Distributed Systems Reading List
Introduction I often argue that the toughest thing about distributed systems is changing the way you think. The below is a collection of material I've found useful for motivating these changes. Thought Provokers Ramblings that make you think about the way you design. Not everything can be solved with big servers, databases and transactions. Harvest, Yield and Scalable Tolerant Systems - Real world
GitHub - heathermiller/dist-prog-book
Source repo for the book that I and my students in my course at Northeastern University, CS7680 Special Topics in Computing Systems: Programming Models for Distributed Computing, are writing on the topic of programming models for distributed systems. This is a book about the programming constructs we use to build distributed systems. These range from the small, RPC, futures, actors, to the large;
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コンセンサスアルゴリズムã®æ¯”較メモ · JoeMPhilips
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一人トランザクション技術ã®ã‚«ãƒ¬ãƒ³ãƒ€ãƒ¼ | Advent Calendar 2016 - Qiita
About reserved postingIf you register a secret article by the day before the same day, it will be automatically published around 7:00 on the same day. About posting periodOnly articles submitted after November 1 of the year can be registered. (Secret articles can be registered anytime articles are posted.)
分散システムã«ãŠã‘る異常検出ã¨ã‚¹ã‚²ã‡ HeartBeat ã«ã¤ã„ã¦ã®ã¾ã¨ã‚
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Vector clock - Wikipedia
A vector clock is a data structure used for determining the partial ordering of events in a distributed system and detecting causality violations. Just as in Lamport timestamps, inter-process messages contain the state of the sending process's logical clock. A vector clock of a system of N processes is an array/vector of N logical clocks, one clock per process; a local "largest possible values" co
Algorithmic Improvements for Fast Concurrent Cuckoo Hashing - cuckoo-eurosys14.pdf
Algorithmic Improvements for Fast Concurrent Cuckoo Hashing Xiaozhou Li1, David G. Andersen2, Michael Kaminsky3, Michael J. Freedman1 1Princeton University, 2Carnegie Mellon University, 3Intel Labs Abstract Fast concurrent hash tables are an increasingly important building block as we scale systems to greater numbers of cores and threads. This paper presents the design, implementation, and evalua
Private Presentation
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Scalable Atomic Visibility with RAMP Transactions
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ZooKeeper vs. Doozer vs. Etcd | devo.ps
Juha Suomalainen on September 11, 2013 While devo.ps is fast approaching a public release, the team has been dealing with an increasingly complex infrastructure. We more recently faced an interesting issue; how do you share configuration across a cluster of servers? More importantly, how do you do so in a resilient, secure, easily deployable and speedy fashion? That's what got us to evaluate some
Raft
2. 自己紹介 ï¬ ä¹…ä¿ç”°å±•è¡Œ (@nobu_k) ï¬ Preferred Infrastructure America, Inc. å–ç· å½¹ ï¬ æœ¬æ—¥ã® NG ワード「ã„ã¤ã‚¢ãƒ¡ãƒªã‚«è¡Œãã®ï¼Ÿã€ ï¬ MessagePack for C,C++ メンテナ ï¬ åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã€ DB ã€æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ ï¬ æœ€è¿‘ golang ã«å¤¢ä¸ 2 3. 今日ã®è©±ï¼š Raft ï¬ Raft ã¨ã¯ ï¬ è¤‡è£½ã•ã‚ŒãŸãƒã‚°ã‚’管ç†ã™ã‚‹ãŸã‚ã®ã‚³ãƒ³ã‚»ãƒ³ã‚µã‚¹ ( åˆæ„ ) アルゴリズ ãƒ ï¬ Raft ã¯ã‚ã‹ã‚Šã‚„ã™ã•ã‚’é‡è¦–ã—ã¦ä½œã‚‰ã‚ŒãŸ ï¬ æ—¢å˜ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¯é›£ã—ã™ãŽã¦æ£ã—ã実装ã™ã‚‹ã®ãŒå›°é›£ ï¬ ã‚‚ã—ãã¯ã€é›£ã—ã„部分を簡å˜ã«ã—よã†ã¨ã—ã¦å®‰å…¨ã§ã¯ãªããªã£ãŸã‚Š ï¬ ã“ã®å…ˆç”Ÿãã®ã“ã‚‹ã«ã¯åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®ç†è§£ãŒå¿…é ˆ ï¬ ã‚³ãƒ³ã‚»ãƒ³ã‚µã‚¹ã¯å®‰å…¨ãªåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ を構築ã™ã‚‹ä¸Šã§å¿…é ˆã®ãƒˆãƒ”ック ï¬ ãƒ„ãƒ¼ãƒ«ã¨ã—ã¦ä½¿ã†ã«ã—ã¦ã‚‚ã€ä¸èº«ã‚„特性ã¯ç†è§£ã—ã¦ãŠãã¹ã
Scality is Storage for Digital Business
World Leader in Object and Cloud Storage Proven with 500 Million Users and 1 Trillion Objects Enterprise IT Today’s enterprise IT departments are under constant pressure to meet insatiable digital business needs and Scality is here to help with the most scalable, durable and cost effective solution to meet your storage needs. Visit the Solutions Page Cloud Service Providers Scality understands the
Readings in distributed systems
This post is a work in progress. Inspired by a recent purchase of the Red Book, which provides a curated list of important papers around database systems, I’ve decided to begin assembling a list of important papers in distributed systems. Similar to the Red Book, I’ve broken each group of papers out into a series of categories, each highlighting a progression of related ideas over time focused in
Notes On Concurrent Ring Buffer Queue Mechanics
{This post is part of a long running series on lock free queues, checkout the full index to get more context here} Having recently implemented an MPMC queue for JAQ (my concurrent queue collection) I have been bitten several times by the quirks of the underlying data structure and it's behaviour. This is an attempt at capturing some of the lessons learnt. I call these aspects or observations 'mech
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Consensus on Transaction Commit | the morning paper
Tendermint (コンセンサス・アルゴリズム)ã¾ã¨ã‚ - Qiita
Concurrency Control and Recovery in Database Systems - Microsoft Research
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