分布式系统领域经典论文翻译集

女爷i 2022-02-01 04:29 365阅读 0赞

文/[phylips@bmy][phylips_bmy]

[分布式领域论文译序][Link 1]

[sql&nosql年代记][sql_nosql]

[SMAQ：海量数据的存储计算和查询][SMAQ]

一．google论文系列

1. [google系列论文译序][google]

2. [The anatomy of a large-scale hypertextual Web search engine (译 zz)][The anatomy of a large-scale hypertextual Web search engine _ zz]

3. [web search for a planet :the google cluster architecture(译)][web search for a planet _the google cluster architecture]

4. [GFS：google文件系统 (译)][GFS_google_]

5. [MapReduce: Simplied Data Processing on Large Clusters (译)][MapReduce_ Simplied Data Processing on Large Clusters]

6. [Bigtable: A Distributed Storage System for Structured Data (译)][Bigtable_ A Distributed Storage System for Structured Data]

7. [Chubby: The Chubby lock service for loosely-coupled distributed systems (译)][Chubby_ The Chubby lock service for loosely-coupled distributed systems]

8. [Sawzall:Interpreting the Data--Parallel Analysis with Sawzall (译 zz)][Sawzall_Interpreting the Data--Parallel Analysis with Sawzall _ zz]

9. [Pregel: A System for Large-Scale Graph Processing (译)][Pregel_ A System for Large-Scale Graph Processing]

10. [Dremel: Interactive Analysis of WebScale Datasets(译zz)][Dremel_ Interactive Analysis of WebScale Datasets_zz]

11. [Percolator: Large-scale Incremental Processing Using Distributed Transactions and Notifications(译zz)][Percolator_ Large-scale Incremental Processing Using Distributed Transactions and Notifications_zz]

12. [MegaStore: Providing Scalable, Highly Available Storage for Interactive Services(译zz)][MegaStore_ Providing Scalable_ Highly Available Storage for Interactive Services_zz]

13. [Case Study GFS: Evolution on Fast-forward (译)][Case Study GFS_ Evolution on Fast-forward]

14. [Google File System II: Dawn of the Multiplying Master Nodes][Google File System II_ Dawn of the Multiplying Master Nodes]

15. [Tenzing - A SQL Implementation on the MapReduce Framework (译)][Tenzing - A SQL Implementation on the MapReduce Framework]

16. [F1-The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business][F1-The Fault-Tolerant Distributed RDBMS Supporting Google_s Ad Business]

17. [ Elmo: Building a Globally Distributed, Highly Available Database][Elmo_ Building a Globally Distributed_ Highly Available Database]

18. [PowerDrill：Processing a Trillion Cells per Mouse Click][PowerDrill_Processing a Trillion Cells per Mouse Click]

19. [Google-Wide Profiling:A Continuous Profiling Infrastructure for Data Centers][Google-Wide Profiling_A Continuous Profiling Infrastructure for Data Centers]

20. [Spanner: Google’s Globally-Distributed Database(译zz)][Spanner_ Google_s Globally-Distributed Database_zz]

21. [Dapper, a Large-Scale Distributed Systems Tracing Infrastructure(笔记)][Dapper_ a Large-Scale Distributed Systems Tracing Infrastructure]

22. [Omega: flexible, scalable schedulers for large compute clusters][Omega_ flexible_ scalable schedulers for large compute clusters]

23. [CPI2: CPU performance isolation for shared compute clusters][CPI2_ CPU performance isolation for shared compute clusters]

24. [Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams(译)][Photon_ Fault-tolerant and Scalable Joining of Continuous Data Streams]

25. [F1: A Distributed SQL Database That Scales][F1_ A Distributed SQL Database That Scales]

26. [MillWheel: Fault-Tolerant Stream Processing at Internet Scale(译)][MillWheel_ Fault-Tolerant Stream Processing at Internet Scale]

27. [ B4: Experience with a Globally-Deployed Software Defined WAN][B4_ Experience with a Globally-Deployed Software Defined WAN]

28. [The Datacenter as a Computer][]

29. [Google brain-Building High-level Features Using Large Scale Unsupervised Learning][]

[google系列论文翻译集(合集)][google 1]

