PPT-Is Distributed Consistency Scalable?

Ken Birman Cornell University August 1819 2010 1 Berkeley Workshop on Scalability Todays cloud systems exhibit visible inconsistencies Today very few cloud applications need consistency in a strong interactive realtime sense of the term. This paper describes the de sign implementation and evaluation of Scatter a scalable and consistent distributed keyvalue storage system Scatter adopts the highly decentralized and selforganizing structure of scalable peertopeer systems while preserv Hellerstein Abstract Distributed consistency is a perennial research topic in recent years it has become an urgent practical matter as well The research literature has focused on enforcing various 64258avors of consistency at the IO layer such as li Spring 2009. L. -10 Consistency. 1. Important Lessons. Lamport. & vector clocks both give a logical timestamps. Total ordering vs. causal ordering. Other issues in coordinating node activities. Exclusive access to . 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/. 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 . Priya Bhat, Yonggang Liu, Jing Qin. Content. 1. . Ceph. Architecture. 2. . Ceph. Components. 3. . Performance Evaluation. 4. . Ceph. Demo. 5. Conclusion. Ceph Architecture. What is Ceph?. Ceph is a distributed file system that provides excellent performance, scalability and reliability.. 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. 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. Mahesh Balakrishnan. Microsoft Research / VMware Research. Collaborators:. Dahlia Malkhi, Ted . Wobber. , Vijayan Prabhakaran, Phil Bernstein, Ming Wu, Michael Wei, Dan Glick, John D. Davis, . Aviad. Systems. Consistency. Sisi. . Duan. Assistant. . Professor. Information. . Systems. sduan@umbc.edu. Announcement. HW3 is due next week (. before the beginning of the class. . No late submissions). October 11, 2018. A.F. 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. Distributed Systems CS 15-440 Caching – Part II Lecture 21, November 28, 2018 Mohammad Hammoud Today… Last Lecture: One-copy semantic and cache consistency Today’s Lecture: Continue with cache consistency 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 COS 418: Distributed Systems. Lecture . 14. Wyatt Lloyd. Consistency Hierarchy. Linearizability. Sequential Consistency. Causal+ Consistency. Eventual Consistency. e.g., RAFT. e.g., Bayou. e.g., Dynamo.