PPT-Consistency-Based

Service Level Agreements for Cloud Storage Douglas B Terry Vijayan Prabhakaran Ramakrishna Kotla Mahesh Balakrishnan Marcos K Aguilera Hussam AbuLibdeh Microsoft Research A foolish consistency is the hobgoblin of little minds. 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. Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. Consistency --- 3. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. Consistency. Linearizability. ?. Sequential consistency?. Chain replication. Primary-backup (passive) replication. 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. Presenter:. Anup. . Niroula. Before going to LSCs. Requirement Capturing and Analysis. UML diagrams. - Specify scenario of the system behavior. -Interaction between the objects. Message Sequence Chart. Consistency: Consistent state of data and transactions. . Isolation: Transactions are isolated from each other. . Durability: When the transaction is committed, state will be durable.. Any data store can achieve Atomicity, Isolation and Durability but do you always need consistency?. 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: . Caching – Part III. Lecture 16, November 8, 2017. Mohammad Hammoud . Today…. Last Lecture: . One-copy semantic and cache consistency. Today’s Lecture:. Continue with cache consistency. Announcements. 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 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: . Gibco boxy bottle 2008150presentGibco One Shot 50 mL bottle2016150presentGibco sera151committed to quality and innovation since 1962Gibco square plastics 19871501996Gibco round plastics 19961502007Gib Measuring and Understanding Consistency at Facebook. Haonan Lu*. †. ,. . Kaushik. . Veeraraghavan. †. ,. . Philippe . Ajoux. †. , . Jim . Hunt. †. , . Yee . Jiun. Song. †. , Wendy . Tobagus. Replication Benefits. Replication enhances tolerance to failure. Performance can be improved in different ways. Placing replicas in the proximity of the process using them. Replicating servers and subsequently dividing the work among them.