二．分布式理论系列

00. Appraising Two Decades of Distributed Computing Theory Research

0. [分布式理论系列译序  
][Link 2]

1. [A brief history of Consensus\_ 2PC and Transaction Commit (译)][A brief history of Consensus_ 2PC and Transaction Commit]

2. [拜占庭将军问题 (译)][Link 3] \--Leslie Lamport

3. [Impossibility of distributed consensus with one faulty process (译)][Impossibility of distributed consensus with one faulty process]

4. [Leases：租约机制 (译)][Leases_]

5. [Time Clocks and the Ordering of Events in a Distributed System(译)][Time Clocks and the Ordering of Events in a Distributed System] \--Leslie Lamport

6. [关于Paxos的历史][Paxos]

7. [The Part Time Parliament (译 zz)][The Part Time Parliament _ zz] \--Leslie Lamport

8. [How to Build a Highly Available System Using Consensus(译)][How to Build a Highly Available System Using Consensus]

9. [Paxos Made Simple (译)][Paxos Made Simple] \--Leslie Lamport

10. [Paxos Made Live - An Engineering Perspective(译)][Paxos Made Live - An Engineering Perspective]

11. [2 Phase Commit(译)][2 Phase Commit]

12. [Consensus on Transaction Commit(译)][Consensus on Transaction Commit] \--Jim Gray & Leslie Lamport

13. [Why Do Computers Stop and What Can Be Done About It?(译)][Why Do Computers Stop and What Can Be Done About It] \--Jim Gray

14. [On Designing and Deploying Internet-Scale Services(译)][On Designing and Deploying Internet-Scale Services] \--James Hamilton

15. [Single-Message Communication(译)][Single-Message Communication]

16. Implementing fault-tolerant services using the state machine approach

17. Problems, Unsolved Problems and Problems in Concurrency  
18. Hints for Computer System Design

19. Self-stabilizing systems in spite of distributed control  
20. Wait-Free Synchronization

21. White Paper Introduction to IEEE 1588 & Transparent Clocks

22. Unreliable Failure Detectors for Reliable Distributed Systems  
23. [Life beyond Distributed Transactions:an Apostate’s Opinion(译zz)][Life beyond Distributed Transactions_an Apostate_s Opinion_zz]

24. Distributed Snapshots: Determining Global States of a Distributed System --Leslie Lamport

25. Virtual Time and Global States of Distributed Systems

26. Timestamps in Message-Passing Systems That Preserve the Partial Ordering

27. Fundamentals of Distributed Computing:A Practical Tour of Vector Clock Systems

28. Knowledge and Common Knowledge in a Distributed Environment

29. Understanding Failures in Petascale Computers

30. Why Do Internet services fail, and What Can Be Done About It?

31. End-To-End Arguments in System Design

32. Rethinking the Design of the Internet: The End-to-End Arguments vs. the Brave New World

33. [The Design Philosophy of the DARPA Internet Protocols(译zz)][The Design Philosophy of the DARPA Internet Protocols_zz]

34. Uniform consensus is harder than consensus

35. Paxos made code - Implementing a high throughput Atomic Broadcast

36. [RAFT:In Search of an Understandable Consensus Algorithm][RAFT_In Search of an Understandable Consensus Algorithm]

[分布式理论系列论文翻译集(合集)][Link 4]

三．数据库理论系列

0. A Relational Model of Data for Large Shared Data Banks --E.F.Codd 1970

1. SEQUEL：A Structured English Query Language 1974

2. Implentation of a Structured English Query Language 1975

3. A System R: Relational Approach to Database Management 1976

4. Granularity of Locks and Degrees of Consistency in a Shared DataBase --Jim Gray 1976

5. Access Path Selection in a RDBMS 1979

6. The Transaction Concept:Virtues and Limitations --Jim Gray

7. 2pc-2阶段提交：Notes on Data Base Operating Systems --Jim Gray

8. 3pc-3阶段提交：NONBLOCKING COMMIT PROTOCOLS

9. MVCC：Multiversion Concurrency Control-Theory and Algorithms --1983

10. ARIES: A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging-1992

11. A Comparison of the Byzantine Agreement Problem and the Transaction Commit Problem --Jim Gray

12. A Formal Model of Crash Recovery in a Distributed System - Skeen, D. Stonebraker

13. What Goes Around Comes Around - Michael Stonebraker, Joseph M. Hellerstein

14. Anatomy of a Database System -Joseph M. Hellerstein, Michael Stonebraker

15. [Architecture of a Database System(译zz)][Architecture of a Database System_zz] \-Joseph M. Hellerstein, Michael Stonebraker, James Hamilton

