(relationship database management. Wang Xiaojiao, Zhang Zhizhong
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1 NoSQL ( ) NoSQL NoSQL ; NoSQL RDBMS ; ; NoSQL NoSQL;RDBMS; A doi: /j.issn (relationship database management system,rdbms) 5,,. E1 [ ], ;., 2011, 35(5): 113~116 NGN 2G/3G/B3G Research and Implementation of IP Traffic Generation Technology for LTE Network Tester Wang Xiaojiao, Zhang Zhizhong (Key Lab on Communication Networks and Testing Technology, Chongqing University of Posts and Telecommunications, Chongqing , China) Abstract For the test requirements for LTE network tester, the IP traffic generation technology was researched and a double-mode IP traffic generator design scheme was provided. The overall platform design architecture, and working principle, the flow control algorithm in performance mode and the software control method of the data update while sending by the use of reading and writing index in simulation mode were introduced. Practical tests and application demonstrated that the IP traffic generator can send the specified IP packets with fixed quantities and speed, and can simulate high-speed network traffic, which has good performance and can well satisfy the demand for IP data acquisition and simulation test. Key words IP traffic generator, performance mode, flow control, simulation mode, reading and writing index ( : ) 23
2 RDBMS :, NoSQL NoSQL, A B Web not only SQL, non-relational database non-sql ( ), 2 NoSQL NoSQL IT Facebook Google (replica) RDBMS, CAP NoSQL NoSQL :CAP Brewer CAP 3, BASE, 1 NoSQL,Brewer,, NoSQL 2.1 CAP NoSQL, Eric Brewer ACM PODC, Brewer, 3 2 Robust CAP CAP Amazon NoSQL 2.2 BASE CAP (consistency) (availability) wikis blogs (partition tolerance) :,CAP, :,, ( ),, ( ) 1 CAP + ( ) 2PC LDAP xfs + ( ) + ( ) Coda( ) DNS 24
3 3 ACID CAP + Postgres MySQL Vertica Aster Data Greenplum + BigTable Hypertable HBase BerkleyDB Scalars Redias MongoDB Terrastore + Dynamo Voldemort TokyoCabinet KAI SimpleDB CouchDB Riak Cassandra Key-value ACID, CAP, BASE BASE ACID BASE DBMS ACID ACID, (A): BASE ACID BASE 2.3 (C): ; (I):, (D): ACID,,, BASE CAP AP, ACID BASE BASE 3 : BASE ( ) ( ) ( ) ACID BASE, 3 /,, ACID, ( ) ( 2PC 25
4 Paxos) CAP quorum) query,,, Cassandra N (0 1 ) (1 ),, Dynamo 2.4 DNS name NoSQL RDBMS, CAP Read Your Own Writes (RYOW)Consistency, CAP ACID BASE BASE ACID Session Consistency ( ), CAP Casual Consistency X, Y Y X Monotonic Read Consistency, RDBMS, RDBMS,NoSQL GFS,, 3 NoSQL Dynamo sloppy quorum, Quorum, NoSQL NoSQL 4 N 4 NoSQL RDBMS,Dynamo Hinted-handoff ( sloppy NoSQL,,NoSQL 26
5 NoSQL GFS GFS chunk metadata server master-slave Big Table multi-dimensional map row index (B + tree like) dependon GFS Cassandra multi-dimensional map row hash/index optional MongoDB document (JSON) document index master-slave CouchDB document (BSON) document index master-master Dynamo blob blob hash sloppy quorum RDBMS,NoSQL 2PC NoSQL?, RDBMS NoSQL? NoSQL RDBMS? NoSQL RDBMS 4.1 RDBMS, 3 : ( ) T P, RDBMS (scale-up) (3),RDBMS, (scale-out) RDBMS, (1) RDBMS, SQL 30 shared-nothing ACID NoSQL 2PC, I/O SQL,SQL ; BI SQL, (2) WAL DBMS Vertica Greenplum BI IBM DB2 RDBMS BI SQL SQL 27
6 KB ps, (2) RDBMS,NoSQL,,,NoSQL (3), RDBMS NoSQL,, 4.3 NoSQL, ; NoSQL, 3 (1)? RDBMS, RDBMS, NoSQL NoSQL,, 4.2 NoSQL NoSQL,NoSQL (2) RDBMS NoSQL OSS, ACID ACID NoSQL NoSQL 3 (1),NoSQL RDBMS,NoSQL,, RDBMS,NoSQL,,,NoSQL NoSQL OSS (open source software), License RDBMS,,NoSQL NHN Cassandra, NoSQL,,NoSQL, RDBMS OSS (3) 5 4 RDBMS NoSQL? 28
7 RDBMS RDBMS, Oracle SQL NoSQL RDBMS YCSB,RDBMS 6.1 ACID NoSQL RDBMS,,RDBMS NoSQL sharding,, OwFS ( ARCUS ) Web Grennplum Aster PostSQL 5.2 NoSQL RDBMS NoSQL? NoSQL RDBMS, NoSQL NoSQL, NoSQL RDBMS ORM 6.2 YCSB YCSB(Yahoo! cloud server benchmark) NoSQL YCSB Yahoo! NoSQL HBase Cassandra MongoDB,Dynamo BigTable NoSQL API RDBMS YCSB,,Hadoop MapReduce 6 NoSQL Benchmarking,, NoSQL YCSB,, NoSQL,, NoSQL NoSQL YCSB,, 29
8 YCSB, NoSQL Internetional Journal of Advanced Engineerin Sceince and Tecnologies, 2011,11(1) VoltDB, 2 Christof S. NoSQL Database. Hochschule Der Medien, Stuttgart, 2011,, 3 Lee K J. What is NoSQL for , 4. : NoSQL, 2011(34) 5 Tudorica B G. A comparison between several NoSQL databases with comments and notes. Roedunet International Conference 7 (RoEduNet), Iasi, Romania, Cattell R. Scalable SQL and NoSQL Data Stores. ACM SIGMOD NoSQL Record, 2011 NoSQL RDBMS 7. NoSQL, NoSQL RDBMS, 2011, 4(7) 8 Michael S. SQL databases vs NoSQL databases. Communications of the ACM, 2010, 53(4) HadoopDB SQL 9 Laurent A, Sala M, Laurent B, et al. Reduce, you say: what, ASTER query MapReduce NoSQL can do for data aggregation and BI in large repositories. NoSQL, 22nd International Workshop on Database and Expert Systems, Applications (DEXA), Tauro C J M, Aravindh S, Shreeharsha A B. Comparative study of thenewgeneration,agile,scalable,highperformance NoSQL databases., International Journal of Computer Applications, 2012, 48(20) 11 Schneider S A. Big data: big challenge, big opportunity Padhy R P, Patra M R, Satapathy S C. RDBMS to NoSQL: reviewing some next-generation non-relational database s... [ ], ; Study on NoSQL Theory and Database Li Fengxiao,Luo Gaosong (Guangzhou Useease Information Technology Co., Ltd., Guangzhou , China) Abstract NoSQL is becoming a popular term among web developers of large corporations, and it seems to be universalization soon. This article focused on the basic concept of NoSQL, based on which a compare between RDBMS and NoSQL was given, then the choice of database in different context was discussed. At last, NoSQL benchmarking was showed to help users to choose NoSQL databases. Key words NoSQL, RDBMS, data management system ( : ) 30
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