PPT-Consistency and Replication

Chapter 7 Part II Replica Management amp Consistency Protocols Replica Management ReplicaServer Placement Replica Placement Where is a replica placed When is a replica created Who. Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. . Improving Consistency in the ESS: Target . Populations, . Frames, Reference . Periods, . Classifications and their Applications. Q2014, Vienna, 3rd June 2014. presented by Boris Lorenc. Content. Approaches to evaluating inconsistencies. By . Shruti. . poundarik. Data Objects and Files are replicated to increase system performance and availability.. Increased system performance achieved through concurrent access of replicas.. High availability of data due to redundancy of data objects.. 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. 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. Doug Terry. Microsoft Research Silicon Valley. … Explained through Baseball. Data Replication in the Cloud. Question. : What consistency choices should cloud storage systems offer applications?. Some Popular Systems. Models. . Bhavana . Pallepati. . Client-Centric Consistency Models. The previously studied consistency models concern themselves with maintaining a consistent (globally accessible) data-store in the presence of concurrent read/write operations. 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. 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: . 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. Measuring and Understanding Consistency at Facebook. Haonan Lu*. †. ,. . Kaushik. . Veeraraghavan. †. ,. . Philippe . Ajoux. †. , . Jim . Hunt. †. , . Yee . Jiun. Song. †. , Wendy . Tobagus.