四．大规模存储与计算(NoSql理论系列)

0. Towards Robust Distributed Systems：Brewer's 2000 PODC key notes

1. [CAP理论][CAP]

2. Harvest, Yield, and Scalable Tolerant Systems

3. [关于CAP][CAP 1]

4. [BASE模型：BASE an Acid Alternative][BASE_BASE an Acid Alternative]

5. [最终一致性][Link 5]

6. [可扩展性设计模式][Link 6]

7. [可伸缩性原则][Link 7]

8. [NoSql生态系统][NoSql]

9. [scalability-availability-stability-patterns][]

10. [The 5 Minute Rule and the 5 Byte Rule (译)][The 5 Minute Rule and the 5 Byte Rule]

11. [The Five-Minute Rule Ten Years Later and Other Computer Storage Rules of Thumb][]

12. The Five-Minute Rule 20 Years Later(and How Flash Memory Changes the Rules)

13. [关于MapReduce的争论][MapReduce]

14. [MapReduce：一个巨大的倒退][MapReduce 1]

15. [MapReduce：一个巨大的倒退(II)][MapReduce_II]

16. [MapReduce和并行数据库，朋友还是敌人？(zz)][MapReduce_zz]

17. [MapReduce and Parallel DBMSs-Friends or Foes (译)][MapReduce and Parallel DBMSs-Friends or Foes]

18. [MapReduce:A Flexible Data Processing Tool (译)][MapReduce_A Flexible Data Processing Tool]

19. [A Comparision of Approaches to Large-Scale Data Analysis (译)][A Comparision of Approaches to Large-Scale Data Analysis]

20. [MapReduce Hold不住？(zz)][MapReduce Hold_zz]

21. [Beyond MapReduce：图计算概览][Beyond MapReduce]

22. [Map-Reduce-Merge: simplified relational data processing on large clusters][Map-Reduce-Merge_ simplified relational data processing on large clusters]

23. [MapReduce Online][]

24. [Graph Twiddling in a MapReduce World][]

25. [Spark: Cluster Computing with Working Sets][Spark_ Cluster Computing with Working Sets]

26. [Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing][Resilient Distributed Datasets_ A Fault-Tolerant Abstraction for In-Memory Cluster Computing]

27. [Big Data Lambda Architecture][]

28. [The 8 Requirements of Real-Time Stream Processing][]

29. [The Log: What every software engineer should know about real-time data's unifying abstraction][The Log_ What every software engineer should know about real-time data_s unifying abstraction]

30. [Lessons from Giant-Scale Services][]

五．基本算法和数据结构

1. [大数据量，海量数据处理方法总结][Link 8]

2. 大数据量，海量数据处理方法总结(续)

3. Consistent Hashing And Random Trees

4. [Merkle Trees][]

5. Scalable Bloom Filters

6. Introduction to Distributed Hash Tables

7. B-Trees and Relational Database Systems

8. [The log-structured merge-tree (译)][The log-structured merge-tree]

9. [lock free data structure][]

10. Data Structures for Spatial Database

11. Gossip

12. [lock free algorithm][]

13. The Graph Traversal Pattern

六．基本系统和实践经验

1. [MySQL索引背后的数据结构及算法原理][MySQL]

2. [Dynamo: Amazon’s Highly Available Key-value Store (译zz)][Dynamo_ Amazon_s Highly Available Key-value Store _zz]

3. [Cassandra - A Decentralized Structured Storage System (译zz)][Cassandra - A Decentralized Structured Storage System _zz]

4. [PNUTS: Yahoo!’s Hosted Data Serving Platform (译zz)][PNUTS_ Yahoo_s Hosted Data Serving Platform _zz]

5. [Yahoo!的分布式数据平台PNUTS简介及感悟(zz)][Yahoo_PNUTS_zz]

