众文网1.分布式系统领域有哪些经典论文
分布式领域论文译序sql&nosql年代记SMAQ：海量数据的存储计算和查询一.google论文系列1. google系列论文译序2. The anatomy of a large-scale hypertextual Web search engine （译 zz）3. web search for a planet :the google cluster architecture（译）4. GFS:google文件系统 （译）5. MapReduce: Simplied Data Processing on Large Clusters （译）6. Bigtable: A Distributed Storage System for Structured Data （译）7. Chubby: The Chubby lock service for loosely-coupled distributed systems （译）8. Sawzall:Interpreting the Data--Parallel Analysis with Sawzall （译 zz）9. Pregel: A System for Large-Scale Graph Processing （译）10. Dremel: Interactive Analysis of WebScale Datasets（译zz）11. Percolator: Large-scale Incremental Processing Using Distributed Transactions and Notifications（译zz）12. MegaStore: Providing Scalable, Highly Available Storage for Interactive Services（译zz）13. Case Study GFS: Evolution on Fast-forward （译）14. Google File System II: Dawn of the Multiplying Master Nodes15. Tenzing - A SQL Implementation on the MapReduce Framework （译）16. F1-The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business17. Elmo: Building a Globally Distributed, Highly Available Database18. PowerDrill:Processing a Trillion Cells per Mouse Click19. Google-Wide Profiling:A Continuous Profiling Infrastructure for Data Centers20. Spanner: Google's Globally-Distributed Database（译zz）21. Dapper, a Large-Scale Distributed Systems Tracing Infrastructure（笔记）22. Omega: flexible, scalable schedulers for large compute clusters23. CPI2: CPU performance isolation for shared compute clusters24. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams（译）25. F1: A Distributed SQL Database That Scales26. MillWheel: Fault-Tolerant Stream Processing at Internet Scale（译）27. B4: Experience with a Globally-Deployed Software Defined WAN28. The Datacenter as a Computer29. Google brain-Building High-level Features Using Large Scale Unsupervised Learning30. Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing（译zz）31. Large-scale cluster management at Google with Borg google系列论文翻译集（合集）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1. A brief history of Consensus_ 2PC and Transaction Commit （译）2. 拜占庭将军问题 （译） --Leslie Lamport3. Impossibility of distributed consensus with one faulty process （译）4. Leases：租约机制 （译）5. Time Clocks and the Ordering of Events in a Distributed System（译） --Leslie Lamport6. 关于Paxos的历史7. The Part Time Parliament （译 zz） --Leslie Lamport 8. How to Build a Highly Available System Using Consensus（译）9. Paxos Made Simple （译） --Leslie Lamport10. Paxos Made Live - An Engineering Perspective（译） 11. 2 Phase Commit（译） 12. Consensus on Transaction Commit（译） --Jim Gray & Leslie Lamport 13. Why Do Computers Stop and What Can Be Done About It？（译） --Jim Gray 14. On Designing and Deploying Internet-Scale Services（译） --James Hamilton 15. Single-Message Communication（译）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） 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） 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分布式理论。
2.分布式系统领域有哪些经典论文
分布式领域论文译序 sql&nosql年代记 SMAQ：海量数据的存储计算和查询 一.google论文系列1. google系列论文译序2. The anatomy of a large-scale hypertextual Web search engine （译 zz）3. web search for a planet :the google cluster architecture（译）4. GFS:google文件系统 （译）5. MapReduce: Simplied Data Processing on Large Clusters （译）6. Bigtable: A Distributed Storage System for Structured Data （译）7. Chubby: The Chubby lock service for loosely-coupled distributed systems （译）8. Sawzall:Interpreting the Data--Parallel Analysis with Sawzall （译 zz）9. Pregel: A System for Large-Scale Graph Processing （译）10. Dremel: Interactive Analysis of WebScale Datasets（译zz）11. Percolator: Large-scale Incremental