security[C]//AIP.2017. [58]GOSHWE N Y.Data encryption and decryption using RSA algorithm in a network environment[J].IJCSNS,2013,13(7):9. [59]HACIGUMUS H,IYER B,MEHROTRA S.Providing database as a service[C]//IEEE ICDE.2002:29-38. [60]ANTONOPOULOS P,ARASU A,SINGH K D,et al.AzureSQL database always encrypted[C]//ACM SIGMOD.2020:1511-1525. [61]ANSARI M D,GUNJAN V K,RASHID E.On security anddata integrity framework for cloud computing using tamper-proofing[C]//ICCCE.2021:1419-1427. [62]YANG J,WEN J,JIANG B,et al.Blockchain-based sharing and tamper-proof framework of big data networking[J].IEEE Network,2020,34(4):62-67. [63]JIAO T,SHEN D R,NIE T Z,et al.Blockchain Database:AQueryable and Tamper-proof Database[J].Journal of Software,2019,30(9):2671-2685. [64]ZHENG Z,XIE S,DAI H N,et al.Blockchain challenges and opportunities:A survey[J].International Journal of Web and Grid Services,2018,14(4):352-375. [65]KOLESNIKOV V.Truly efficient string oblivious transfer usingresettable tamper-proof tokens[C]//TCC.2010:327-342. [66]BUCHMANN J,DAHMEN E,SZYDLO M.Hash-based digital signature schemes[M]//Post-Quantum Cryptography.Berlin:Springer,2009:35-93. [67]ROUHANI S,POURHEIDARI V,DETERS R.Physical access control management system based on permissioned blockchain[C]//IEEE Smart Data.2018:1078-1083. [68]LI T,ZHENG K,XU K.Acknowledgment Mechanisms ofTransmission Control[J/OL].http://www.jos.org.cn/jos/article/pdf/6939. [69]Huawei[EB/OL].https://www.huawei.com/cn/huaweitech/publication/90/deterministric-ip-networking-dark-factory. |
| [1] | ZHANG Li-zong, CUI Yuan, LUO Guang-chun, CHEN Ai-guo, LU Guo-ming and WANG Xiao-xue. Dynamic Load Balance Algorithm for Big-data Distributed Storage [J]. Computer Science, 2017, 44(5): 178-183. |
| [2] | WANG Bo-qian, YU Qi, LIU Xin, SHEN Li, WANG Zhi-ying and CHEN Wei. Efficient and Dynamic Data Management System for Cassandra Database [J]. Computer Science, 2016, 43(7): 197-202. |
| [3] | SHI Jun-ru, HEI Min-xing and YANG Jun. Data Management Framework for Internet of Things [J]. Computer Science, 2015, 42(Z6): 294-298. |
| [4] | ZHU Chao,YANG Wen-bing,SUN Lin-rui,WANG Hui-long and HUANG Guan-hua. Integration of PDM and ERP Based on the Generic Bill of Materials [J]. Computer Science, 2013, 40(Z11): 401-404. |
| [5] | SHI Guang-yuan and ZHANG Yu. Research on Fuzzy Logic-based Model of Tiered Storage [J]. Computer Science, 2013, 40(Z11): 284-287. |
| [6] | LI Qi and WU Gang. Research of Data Management on Semantic Sensor Web [J]. Computer Science, 2013, 40(6): 1-7. |
| [7] | SHEN Xin-peng,LI Zhan-huai,ZHAO Xiao-nan,ZENG Lei-jie. Locating Table in P2P Data Management System [J]. Computer Science, 2011, 38(3): 195-198. |
| [8] | ZHU Yan. On Web Source Quality Pattern Mining Approaches [J]. Computer Science, 2010, 37(8): 201-207. |
| [9] | ZHANG Shao-ping,WANG Ying-hua,LI Guo-hui. Overview of Data Management in Wireless Sensor Networks [J]. Computer Science, 2010, 37(6): 11-16. |
| [10] | LI Jie-qiong,FENG Dan. WAN Intelligent Storage System for Next Generation Internet [J]. Computer Science, 2010, 37(10): 279-282. |
|
||
Home