Big Data Research ›› 2019, Vol. 5 ›› Issue (4): 89-99.doi: 10.11959/j.issn.2096-0271.2019034
• STUDY • Previous Articles Next Articles
Hao WU1,2,Kang CHEN1,2,Yongwei WU1,2,Weimin ZHENG1,2
Online:
2019-07-15
Published:
2019-08-09
Supported by:
CLC Number:
Hao WU,Kang CHEN,Yongwei WU,Weimin ZHENG. Research on the consensus of big data systems based on RDMA and NVM[J]. Big Data Research, 2019, 5(4): 89-99.
[1] | GRAY J , LAMPORT L . Consensus on transaction commit[J]. ACM Transactions on Database Systems (TODS), 2006,31(1): 133-160. |
[2] | SKEEN D , . Nonblocking commit protocols[C]// The 1981 ACM SIGMOD International Conference on Management of Data,April 29-May 1,1981,Ann Arbor,USA. New York:ACM Press, 1981: 133-142. |
[3] | GIFFORD D K , . Weighted voting for replicated data[C]// The 7th ACM Symposium on Operating Systems Principles,December 10-12,1979,Pacific Grove,USA. New York:ACM Press, 1979: 150-162. |
[4] | LAMPORT L . Paxos made simple[J]. ACM Sigact News, 2001,32(4): 18-25. |
[5] | CHANDRA T D , GRIESEMER R , REDSTONE J . Paxos made live:an engineering perspective[C]// The 26th Annual ACM Symposium on Principles of Distributed Computing,August 12-15,2007,Portland,USA. New York:ACM Press, 2007: 398-407. |
[6] | HUNT P , KONAR M , JUNQUEIRA F P ,et al. ZooKeeper:wait-free coordination for Internet-scale systems[C]// USENIX Annual Technical Conference,June 23-25,2010,Boston,USA.[S.l.:s.n]. 2010. |
[7] | ONGARO D , OUSTERHOUT J . In search of an understandable consensus algorithm[C]// 2014 USENIX Annual Technical Conference,Junuary 17-20,2014,Philadelphia,USA.[S.l.:s.n. ], 2014: 305-319. |
[8] | LAMPORT L . Fast Paxos[J]. Distributed Computing, 2006,19(2): 79-103. |
[9] | ZHAO W . Fast Paxos made easy:theory and implementation[J]. International Journal of Distributed Systems and Technologies (IJDST), 2015,6(1): 15-33. |
[10] | LAMPORT L B . Generalized Paxos:U.S.patent 7698465[P].2010-04-13. |
[11] | SUTRA P , SHAPIRO M . Fast genuine generalized consensus[C]// 2011 IEEE 30th International Symposium on Reliable Distributed Systems,October 4-7,2011,Madrid,Spain. Piscataway:IEEE Press, 2011: 255-264. |
[12] | MORARU I , ANDERSEN D G , KAMINSKY M . There is more consensus in egalitarian parliaments[C]// The 24th ACM Symposium on Operating Systems Principles,November 3-6,2013,Farminton,USA. New York:ACM Press, 2013: 358-372. |
[13] | BURROWS M , . The chubby lock service for loosely-coupled distributed systems[C]// The 7th Symposium on Operating Systems Design and Implementation,November 6-8,2006,Seattle,USA. Berkeley:USENIX Association, 2006: 335-350. |
[14] | BAKER J , BOND C , CORBETT J C ,et al. Megastore:providing scalable,highly available storage forinter active services[C]// The 5th Biennial CIDR Conference,January 9-11,2011,Asilomar,USA.[S.l.:s.n]. 2011: 223-234. |
[15] | HUNT P , KONAR M , JUNQUEIRA F P ,et al. ZooKeeper:wait-free coordination for internet-scalesystems[C]// USENIX Annual Technical Conference,June 23-25,2010,Boston,USA. Berkeley:USENIX Association, 2010. |
[16] | GUO C , WU H , DENG Z ,et al. RDMA over commodity ethernet at scale[C]// The 2016 ACM SIGCOMM Conference,August 22-26,2016,Florianopolis,Brazil. New York:ACM Press, 2016: 202-215. |
[17] | TSAI S Y , ZHANG Y . Lite kernel RDMA support for datacenter applications[C]// The 26th Symposium on Operating Systems Principles,October 28-31,2017,Shanghai,China. New York:ACM Press, 2017: 306-324. |
[18] | MACARTHUR P , RUSSELL R D . A performance study to guide RDMA programming decisions[C]// 2012 IEEE 14th International Conference on High Performance Computing and Communication,June 25-27,2012,Liverpool,UK. Piscataway:IEEE Press, 2012: 778-785. |
[19] | CHEN A . A review of emerging nonvolatile memory (NVM) technologies and applications[J]. Solid-State Electronics, 2016(125): 25-38. |
[20] | MAOW , LIU JN , TONG W ,et al. A review of storage technology research based on phase change memory[J]. Chinese Journal of Computers, 2015,38(5):944. |
[21] | WANG C , JIANG J , CHEN X ,et al. Apus:fast and scalable Paxos on RDMA[C]// The 2017 Symposiumon Cloud Computing,September 25-27,2017,Santa Clara,USA. New York:ACM Press, 2017: 94-107. |
[22] | KIM D , MEMARIPOUR A , BADAM A ,et al. Hyperloop:group-based NIC-offloading to accelerate replicated transactions in multi-tenant storage systems[C]// The 2018 Conference of the ACM Special Interest Group on Data Communication,August 20-25,2018,Budapest,Hungary. New York:ACM Press, 2018: 297-312. |
[23] | DANG H T , SCIASCIA D , CANINI M ,et al. Netpaxos:consensus at network speed[C]// The 1st ACM SIGCOMM Symposium on Software Defined Networking Research,June 17-18,2015,Santa Clara,USA. New York:ACM Press, 2015. |