6. [LevelDB：一个快速轻量级的key-value存储库(译)][LevelDB_key-value]

7. [LevelDB理论基础][LevelDB]

8. [LevelDB：实现(译)][LevelDB 1]

9. [LevelDB SSTable格式详解][LevelDB SSTable]

10. [ LevelDB Bloom Filter实现][LevelDB Bloom Filter]

11. [Sawzall原理与应用][Sawzall]

12. [Storm原理与实现][Storm]

13. [Designs, Lessons and Advice from Building Large Distributed Systems][Designs_ Lessons and Advice from Building Large Distributed Systems] \--Jeff Dean

14. [Challenges in Building Large-Scale Information Retrieval Systems][] \--Jeff Dean

15. [Experiences with MapReduce, an Abstraction for Large-Scale Computation][Experiences with MapReduce_ an Abstraction for Large-Scale Computation] \--Jeff Dean

16. [Taming Service Variability,Building Worldwide Systems,and Scaling Deep Learning][Taming Service Variability_Building Worldwide Systems_and Scaling Deep Learning] \--Jeff Dean

17. [Large-Scale Data and Computation:Challenges and Opportunitis][Large-Scale Data and Computation_Challenges and Opportunitis] \--Jeff Dean

18. [Achieving Rapid Response Times in Large Online Services][] \--Jeff Dean

19. [The Tail at Scale(译)][The Tail at Scale] \--Jeff Dean & Luiz André Barroso

20. [How To Design A Good API and Why it Matters][]

21. [Event-Based Systems:Architect's Dream or Developer's Nightmare?][Event-Based Systems_Architect_s Dream or Developer_s Nightmare]

22. [Autopilot: Automatic Data Center Management][Autopilot_ Automatic Data Center Management]

七．其他辅助系统

1. [The ganglia distributed monitoring system:design, implementation, and experience][The ganglia distributed monitoring system_design_ implementation_ and experience]

2. [Chukwa: A large-scale monitoring system][Chukwa_ A large-scale monitoring system]

3. [Scribe : a way to aggregate data and why not, to directly fill the HDFS?][Scribe _ a way to aggregate data and why not_ to directly fill the HDFS]

4. [Benchmarking Cloud Serving Systems with YCSB][]

5. [Dynamo Dremel ZooKeeper Hive 简述][Dynamo Dremel ZooKeeper Hive]

八. Hadoop相关

0. [Hadoop Reading List][]

1. [The Hadoop Distributed File System(译)][The Hadoop Distributed File System]

2. [HDFS scalability:the limits to growth(译)][HDFS scalability_the limits to growth]

3. [Name-node memory size estimates and optimization proposal.][]

4. [HBase Architecture(译)][HBase Architecture]

5. [HFile：A Block-Indexed File Format to Store Sorted Key-Value Pairs][HFile_A Block-Indexed File Format to Store Sorted Key-Value Pairs]

6. [HFile V2][]

7. Hive - A Warehousing Solution Over a Map-Reduce Framework

8. [Hive – A Petabyte Scale Data Warehouse Using Hadoop][Hive _ A Petabyte Scale Data Warehouse Using Hadoop]

9. [HIVE RCFile高效存储结构][HIVE RCFile]

10. ZooKeeper: Wait-free coordination for Internet-scale systems

11. The life and times of a zookeeper

12. [Avro: 大数据的数据格式(zz)][Avro_ _zz]

13. [Apache Hadoop Goes Realtime at Facebook (译)][Apache Hadoop Goes Realtime at Facebook]

14. [Hadoop平台优化综述(zz)][Hadoop_zz]

15. [The Anatomy of Hadoop I/O Pipeline (译)][The Anatomy of Hadoop I_O Pipeline]

16. [Hadoop公平调度器指南(zz)][Hadoop_zz 1]

17. [下一代Apache Hadoop MapReduce][Apache Hadoop MapReduce]

18. [Apache Hadoop 0.23][]

九．深入理解计算机系统

十．其他

On Computable Numbers with an Application to the Entscheidungsproblem-1936.5.28-A.M.Turing

The First Draft Report on the EDVAC-1945.6.30-John von Neumann

Reflections on Trusting Trust --Ken Thompson

Who Needs an Architect?

