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Table of contents
简介
Lecture 01 - Introduction
1.1 分布式系统的驱动力和挑战
(
Drivens and Challenges
)
1.2 课程结构
(
Course Structure
)
1.3 分布式系统的抽象和实现工具
(
Abstraction and Implementation
)
1.4 可扩展性
(
Scalability
)
1.5 可用性
(
Availability
)
1.6 一致性
(
Consistency
)
1.7 MapReduce基本工作方式
1.8 Map函数和Reduce函数
Lecture 03 - GFS
3.1分布式存储系统的难点
(
Why Hard
)
3.2 错误的设计
(
Bad Design
)
3.3 GFS的设计目标
3.4 GFS Master 节点
3.5 GFS读文件
(
Read File)
3.6 GFS写文件
(
Write File
)
(
1
)
3.7 GFS写文件
(
Write File
)
(
2
)
3.8 GFS的一致性
Lecture 04 - VMware FT
4.1 复制
(
Replication
)
4.2 状态转移和复制状态机
(
State Transfer and Replicated State Machine
)
4.3 VMware FT 工作原理
4.4 非确定性事件
(
Non-Deterministic Events
)
4.5 输出控制
(
Output Rule
)
4.6 重复输出
(
Duplicated Output
)
4.7 Test-and-Set 服务
Lecture 06 - Raft1
6.1 脑裂
(
Split Brain
)
6.2 过半票决
(
Majority Vote
)
6.3 Raft 初探
6.4 Log 同步时序
6.5 日志
(
Raft Log
)
6.6 应用层接口
6.7 Leader选举
(
Leader Election
)
6.8 选举定时器
(
Election Timer
)
6.9 可能的异常情况
Lecture 07 - Raft2
7.1 日志恢复
(
Log Backup
)
7.2 选举约束
(
Election Restriction
)
7.3 快速恢复
(
Fast Backup
)
7.4 持久化
(
Persistence
)
7.5 日志快照
(
Log Snapshot
)
7.6 线性一致
(
Linearizability
)
Lecture 08 - Zookeeper
8.1 线性一致
(
Linearizability
)
(
1
)
8.2 线性一致
(
Linearizability
)
(
2
)
8.3 线性一致
(
Linearizability
)
(
3
)
8.4 Zookeeper
8.5 一致保证
(
Consistency Guarantees
)
8.6 同步操作
(
sync
)
8.7 就绪文件
(
Ready file/znode
)
Lecture 09 - More Replication, CRAQ
9.1 Zookeeper API
9.2 使用Zookeeper实现计数器
9.3 使用Zookeeper实现非扩展锁
9.4 使用Zookeeper实现可扩展锁
9.5 链复制
(
Chain Replication
)
9.6 链复制的故障恢复
(
Fail Recover
)
9.7 链复制的配置管理器
(
Configuration Manager
)
Lecture 10 - Cloud Replicated DB, Aurora
10.1 Aurora 背景历史
10.2 故障可恢复事务
(
Crash Recoverable Transaction
)
10.3 关系型数据库
(
Amazon RDS
)
10.4 Aurora 初探
10.5 Aurora存储服务器的容错目标
(
Fault-Tolerant Goals
)
10.6 Quorum 复制机制
(
Quorum Replication
)
10.7 Aurora读写存储服务器
10.8 数据分片
(
Protection Group
)
10.9 只读数据库
(
Read-only Database
)
Lecture 11 - Cache Consistency: Frangipani
11.1 Frangipani 初探
11.2 Frangipani的挑战
(
Challenges
)
11.3 Frangipani的锁服务
(
Lock Server
)
11.4 缓存一致性
(
Cache Coherence
)
11.5 原子性
(
Atomicity
)
11.6 Frangipani Log
11.7 故障恢复
(
Crash Recovery
)
11.8 Frangipani总结
Lecture 12 - Distributed Transaction
12.1 分布式事务初探
(
Distributed Transaction
)
12.2 并发控制
(
Concurrency Control
)
12.3 两阶段提交
(
Two-Phase Commit
)
12.4 故障恢复
(
Crash Recovery
)
12.5 总结