PPT-Scalable Causal Consistency

COS 418 Distributed Systems Lecture 14 Wyatt Lloyd Consistency Hierarchy Linearizability Sequential Consistency Causal Consistency Eventual Consistency eg RAFT eg Bayou eg Dynamo. cmuedu Abstract A fundamental question in causal inference is whether it is possible to reliably infer the manipulation e64256ects from observational data There are a variety of senses of asymptotic reliability in the statistical literature among whi Consistency --- 3. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. Consistency. Linearizability. Sequential consistency. Chain replication. Primary-backup (passive) replication. Consistency --- 3. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. Consistency. Linearizability. ?. Sequential consistency?. Chain replication. Primary-backup (passive) replication. Ken . Birman. , Cornell University. August 18/19, 2010. 1. Berkeley Workshop on Scalability. Today’s cloud systems exhibit visible inconsistencies!. Today, very few cloud applications need consistency in a strong, interactive, real-time sense of the term.. theory . Sri Hermawati. The focus of this chapter is on the role of causal processes in decision making.. Newcombs . problem/. the predictors paradox. You are offered a choice between two boxes, B1 and B2. Box . COS 518: . Advanced Computer Systems. Lecture . 3. Michael Freedman. Let’s say A and B send an op. . All readers see A . →. B ?. All . readers see . B. . → A ? . Some see . A . → B . and others . Distributed Systems. Lecture 14. Michael Freedman. 2. Linearizability. Eventual. Consistency models. Sequential. Causal. Lamport. clocks: C(a) < C(z) Conclusion: . None. Vector clocks: V(a) < V(z) Conclusion: . Presented by: Arvind Kouta. 1. Consistency Models. Strict Consistency: operations are executed in order of wall-clock time (NTP). Sequential Consistency: operations are executed in some global ordering (Total Ordering). 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). Consistency Using . Dependency Matrices . & . Physical Clocks. Jiaqing Du, EPFL. Sameh Elnikety. , Microsoft . Research. Amitabha Roy, EPFL. Willy Zwaenepoel, EPFL. Key-Value Data Store API. Read operation. Causal arguments are inductive arguments in which the conclusion is a claim that one thing causes another.. For example:. Clogged arteries cause heart attacks. A rough surface produces friction. Exercise during heat causes sweating. Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data Vineet Raghu , Joseph D. Ramsey, Alison Morris, Dimitrios V. Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, and Panayiotis V. Benos Distributed Systems. Lecture . 16. Michael Freedman. 2. Linearizability. Eventual. Consistency models. Sequential. Causal. Lamport. clocks: C(a) < C(z) Conclusion: . None. Vector clocks: V(a) < V(z) Conclusion: . Not Causal . ! . Scalable Causal Consistency . with No Slowdown Cascades. Syed Akbar Mehdi. 1. , Cody Littley. 1. , Natacha Crooks. 1. , . Lorenzo Alvisi. 1,4. , . Nathan Bronson. 2. , Wyatt . Lloyd.