分布式领域论文目录

• 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

google论文系列

• google系列论文译序

• The anatomy of a large-scale hypertextual Web search engine (译 zz)

• web search for a planet :the google cluster architecture(译)

• GFS：google文件系统 (译)

• MapReduce: Simplied Data Processing on Large Clusters (译)

• Bigtable: A Distributed Storage System for Structured Data (译)

• Chubby: The Chubby lock service for loosely-coupled distributed systems (译)

• Sawzall:Interpreting the Data–Parallel Analysis with Sawzall (译 zz)

• Pregel: A System for Large-Scale Graph Processing (译)

• Dremel: Interactive Analysis of WebScale Datasets(译zz)

• Percolator: Large-scale Incremental Processing Using Distributed Transactions and Notifications(译zz)

• MegaStore: Providing Scalable, Highly Available Storage for Interactive Services(译zz)

• Case Study GFS: Evolution on Fast-forward (译)

• Google File System II: Dawn of the Multiplying Master Nodes

• Tenzing - A SQL Implementation on the MapReduce Framework (译)

• F1-The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business

• Elmo: Building a Globally Distributed, Highly Available Database

• PowerDrill：Processing a Trillion Cells per Mouse Click

• Google-Wide Profiling:A Continuous Profiling Infrastructure for Data Centers

• Spanner: Google’s Globally-Distributed Database(译zz)

• Dapper, a Large-Scale Distributed Systems Tracing Infrastructure(笔记)

• Omega: flexible, scalable schedulers for large compute clusters

• CPI2: CPU performance isolation for shared compute clusters

• Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams(译)

• F1: A Distributed SQL Database That Scales

• MillWheel: Fault-Tolerant Stream Processing at Internet Scale(译)

• B4: Experience with a Globally-Deployed Software Defined WAN

• The Datacenter as a Computer

• Google brain-Building High-level Features Using Large Scale Unsupervised Learning

• Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing(译zz)

• Large-scale cluster management at Google with Borg

• google系列论文翻译集(合集)

分布式理论系列译序

• 分布式理论系列译序

• Appraising Two Decades of Distributed Computing Theory Research

• A brief history of Consensus_ 2PC and Transaction Commit (译)

• 拜占庭将军问题 (译)

• Impossibility of distributed consensus with one faulty process (译)

• Leases：租约机制 (译)

• Time Clocks and the Ordering of Events in a Distributed System(译)

• 关于Paxos的历史

• The Part Time Parliament (译 zz)

• How to Build a Highly Available System Using Consensus(译)

• Paxos Made Simple (译)

• Paxos Made Live - An Engineering Perspective(译)

• 2 Phase Commit(译)

• Consensus on Transaction Commit(译)

• Why Do Computers Stop and What Can Be Done About It?(译)

• On Designing and Deploying Internet-Scale Services(译)

• Single-Message Communication(译)

• Life beyond Distributed Transactions:an Apostate’s Opinion(译zz)

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

• 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
  

• RAFT:In Search of an Understandable Consensus Algorithm

• 分布式理论系列论文翻译集(合集)

数据库理论系列

1. A Relational Model of Data for Large Shared Data Banks –E.F.Codd 1970

2. SEQUEL：A Structured English Query Language 1974

3. Implentation of a Structured English Query Language 1975

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

5. Granularity of Locks and Degrees of Consistency in a Shared DataBase –Jim Gray 1976

6. Access Path Selection in a RDBMS 1979

7. The Transaction Concept:Virtues and Limitations –Jim Gray

8. 2pc-2阶段提交：Notes on Data Base Operating Systems –Jim Gray

9. 3pc-3阶段提交：NONBLOCKING COMMIT PROTOCOLS

10. MVCC：Multiversion Concurrency Control-Theory and Algorithms –1983

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

12. A Comparison of the Byzantine Agreement Problem and the Transaction Commit Problem –Jim Gray

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

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

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

    • Architecture of a Database System(译zz)

大规模存储与计算(NoSql理论系列)

1. Towards Robust Distributed Systems：Brewer’s 2000 PODC key notes

   • CAP理论

2. Harvest, Yield, and Scalable Tolerant Systems

   • 关于CAP

   • BASE模型：BASE an Acid Alternative

   • 最终一致性

   • 可扩展性设计模式

   • 可伸缩性原则

   • NoSql生态系统

   • scalability-availability-stability-patterns

   • The 5 Minute Rule and the 5 Byte Rule (译)

