PPT-Optimistic Concurrency Control

Author : faustina-dinatale | Published Date : 2016-03-06

Lecture 13 2Phase Locking Recap Phases Growth acquire all locks Shrinking release locks as done Strict 2PL Dont release write locks until end of xaction Rigorous

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Optimistic Concurrency Control: Transcript

Lecture 13 2Phase Locking Recap Phases Growth acquire all locks Shrinking release locks as done Strict 2PL Dont release write locks until end of xaction Rigorous Release no locks until end. Optimistic bias 4 Measurement and Methodological Issues The simplest method of establishing an optimistic bias (see Appendix A) is to ask a sample of individuals to estimate their rimembers of t Seminar: Transaction Processing (Bachelor). SS 2009. Dennis . Stratmann. Outline. Goal and Overview. Examine Three Approaches to CC on RD:. 1. Predicate-Oriented Concurrency Control. 2. Relational Update Transactions. for Distributed Learning. Xinghao Pan. Joseph E. Gonzalez. Stefanie . Jegelka. Tamara Broderick. Michael I. Jordan. Data. Model. Parameters. Machine Learning . Algorithm. Data. Model. Parameters. Distributed Machine Learning. Prof. O. Nierstrasz. Selected material © Magee and Kramer. © Oscar Nierstrasz. 2. Roadmap. Modelling Concurrency. Finite State Processes . Labelled Transition Systems. Java Threads. Thread creation. Concurrency Topics. 1. Sequential programming notation. 2. Expressing concurrency with . co. and . process. . 3. States and hardware. 4. Atomic actions. 5. Inter-leavings and histories. 6. The finite progress assumption. Glasses:. Combining . Pessimistic and. Optimistic Tracking of Cross-Thread Dependences. Man Cao. Minjia. Zhang. Aritra. . Sengupta. Michael D. Bond. 1. PPoPP. 2016. Dynamic Analyses for Parallel Programs. V., Pillai, T., . Arpaci-Dusseau. , A. . and . Arpaci-Dusseau. , R. . Presented by. Mohammed Alabdulhadi. 28 October 2013. Optimistic Crash Consistency. Background. Introduction. Key Points of the paper. : Adaptively . Combining Pessimistic and. Optimistic Synchronization for Efficient Parallel Runtime Support. Man Cao. Minjia. Zhang. Michael D. Bond. 1. Dynamic Analyses for Parallel Programs. Data Race Detector, . Database Concurrency Control. 1 Purpose of Concurrency Control. To enforce Isolation (through mutual exclusion) among conflicting transactions. . To preserve database consistency through consistency preserving execution of transactions.. in SDD-1. Philip A. Bernstein. Microsoft Research. SDD-1. A DARPA-funded research project at Computer Corporation of America (Cambridge, MA) to build a distributed database system. Started in the fall of 1976. The Giver Vocabulary Bellwork 2 Monday, April 22 1. remorse- noun- regret or guilt 2. reprieve- noun- to stop or postpone punishment or a break from something harmful 3. exuberant- adj.- full of enthusiasm Software & the Concurrency Revolution by Sutter & Larus ACM Queue Magazine, Sept. 2005 For CMPS 5433 - Halverson 1 In a Nutshell “The concurrency revolution is primarily a software revolution -. Bhavya. . Kilari. Dr. . Yanqing. Zhang, . CSc. 8320. PREVIEW. P. ART. I. : . I. NTRODUCTION. Transaction Processing System [. R. Chow & T. Johnson, 1997. Arpaci-Dusseau. , A. . and . Arpaci-Dusseau. , R. . Presented by. Mohammed Alabdulhadi. 28 October 2013. Optimistic Crash Consistency. Background. Introduction. Key Points of the paper. Paper main contributions..

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