PPT-Calvin : Fast Distributed Transactions for Partitioned Data

Author : pamella-moone | Published Date : 2017-05-27

Based on SIGMOD12 paper by Alexander Thomson Thaddeus Diamond Shu Chun Weng Kun Ren Philip Shao Daniel J Abadi By K V Mahesh  Abhishek Gupta Under guidance

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Calvin : Fast Distributed Transactions for Partitioned Data: Transcript


Based on SIGMOD12 paper by Alexander Thomson Thaddeus Diamond Shu Chun Weng Kun Ren Philip Shao Daniel J Abadi By K V Mahesh  Abhishek Gupta Under guidance of Prof . Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . PROPHETIC BEARDS. John Knox (c. 1514-1572). Theodore . Beza. (1519-1605). More Prophetic Beards (Reformation Wall)!. ‘The . most perfect school of . Christ that ever was since the days of the Apostles’ (Knox). Ashwin Rao . Karavadi, Rakesh . Parida. Microsoft IT. Data Partitioning. Why?. Split a table into manageable partitions. Improve data access performance. Simplify maintenance. Partitioned Views. Available since SQL Server 7.0. DBMS for Semantic Web data Management. . . Surabhi Mithal. Nipun Garg. Daniel J. Abadi, Adam Marcus, Samuel R. Madden, and Kate Hollenbach. 2009. The VLDB Journal.. DBMS for Semantic Web data Management. . . Surabhi Mithal. Nipun Garg. Introduction to semantic web : An example. ISBN. Author. Title. Publisher. Year. 0006511409X. THE ONLY THING I CAN. TRUST. @. ANDY_PAVLO. Thirty Years Ago…. 2. S. mall # of . CPU. . C. ores. S. mall . M. emory. . S. izes. I. NTERACTIVE . T. ransactions. Check whether user has already voted.. COMP3017 Advanced Databases. Dr. Nicholas Gibbins – . nmg@ecs.soton.ac.uk. 2012-2013. Overview. 2. Fragmentation. Horizontal (primary and derived), vertical, hybrid. Query processing. L. ocalisation. Gokarna Sharma (. LSU. ). Brett . Estrade. (. Univ. of Houston. ). Costas Busch (. LSU. ). 1. DISC 2010 - 24th International Symposium on Distributed Computing. Transactional Memory - Background. The emergence of multi-core architectures. 11/8/2017. Recap: Parallel Query Processing. Three main ways to parallelize. 1. Run multiple queries, each on a different thread. 2. Run operators in different threads (“pipeline”). 3. Partition data, process each partition in a different processor. Aleksandar. . Dragojevic. , Dushyanth Narayanan, Edmund B. Nightingale, ´ Matthew . Renzelmann. , Alex . Shamis. , . Anirudh. . Badam. , Miguel Castro. 1. A 5-lecture Roadmap!. http://www.cs.cornell.edu/courses/cs5412/2018sp. Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . Caching 50.5* COS 518: Advanced Computer Systems Lecture 9 Michael Freedman * Half of 101 Tradeoff Fast: Costly, small, close Slow: Cheap, large, far Based on two assumptions Temporal location: Will be accessed again soon Multipole. . Methods. Qi Hu, Nail A. Gumerov, Ramani Duraiswami. Institute for Advanced Computer Studies . Department of Computer Science. University of Maryland, College Park, MD. Previous work. FMM . Based on SIGMOD’12 paper by. Alexander Thomson, Thaddeus Diamond, . Shu. -Chun . Weng. , Kun . Ren. , Philip . Shao. ,. Daniel J. . Abadi. By : K. V. Mahesh , . Abhishek. Gupta. Under guidance of: Prof. .

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