PPT-Chapter 7: Consistency & Replication

IV REPLICATION MANAGEMENT By Jyothsna Natarajan Instructor Prof Yanqing Zhang Course Advanced Operating Systems CSC 8320 What is Replication Replication is the process of having multiple copies of identical data and computations in distributed systems . Chapter 7. Part II . Replica Management. &. Consistency Protocols. Replica Management. Replica-Server Placement. Replica Placement:. Where. is a replica placed?. When. is a replica created?. Who. Gossiping. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. Available copies replication?. Read and write . p. roceed with live replicas. Cannot achieve one-copy serialization itself. 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.. Topics. Why Replication?. System Model. Consistency Models . One approach to consistency management and dealing with failures. Readings. Van Steen and Tanenbaum: 6.1, 6.2 and 6.3, 6.4. Coulouris: 11,14. CS 15-440. Consistency and Replication – Part IV. Lecture 13, Oct 23, 2013. Mohammad . Hammoud. Today…. Last Session:. Consistency and . Replication- Past III. Client-centric consistency models and replica management. Models of DNA replication: Meselson-Stahl Experiment. DNA synthesis and elongation. DNA polymerases. Origin and initiation of DNA replication. Prokaryote/eukaryote models (circular/linear chromosomes). a journey from the simple to the optimal. Faisal Nawab. In collaboration with:. Divy Agrawal, Amr El Abbadi, Vaibhav Arora, Hatem Mahmoud, Alex Pucher . . Chapter 7. Most of the lecture notes are based on slides by Prof. Jalal Y. Kawash at Univ. of Calgary. Some notes are based on slides by Prof. Kenneth Chiu at SUNY Binghamton. I have modified them and added new slides. 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: . By . Sidoine. . Lafleur. . Manono. . Fotso. . epse. . Kamgang. On . September 30, 2015. Advanced Operating Systems class . : . CSc. 8320. Instructor: . Prof. Yanqing Zhang . I- Introduction. 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: . 9.1 DNA Replication is Semiconservative. DNA Replication is Semiconservative. DNA Replication is Semiconservative. Chapter 9: DNA Replication . 9.2 DNA Replication in Prokaryotes. Prokaryotic DNA is circular. Ken Birman. Spring, 2022. http://www.cs.cornell.edu/courses/cs5412/2022sp. 1. Can we build consistent, highly available . -services?. When building . -services everything needs to be sharded for scaling. .