Go To statements considered harmfull --Edsger W.Dijkstra

No Silver Bullet Essence and Accidents of Software Engineering --Frederick P. Brooks

出处：[http://duanple.blog.163.com/blog/static/709717672011330101333271/][http_duanple.blog.163.com_blog_static_709717672011330101333271]

[phylips_bmy]: mailto:phylips@bmy
[Link 1]: http://duanple.blog.163.com/blog/static/70971767201133011171419/
[sql_nosql]: http://duanple.blog.163.com/blog/static/70971767201102944512890/
[SMAQ]: http://duanple.blog.163.com/blog/static/709717672011016103028473/
[google]: http://duanple.blog.163.com/blog/static/70971767201143114111261/
[The anatomy of a large-scale hypertextual Web search engine _ zz]: http://duanple.blog.163.com/blog/static/709717672011423105543296/
[web search for a planet _the google cluster architecture]: http://duanple.blog.163.com/blog/static/70971767201091102339246/
[GFS_google_]: http://duanple.blog.163.com/blog/static/7097176720109145829346/
[MapReduce_ Simplied Data Processing on Large Clusters]: http://duanple.blog.163.com/blog/static/709717672010923203501/
[Bigtable_ A Distributed Storage System for Structured Data]: http://duanple.blog.163.com/blog/static/709717672010961173782/
[Chubby_ The Chubby lock service for loosely-coupled distributed systems]: http://duanple.blog.163.com/blog/static/70971767201142412058672/
[Sawzall_Interpreting the Data--Parallel Analysis with Sawzall _ zz]: http://duanple.blog.163.com/blog/static/7097176720101016971064/
[Pregel_ A System for Large-Scale Graph Processing]: http://duanple.blog.163.com/blog/static/70971767201281610126277/
[Dremel_ Interactive Analysis of WebScale Datasets_zz]: http://duanple.blog.163.com/blog/static/709717672011515115014258/
[Percolator_ Large-scale Incremental Processing Using Distributed Transactions and Notifications_zz]: http://duanple.blog.163.com/blog/static/70971767201151805634282/
[MegaStore_ Providing Scalable_ Highly Available Storage for Interactive Services_zz]: http://duanple.blog.163.com/blog/static/709717672011515113727309/
[Case Study GFS_ Evolution on Fast-forward]: http://duanple.blog.163.com/blog/static/7097176720117611327190/
[Google File System II_ Dawn of the Multiplying Master Nodes]: http://duanple.blog.163.com/blog/static/709717672010111824914424/
[Tenzing - A SQL Implementation on the MapReduce Framework]: http://duanple.blog.163.com/blog/static/70971767201192484915767/
[F1-The Fault-Tolerant Distributed RDBMS Supporting Google_s Ad Business]: http://research.google.com/pubs/pub38125.html
[Elmo_ Building a Globally Distributed_ Highly Available Database]: https://www.usenix.org/conference/osdi12/elmo-building-globally-distributed-highly-available-database
[PowerDrill_Processing a Trillion Cells per Mouse Click]: http://vldb.org/pvldb/vol5/p1436_alexanderhall_vldb2012.pdf
[Google-Wide Profiling_A Continuous Profiling Infrastructure for Data Centers]: http://research.google.com/pubs/pub36575.html
[Spanner_ Google_s Globally-Distributed Database_zz]: http://dblab.xmu.edu.cn/content/google-spanner-%E4%B8%AD%E6%96%87%E7%89%88
[Dapper_ a Large-Scale Distributed Systems Tracing Infrastructure]: http://duanple.blog.163.com/blog/static/70971767201329113141336/
[Omega_ flexible_ scalable schedulers for large compute clusters]: http://eurosys2013.tudos.org/wp-content/uploads/2013/paper/Schwarzkopf.pdf
[CPI2_ CPU performance isolation for shared compute clusters]: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/40737.pdf
[Photon_ Fault-tolerant and Scalable Joining of Continuous Data Streams]: http://duanple.blog.163.com/blog/static/70971767201382591541823/