[24] | MCKEOWN N , ANDERSON T , BALAKRISHNAN H ,et al. OpenFlow:enabling innovation in campus networks[J]. ACM SIGCOMM Computer Communication Review, 2008,38(2): 69-74. |
[25] | LI J , MICHAEL E , SHARMA N K ,et al. Just say noto Paxos overhead:replacing consensus with network ordering[C]// The 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI16),November 2-4,2016,Savannah,USA. Berkeley:USENIX Association, 2016: 467-483. |
[26] | BOSSHART P , DALY D , GIBB G ,et al. P4:programming protocol-independent packet processors[J]. ACM SIGCOMM Computer Communication Review, 2014,44(3): 87-95. |
[27] | DANG H T , CANINI M , PEDONE F ,et al. Paxos made switch-y[J]. ACM SIGCOMM Computer Communication Review, 2016,46(2): 18-24. |
[28] | SULAIMAN N , OBAID Z A , MARHABAN M ,et al. Design and implementation of FPGAbased systems-areview[J]. Australian Journal of Basic and Applied Sciences, 2009,3(4): 3575-3596. |
[29] | ISTVáN Z , SIDLER D , ALONSO G ,et al. Consensus in a box:inexpensive coordination in hardware[C]// The 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI16),March 16-18,2016,Santa Clara,USA. Berkeley:USENIX Association, 2016: 425-438. |
[30] | POKE M , HOEFLER T . DARE:highperformance state machine replication on RDMA networks[C]// The 24th International Symposium on High-Performance Parallel and Distributed Computing,June 15-19,2015,Portland,USA. New York:ACM Press, 2015: 107-118. |
[31] | TALEB Y , STUTSMAN R , ANTONIU G ,et al. Tailwind:fast and atomic RDMA-based replication[C]// The 2018 USENIX Annual Technical Conference,July 11-13,2018,Boston,USA.[S.l.:s.n. ], 2018: 851-863. |
[32] | PANDA D K , KOOP M , BALAJI P . Tutorial:infiniband and 10-Gigabit Ethernet for dummies[C]// IEEE Symposium on High Performance Interconnects,August 25-27,2009,New York,USA. Piscataway:IEEE Press, 2009. |
[1] | Haihong QIAN, Maoyi WANG, Yun XIONG. Digital transformation in higher education:a systematic review [J]. Big Data Research, 2023, 9(3): 56-70. |
[2] | Hong MEI, Xiaoyong DU, Hai JIN, Xueqi CHENG, Yunpeng CHAI, Xuanhua SHI, Xiaolong JIN, Yasha WANG, Chi LIU. Big data technologies forward-looking [J]. Big Data Research, 2023, 9(1): 1-20. |
[3] | Yang SHEN, Menglong YU. Metaverse and big data: data insight and value connection in spatio-temporal intelligence [J]. Big Data Research, 2023, 9(1): 103-110. |
[4] | Tongzheheng ZHENG, Bin LI, Minxuan FENG, Bolin CHANG, Dongbo WANG. Explore the structuration of historical books:the construction and quantitative analysis of digital humanities database of the Biographies of the Shiji [J]. Big Data Research, 2022, 8(6): 40-55. |
[5] | Jing CHEN. Humanities big data and its application in the field of digital humanities [J]. Big Data Research, 2022, 8(6): 3-14. |
[6] | Yuchu LUO, Hao WU, Yuhan GUO, Shaocong TAN, Can LIU, Ruike JIANG, Xiaoru YUAN. Visualization in digital humanities [J]. Big Data Research, 2022, 8(6): 74-93. |
[7] | Wenlong LI, Yuan YUAN, Xiaopeng AN. Modus operandi of big data governance: some preliminary observations [J]. Big Data Research, 2022, 8(4): 34-45. |
[8] | Qifeng TANG, Zhiqing SHAO, Yazhen YE. Authenticating and licensing architecture of data rights in data trade [J]. Big Data Research, 2022, 8(3): 40-53. |
[9] | Chenhuizi WANG, Wei CAI. Digital economics in metaverse: state-of-the-art, characteristics, and vision [J]. Big Data Research, 2022, 8(3): 140-150. |
[10] | Mei YANG, Wei LI, Siyuan QIAO, Wei LIU. Research on calculation method of China’s big data industry output value [J]. Big Data Research, 2022, 8(3): 151-160. |
[11] | Deren LI, Guo ZHANG, Yonghua JIANG, Xin SHEN, Weiling LIU. Opportunities and challenges of geo-spatial information science from the perspective of big data [J]. Big Data Research, 2022, 8(2): 3-14. |
[12] | Xiaolan QIU, Yuxin HU, Songtao SHANGGUAN, Kun FU. Remote sensing satellite big data high-recision integration processing technology [J]. Big Data Research, 2022, 8(2): 15-27. |
[13] | Weiquan LIU, Cheng WANG, Yu ZANG, Qian HU, Shangshu YU, Baiqi LAI. A survey on information extraction technology based on remote sensing big data [J]. Big Data Research, 2022, 8(2): 28-57. |
[14] | Jianqiang LIU, Xiaomin YE, Youguo LAN. Remote sensing big data from Chinese ocean satellites and its application service [J]. Big Data Research, 2022, 8(2): 75-88. |
[15] | Hequn YANG, Xiaofeng WANG, Yanqing GAO, Yiwen LU, Bingxin MA, Xinyao WANG. Analysis of satellite big data requirements in numerical weather prediction [J]. Big Data Research, 2022, 8(2): 89-102. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|