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Introduction In this lab you will modify YFS to cache extents, reducing the load on the extent server and improving YFS performance. The main challenge is to ensure consistency of extents cached at different yfs_clients: to make sure that each yfs_cl…
6.824 Lab 2: Raft Part 2A Due: Feb 23 at 11:59pm Part 2B Due: Mar 2 at 11:59pm Part 2C Due: Mar 9 at 11:59pm Introduction This is the first in a series of labs in which you'll build a fault-tolerant key/value storage system. In this lab you'll implem…
6.824 Lab 3: Fault-tolerant Key/Value Service Due Part A: Mar 13 23:59 Due Part B: Apr 10 23:59 Introduction In this lab you will build a fault-tolerant key/value storage service using your Raft library from lab 2. You key/value service will be a rep…
Part 2C Do a git pull to get the latest lab software. If a Raft-based server reboots it should resume service where it left off. This requires that Raft keep persistent state that survives a reboot. The paper's Figure 2 mentions which state should be…
概述 lab2中实现了raft协议,本lab将在raft之上实现一个可容错的k/v存储服务,第一部分是实现一个不带日志压缩的版本,第二部分是实现日志压缩.时间原因我只完成了第一部分. 设计思路 如上图,lab2实现了raft协议,本lab将实现kvserver.每个raft都关联一个kvserver,Clerks发送Put(), Append(), Get() RPC给leader服务器中的kvserver,kvserver收到请求后将操作打包成Log Entry提交给raft,然后阻塞等待ra…
Part B: Key/value service with log compaction Do a git pull to get the latest lab software. As things stand now with your lab code, a rebooting server replays the complete Raft log in order to restore its state. However, it's not practical for a long…
Part 2B We want Raft to keep a consistent, replicated log of operations. A call to Start() at the leader starts the process of adding a new operation to the log; the leader sends the new operation to the other servers in AppendEntries RPCs.我们希望Raft保持…
源代码参见我的github:https://github.com/YaoZengzeng/MIT-6.824 Lab 2:Primary/Backup Key/Value Service Overview of lab 2 在本次实验中,我们将使用primary/backup replication 来提供能够容错的key/value service.为了让所有的clients和severs都认同哪个server是primary,哪个server是backup,我们将引入一个master ser…
首发于公众号:努力学习的阿新 前言 大家好,这里是阿新. MIT 6.824 是麻省理工大学开设的一门关于分布式系统的明星课程,共包含四个配套实验,实验的含金量很高,十分适合作为校招生的项目经历,在文章<2022 双非应届 CS 硕士校招上岸字节跳动(校招总结)>中,我也将其推荐给了各位读者.但由于课程是全英的,实验说明也是全英的,实验过程中还需要阅读相关的英文文献,很多同学(包括曾经的笔者)受困于英语,对其望而却步.因此,笔者决定开启系列文章:MIT 6.824(Spring 2020)实验…
书接上文Raft Part C | MIT 6.824 Lab2C Persistence. 实验准备 实验代码:git://g.csail.mit.edu/6.824-golabs-2021/src/raft 如何测试:go test -run 2D -race 相关论文:Raft Extended Section 7 实验指导:6.824 Lab 2: Raft (mit.edu) 实验目标 实现Snapshot.CondInstallSnapshot.InstallSnapshot RPC…