[F1_ A Distributed SQL Database That Scales]: http://research.google.com/pubs/pub41344.html
[MillWheel_ Fault-Tolerant Stream Processing at Internet Scale]: http://duanple.blog.163.com/blog/static/709717672013918101253853/
[B4_ Experience with a Globally-Deployed Software Defined WAN]: http://124.202.164.11/download/49702186/72801301/1/pdf/83/25/1375723270483_281/b4-sigcomm13.pdf
[The Datacenter as a Computer]: http://www.morganclaypool.com/doi/abs/10.2200/S00516ED2V01Y201306CAC024
[Google brain-Building High-level Features Using Large Scale Unsupervised Learning]: http://research.google.com/pubs/pub38115.html
[google 1]: http://phylips.iteye.com/blog/1142129
[Link 2]: http://duanple.blog.163.com/blog/static/7097176720112633427667/
[A brief history of Consensus_ 2PC and Transaction Commit]: http://duanple.blog.163.com/blog/static/70971767201103051639551/
[Link 3]: http://duanple.blog.163.com/blog/static/7097176720112643946178/
[Impossibility of distributed consensus with one faulty process]: http://duanple.blog.163.com/blog/static/70971767201122011858775/
[Leases_]: http://duanple.blog.163.com/blog/static/70971767201141111440789/
[Time Clocks and the Ordering of Events in a Distributed System]: http://duanple.blog.163.com/blog/static/709717672012920101343237/
[Paxos]: http://duanple.blog.163.com/blog/static/709717672012112203543166/
[The Part Time Parliament _ zz]: http://wenku.baidu.com/view/87276e1dfad6195f312ba6d7.html
[How to Build a Highly Available System Using Consensus]: http://duanple.blog.163.com/blog/static/709717672012102185013508/
[Paxos Made Simple]: http://duanple.blog.163.com/blog/static/709717672011440267333/
[Paxos Made Live - An Engineering Perspective]: http://duanple.blog.163.com/blog/static/7097176720121123114918404/
[2 Phase Commit]: http://duanple.blog.163.com/blog/static/70971767201311810939564/
[Consensus on Transaction Commit]: http://duanple.blog.163.com/blog/static/70971767201419111256135/
[Why Do Computers Stop and What Can Be Done About It]: http://duanple.blog.163.com/blog/static/7097176720134189481819/
[On Designing and Deploying Internet-Scale Services]: http://duanple.blog.163.com/blog/static/70971767201352105348729/
[Single-Message Communication]: http://duanple.blog.163.com/blog/static/70971767201310194243109/
[Life beyond Distributed Transactions_an Apostate_s Opinion_zz]: http://www.cnblogs.com/RicCC/archive/2008/03/30/life-beyond-distributed-transactions.html
[The Design Philosophy of the DARPA Internet Protocols_zz]: http://www.valleytalk.org/wp-content/uploads/2013/12/%E4%BA%92%E8%81%94%E7%BD%91%E6%9E%B6%E6%9E%84%E7%9A%84%E8%AE%BE%E8%AE%A1%E5%93%B2%E5%AD%A6V1.0.pdf
[RAFT_In Search of an Understandable Consensus Algorithm]: https://ramcloud.stanford.edu/wiki/download/attachments/11370504/raft.pdf
[Link 4]: http://vdisk.weibo.com/s/s55H8
[Architecture of a Database System_zz]: http://dblab.xmu.edu.cn/node/459
[CAP]: http://duanple.blog.163.com/blog/static/7097176720114733655390/
[CAP 1]: http://duanple.blog.163.com/blog/static/7097176720124610954196/
[BASE_BASE an Acid Alternative]: http://duanple.blog.163.com/blog/static/709717672011631101917811/
[Link 5]: http://duanple.blog.163.com/blog/static/7097176720114733211308/
[Link 6]: http://duanple.blog.163.com/blog/static/7097176720114741728720/
[Link 7]: http://duanple.blog.163.com/blog/static/7097176720114741446766/
[NoSql]: http://blog.nosqlfan.com/html/2171.html
[scalability-availability-stability-patterns]: http://www.slideshare.net/jboner/scalability-availability-stability-patterns
