PPT-Reintroducing Consistency in Cloud Settings

Ken Birman Cornell University Massive Cloud Platforms Sept 24 2009 Cornell Dept of Computer Science Colloquium 2 and a Live Collaborative Web The realtime web Simple ways to. By using Google Cloud Print you can print from anywhere with applications or services supporting Google Cloud Print Important LAN connection with the machine and internet connection are required to register the machine and to print with Google Cloud Service Level Agreements . for Cloud Storage. Douglas B. Terry, Vijayan Prabhakaran, Ramakrishna Kotla, Mahesh Balakrishnan, Marcos K. Aguilera, Hussam Abu-Libdeh. Microsoft Research. “A foolish consistency is the hobgoblin of little minds”. Sandeep. Hans. Agenda. Database Consistency Conditions. STM Consistency Conditions. A different perspective. Consistency with other STM properties.. Conclusion. Database Consistency Conditions. Recoverability. GLIMIR. Plenary Session: WorldCat Local Panel. Music OCLC Users Group Annual Meeting. San Jose, California. 2013 February 27. Jay Weitz. Senior Consulting Database Specialist. WorldCat Quality Management Division. 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. From Key-Value Stores to DBMSs. Raghu Ramakrishnan. Chief Scientist, Audience and Cloud Computing. Brian Cooper. Adam Silberstein. Utkarsh Srivastava. Yahoo! Research. Joint work with the Sherpa team in Cloud Computing. Ken . Birman. Professor, Dept. of Computer Science. Context. Today’s cloud computing platforms are best for building “apps” like YouTube, web search. Highly elastic, pipelined (“asynchronous”) services. 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. 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: . Ken Birman. 1. CS5412 Spring 2012 (Cloud Computing: Birman). Lecture . VII. How are cloud structured?. CS5412 Spring 2012 (Cloud Computing: Birman). 2. Clients talk to clouds using web browsers or the web services standards. Gibco boxy bottle 2008150presentGibco One Shot 50 mL bottle2016150presentGibco sera151committed to quality and innovation since 1962Gibco square plastics 19871501996Gibco round plastics 19961502007Gib Prof. Dong Wang. CAP Theorem. Conjectured by Prof. Eric Brewer at . PODC (Principle of Distributed Computing) . 2000 keynote talk. Described the . trade-offs involved in distributed system. It is impossible for a web service to provide following . Measuring and Understanding Consistency at Facebook. Haonan Lu*. †. ,. . Kaushik. . Veeraraghavan. †. ,. . Philippe . Ajoux. †. , . Jim . Hunt. †. , . Yee . Jiun. Song. †. , Wendy . Tobagus.