   • The Five-Minute Rule Ten Years Later and Other Computer Storage Rules of Thumb

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

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

   • 关于MapReduce的争论

   • MapReduce：一个巨大的倒退

   • MapReduce：一个巨大的倒退(II)

   • MapReduce和并行数据库，朋友还是敌人？(zz)

   • MapReduce and Parallel DBMSs-Friends or Foes (译)

   • MapReduce:A Flexible Data Processing Tool (译)

   • A Comparision of Approaches to Large-Scale Data Analysis (译)

   • MapReduce Hold不住？(zz)

   • Beyond MapReduce：图计算概览

   • Map-Reduce-Merge: simplified relational data processing on large clusters

   • MapReduce Online

   • Graph Twiddling in a MapReduce World

   • Spark: Cluster Computing with Working Sets

   • Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing

   • Big Data Lambda Architecture

   • The 8 Requirements of Real-Time Stream Processing

   • The Log: What every software engineer should know about real-time data’s unifying abstraction

   • Lessons from Giant-Scale Services

   ---

   基本算法和数据结构

   • 大数据量，海量数据处理方法总结
   1. Consistent Hashing And Random Trees

• Merkle Trees

  1. Scalable Bloom Filters

1. Introduction to Distributed Hash Tables

2. B-Trees and Relational Database Systems

• The log-structured merge-tree (译)

• lock free data structure

• lock free algorithm

1. Data Structures for Spatial Database

2. Gossip

3. The Graph Traversal Pattern

基本系统和实践经验

• MySQL索引背后的数据结构及算法原理

• Dynamo: Amazon’s Highly Available Key-value Store (译zz)

• Cassandra - A Decentralized Structured Storage System (译zz)

• PNUTS: Yahoo!’s Hosted Data Serving Platform (译zz)

• Yahoo!的分布式数据平台PNUTS简介及感悟(zz)

• LevelDB：一个快速轻量级的key-value存储库(译)

• LevelDB理论基础

• LevelDB：实现(译)

• LevelDB SSTable格式详解

• LevelDB Bloom Filter实现

• Sawzall原理与应用

• Storm原理与实现

• Designs, Lessons and Advice from Building Large Distributed Systems

• Challenges in Building Large-Scale Information Retrieval Systems

• Experiences with MapReduce, an Abstraction for Large-Scale Computation

• Taming Service Variability,Building Worldwide Systems,and Scaling Deep Learning

• Large-Scale Data and Computation:Challenges and Opportunitis

• Achieving Rapid Response Times in Large Online Services

• The Tail at Scale(译)

• How To Design A Good API and Why it Matters

• Event-Based Systems:Architect’s Dream or Developer’s Nightmare?

• Autopilot: Automatic Data Center Management

其他辅助系统

• The ganglia distributed monitoring system:design, implementation, and experience

• Chukwa: A large-scale monitoring system

• Scribe : a way to aggregate data and why not, to directly fill the HDFS?

• Benchmarking Cloud Serving Systems with YCSB

• Dynamo Dremel ZooKeeper Hive 简述

• Hadoop Reading List

• The Hadoop Distributed File System(译)

• HDFS scalability:the limits to growth(译)

• Name-node memory size estimates and optimization proposal.

• HBase Architecture(译)

• HFile：A Block-Indexed File Format to Store Sorted Key-Value Pairs

• HFile V2

• Hive – A Petabyte Scale Data Warehouse Using Hadoop

• HIVE RCFile高效存储结构

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

2. Hive – A Petabyte Scale Data Warehouse Using Hadoop

3. HIVE RCFile高效存储结构

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

5. The life and times of a zookeeper

   • Avro: 大数据的数据格式(zz)

   • Apache Hadoop Goes Realtime at Facebook (译)

   • Hadoop平台优化综述(zz)

   • The Anatomy of Hadoop I/O Pipeline (译)

   • Hadoop公平调度器指南(zz)

   • 下一代Apache Hadoop MapReduce

   • Apache Hadoop 0.23

深入理解计算机系统

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

• phylips@bmy

• http://duanple.blog.163.com/blog/static/709717672011330101333271/

• http://blog.nosqlfan.com/html/1647.html

• 分布式系统阅读清单

  转载请注明作者：phylips@bmy 2011-4-30

出处：http://duanple.blog.163.com/blog/static/709717672011330101333271/

再推荐一个相关文章：http://blog.nosqlfan.com/html/1647.html