[The 5 Minute Rule and the 5 Byte Rule]: http://duanple.blog.163.com/blog/static/70971767201182422254593/
[The Five-Minute Rule Ten Years Later and Other Computer Storage Rules of Thumb]: http://research.microsoft.com/en-us/um/people/gray/5_min_rule_SIGMOD.pdf
[MapReduce]: http://duanple.blog.163.com/blog/static/70971767201197943651/
[MapReduce 1]: http://duanple.blog.163.com/blog/static/7097176720114741011622/
[MapReduce_II]: http://databasecolumn.vertica.com/database-innovation/mapreduce-ii/
[MapReduce_zz]: http://duanple.blog.163.com/blog/static/7097176720118179143877/
[MapReduce and Parallel DBMSs-Friends or Foes]: http://duanple.blog.163.com/blog/static/7097176720119720494/
[MapReduce_A Flexible Data Processing Tool]: http://duanple.blog.163.com/blog/static/7097176720119711038980/
[A Comparision of Approaches to Large-Scale Data Analysis]: http://duanple.blog.163.com/blog/static/7097176720119701941950/
[MapReduce Hold_zz]: http://duanple.blog.163.com/blog/static/709717672011917111657826/
[Beyond MapReduce]: http://duanple.blog.163.com/blog/static/7097176720123215230365/
[Map-Reduce-Merge_ simplified relational data processing on large clusters]: http://www.baidu.com/link?url=kWUKGJqjJ4zBBpC8yDF8xDhjwDudB6dcEG2BdokOLdyqK527TConghQwAzXrjXaPP603AYbihVpwQZFn4aqDLT_bSHRWmS50zLPr-GRpvdbuN_HDVnYCH_
[MapReduce Online]: http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-136.html
[Graph Twiddling in a MapReduce World]: http://www.cse.usf.edu/~anda/CIS6930-S11/papers/graph-processing-w-mapreduce.pdf
[Spark_ Cluster Computing with Working Sets]: http://static.usenix.org/event/hotcloud10/tech/full_papers/Zaharia.pdf
[Resilient Distributed Datasets_ A Fault-Tolerant Abstraction for In-Memory Cluster Computing]: http://www.cs.berkeley.edu/~matei/papers/2011/tr_spark.pdf
[Big Data Lambda Architecture]: http://www.databasetube.com/database/big-data-lambda-architecture/
[The 8 Requirements of Real-Time Stream Processing]: http://cs.brown.edu/~ugur/8rulesSigRec.pdf
[The Log_ What every software engineer should know about real-time data_s unifying abstraction]: http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
[Lessons from Giant-Scale Services]: http://www.cs.berkeley.edu/~brewer/papers/GiantScale-IEEE.pdf
[Link 8]: http://duanple.blog.163.com/blog/static/7097176720091026458369/
[Merkle Trees]: http://www.rsa.com/rsalabs/node.asp?id=2003
[The log-structured merge-tree]: http://duanple.blog.163.com/blog/static/7097176720120391321283/
[lock free data structure]: http://www.cnblogs.com/lucifer1982/archive/2009/04/08/1431992.html
[lock free algorithm]: http://www.blogjava.net/zellux/archive/2009/03/17/260323.html
[MySQL]: http://www.cnblogs.com/leoo2sk/archive/2011/07/10/mysql-index.html
[Dynamo_ Amazon_s Highly Available Key-value Store _zz]: http://duanple.blog.163.com/blog/static/709717672011513111427410/
[Cassandra - A Decentralized Structured Storage System _zz]: http://duanple.blog.163.com/blog/static/709717672011513104314620/
[PNUTS_ Yahoo_s Hosted Data Serving Platform _zz]: http://blog.163.com/woshitony111@126/blog/static/7137953920123731631592/
[Yahoo_PNUTS_zz]: http://duanple.blog.163.com/blog/static/709717672011816115956372/
[LevelDB_key-value]: http://duanple.blog.163.com/blog/static/70971767201171705113636/
[LevelDB]: http://duanple.blog.163.com/blog/static/70971767201242491334104/
[LevelDB 1]: http://duanple.blog.163.com/blog/static/70971767201171821616246/
[LevelDB SSTable]: http://pan.baidu.com/s/1d0lia
