PPT-Distributed Systems: Ordering and Consistency
Author : pasty-toler | Published Date : 2019-02-02
October 11 2018 AF Cooper Context and Motivation How can we synchronize an asynchronous distributed system How do we make global state consistent Snapshots checkpoints
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Distributed Systems: Ordering and Consistency: Transcript
October 11 2018 AF Cooper Context and Motivation How can we synchronize an asynchronous distributed system How do we make global state consistent Snapshots checkpoints Example Buying a ticket on Ticketmaster. lastnamekitedu Abstract Due to the advent of eventually consistent storage systems consistency has become a focus of research Still a clear overview of con sistency in distributed systems is missing In this work we de64257ne and describe consistency CSE 40822-Cloud Computing-Fall 2014. Prof. Dong Wang. CAP Theorem. Conjectured by Prof. Eric Brewer at . PODC (Principle of Distributed Computing) . 2000 keynote talk. Described the . trade-offs involved in distributed system. Consistency --- 2. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Linearizability. vs. Sequential Consistency. Both care about giving . an illusion of a single copy. .. From the outside observer, the system should (almost) behave as if there’s only a single copy.. 1. Introduction to . NoSQL. databases and CS554 projects based on ZHT. Outlines. General terms. Overview to . NoSQL. . dabases. and key-value stores. Introduction to ZHT. CS554 projects . 2. Databases/. CS 15-440. Consistency and Replication – Part . II. Lecture 11, Oct . 2, 2013. Mohammad . Hammoud. Today…. Last . Session:. Synchronization: Mutual Exclusion and Election . Algorithms. Consistency and Replication: Introduction. Tutorial . 11 – . Yahoo! PNUTS. written by Alex . Libov. Based on OSCON 2011 presentation. winter semester, . 2013-2014. Yahoo! PNUTS. 2. A . massively parallel and . geographically . distributed database system for Yahoo!’s web . Replication. Lecture 16. , Oct 22. nd. 2015 . How’d we get here?. Failures & single systems; fault tolerance techniques added redundancy (ECC memory, RAID, etc.). Conceptually, ECC & RAID both put a “master” in front of the redundancy to mask it from clients -- ECC handled by memory controller, RAID looks like a very reliable hard drive behind a (special) controller. Time keeps on slipping, slipping…. Logistics. Last week’s slides online. Sign up on Piazza now. No really, do it now. Papers are loaded in . HotCRP. Sign up for account at . http://cs7780.ccs.neu.edu. Indranil Gupta (Indy). Department of Computer Science, UIUC. indy@illinois.edu. FuDiCo. 2015. DPRG: . http://dprg.cs.uiuc.edu. . 1. Joint Work With. Muntasir. . Rahman. (Graduating PhD Student). Luke Leslie, Lewis Tseng. Edward Tremel. 11/7/2013. Synchronizing Distributed Systems. Time, Clocks, and the Ordering of Events in Distributed Systems. How to agree on an order of events across asynchronous processes. Synchronized concurrent execution of a state machine. . Bhat. - Advanced Systems. (Some slides from 2009 class). CS 6410 – Fall 2010. Time Clocks and Ordering of events. Distributed Snapshots – Determining Global States. Time, Clocks, and the Ordering of Events in a distributed System. Distributed Systems CS 15-440 Caching – Part II Lecture 22, November 20, 2019 Mohammad Hammoud Today… Last Lecture: One-copy semantic and cache consistency Today’s Lecture: Continue with cache consistency Lecture 16. , Oct 22. nd. 2015 . How’d we get here?. Failures & single systems; fault tolerance techniques added redundancy (ECC memory, RAID, etc.). Conceptually, ECC & RAID both put a “master” in front of the redundancy to mask it from clients -- ECC handled by memory controller, RAID looks like a very reliable hard drive behind a (special) controller. Prof. Dong Wang. CAP Theorem. Conjectured by Prof. Eric Brewer at . PODC (Principle of Distributed Computing) . 2000 keynote talk. Described the . trade-offs involved in distributed system. It is impossible for a web service to provide following .
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