Processing Using Distributed Transactions and Notifications（译zz）12. MegaStore: Providing Scalable, Highly Available Storage for Interactive Services（译zz）13. Case Study GFS: Evolution on Fast-forward （译）14. Google File System II: Dawn of the Multiplying Master Nodes15. Tenzing - A SQL Implementation on the MapReduce Framework （译）16. F1-The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business17. Elmo: Building a Globally Distributed, Highly Available Database18. PowerDrill:Processing a Trillion Cells per Mouse Click19. Google-Wide Profiling:A Continuous Profiling Infrastructure for Data Centers20. Spanner: Google's Globally-Distributed Database（译zz）21. Dapper, a Large-Scale Distributed Systems Tracing Infrastructure（笔记）22. Omega: flexible, scalable schedulers for large compute clusters23. CPI2: CPU performance isolation for shared compute clusters24. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams（译）25. F1: A Distributed SQL Database That Scales26. MillWheel: Fault-Tolerant Stream Processing at Internet Scale（译）27. B4: Experience with a Globally-Deployed Software Defined WAN28. The Datacenter as a Computer29. Google brain-Building High-level Features Using Large Scale Unsupervised Learning30. Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing（译zz）31. Large-scale cluster management at Google with Borg google系列论文翻译集（合集） 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1. A brief history of Consensus_ 2PC and Transaction Commit （译）2. 拜占庭将军问题 （译） --Leslie Lamport3. Impossibility of distributed consensus with one faulty process （译）4. Leases：租约机制 （译）5. Time Clocks and the Ordering of Events in a Distributed System（译） --Leslie Lamport6. 关于Paxos的历史7. The Part Time Parliament （译 zz） --Leslie Lamport 8. How to Build a Highly Available System Using Consensus（译）9. Paxos Made Simple （译） --Leslie Lamport10. Paxos Made Live - An Engineering Perspective（译） 11. 2 Phase Commit（译） 12. Consensus on Transaction Commit（译） --Jim Gray & Leslie Lamport 13. Why Do Computers Stop and What Can Be Done About It？（译） --Jim Gray 14. On Designing and Deploying Internet-Scale Services（译） --James Hamilton 15. Single-Message Communication（译）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） 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） 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 分布式理。
3.谁能教教我hadoop伪分布式安装及配置论文怎么写,刚接触不会写
0.关闭防火墙service iptables start；#立即开启防火墙，但是重启后失效。
service iptables stop；#立即关闭防火墙，但是重启后失效。重启后生效 chkconfig iptables on；#开启防火墙，重启后生效chkconfig iptables off；#关闭防火墙，重启后生效 1.配置主机名！！！！！注意安装hadoop的集群主机名不能有下划线！！不然会找不到主机！无法启动！配置主机名$vi /etc/sysconfig/network$source /etc/sysconfig/network例如：NETWORKING=yesHOSTNAME=hadoop012.配置Hostsvi /etc/hosts填入以下内容127.0.0.1 hadoop01其他主机和ip对应信息。
3.配置面密码互通生成自己的公钥和私钥，生成的公私钥将自动存放在/root/.ssh目录下。$ ssh-keygen把生成的公钥copy到远程机器上$ ssh-copy-id [user]@[host]此时在远程主机的/root/.ssh/authorized_keys文件中保存了公钥，在known_hosts中保存了已知主机信息，当再次访问的时候就不需要输入密码了。
$ ssh [host]通过此命令远程连接，检验是否可以不需密码连接4.安装JDK通过fz将jdk安装包上传解压安装包tar -zxvf [jdk安装包位置]配置环境变量修改profile -- 这个文件是每个用户登录时都会运行的环境变量设置，当用户第一次登录时，该文件被执行. 并从/etc/profile.d目录的配置文件中搜集shell的设置。vim /etc/profile在文件行尾加入配置后保存退出export JAVA_HOME=/home/app/jdk1.7.0_45/export PATH=$PATH:$JAVA_HOME/bin重新加载profile使配置生效source /etc/profile环境变量配置完成，测试环境变量是否生效echo $JAVA_HOME java -version5.安装hadoop通过fz将hadoop安装包上传到linux解压安装包tar -zxvf [hadoop安装包位置]6.配置hadoop(1)修改 hadoop-env.sh通过vim打开vim [hadoop]/etc/hadoop/hadoop-env.sh主要是修改java_home的路径在hadoop-env.sh的第27行，把export JAVA_HOME=${JAVA_HOME}修改成具体的路径重新加载使修改生效source hadoop-env.sh(2)修改 core-site.xml通过vim打开vim [hadoop]/etc/hadoop/core-site.xml增加namenode配置、文件存储位置配置
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