[LevelDB Bloom Filter]: http://duanple.blog.163.com/blog/static/7097176720123227403134/
[Sawzall]: http://duanple.blog.163.com/blog/static/70971767201262491314721/
[Storm]: http://duanple.blog.163.com/blog/static/7097176720138258405697/
[Designs_ Lessons and Advice from Building Large Distributed Systems]: http://www.cs.cornell.edu/projects/ladis2009/talks/dean-keynote-ladis2009.pdf
[Challenges in Building Large-Scale Information Retrieval Systems]: http://videolectures.net/wsdm09_dean_cblirs/
[Experiences with MapReduce_ an Abstraction for Large-Scale Computation]: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//pubs/archive/32721.pdf
[Taming Service Variability_Building Worldwide Systems_and Scaling Deep Learning]: http://vdisk.weibo.com/s/fdIkQ
[Large-Scale Data and Computation_Challenges and Opportunitis]: http://vdisk.weibo.com/s/os3J0/1359260911
[Achieving Rapid Response Times in Large Online Services]: http://vdisk.weibo.com/s/3MtKT/1333554410
[The Tail at Scale]: http://duanple.blog.163.com/blog/static/7097176720133511217445/
[How To Design A Good API and Why it Matters]: http://v.youku.com/v_show/id_XMzAzNzMwNTcy.html
[Event-Based Systems_Architect_s Dream or Developer_s Nightmare]: http://www.debs.msrg.utoronto.ca/hohpe.pdf
[Autopilot_ Automatic Data Center Management]: http://paperhub.s3.amazonaws.com/e6a99c5b6a2ac68b4b47a0c68c5af4f5.pdf
[The ganglia distributed monitoring system_design_ implementation_ and experience]: http://duanple.blog.163.com/blog/static/70971767201183092413177/
[Chukwa_ A large-scale monitoring system]: http://radlab.cs.berkeley.edu/publication/181
[Scribe _ a way to aggregate data and why not_ to directly fill the HDFS]: http://blog.octo.com/en/scribe-a-way-to-aggregate-data-and-why-not-to-directly-fill-the-hdfs/
[Benchmarking Cloud Serving Systems with YCSB]: http://research.yahoo.com/node/3202
[Dynamo Dremel ZooKeeper Hive]: http://duanple.blog.163.com/blog/static/70971767201192104236129/
[Hadoop Reading List]: http://duanple.blog.163.com/blog/static/7097176720119791920962/
[The Hadoop Distributed File System]: http://duanple.blog.163.com/blog/static/70971767201181744412133/
[HDFS scalability_the limits to growth]: http://duanple.blog.163.com/blog/static/70971767201181745539637/
[Name-node memory size estimates and optimization proposal.]: https://issues.apache.org/jira/browse/HADOOP-1687
[HBase Architecture]: http://duanple.blog.163.com/blog/static/70971767201191661620641/
[HFile_A Block-Indexed File Format to Store Sorted Key-Value Pairs]: http://www.data-works.org/download/hfile.pdf
[HFile V2]: http://duanple.blog.163.com/blog/static/709717672011916103311428/
[Hive _ A Petabyte Scale Data Warehouse Using Hadoop]: http://duanple.blog.163.com/blog/static/70971767201142481216178/
[HIVE RCFile]: http://duanple.blog.163.com/blog/static/70971767201173091353618/
[Avro_ _zz]: http://duanple.blog.163.com/blog/static/7097176720119110133362/
[Apache Hadoop Goes Realtime at Facebook]: http://duanple.blog.163.com/blog/static/7097176720118121573597/
[Hadoop_zz]: http://dongxicheng.org/mapreduce/hadoop-optimization-1/
[The Anatomy of Hadoop I_O Pipeline]: http://duanple.blog.163.com/blog/static/70971767201172902737677/
[Hadoop_zz 1]: http://duanple.blog.163.com/blog/static/709717672011713111832580/
[Apache Hadoop MapReduce]: http://duanple.blog.163.com/blog/static/70971767201163115940355/
[Apache Hadoop 0.23]: http://duanple.blog.163.com/blog/static/70971767201181734984/
[http_duanple.blog.163.com_blog_static_709717672011330101333271]: http://duanple.blog.163.com/blog/static/709717672011330101333271/