PPT-Timestamp-based Concurrency Control

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in SDD1 Philip A Bernstein Microsoft Research SDD1 A DARPAfunded research project at Computer Corporation of America Cambridge MA to build a distributed database

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Timestamp-based Concurrency Control: Transcript

in SDD1 Philip A Bernstein Microsoft Research SDD1 A DARPAfunded research project at Computer Corporation of America Cambridge MA to build a distributed database system Started in the fall of 1976. Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . Motivation, Problems, Directions. Dennis Kafura - CS 5204 - Operating Systems. 1. Dennis Kafura - CS 5204 - Operating Systems. 2. Reasons for Concurrency. multitasking. parallelism. performance. coordination. concurrency. . controll. Chapter. 13. “Distributed Systems: . Concepts and Design”. Coulouris. , . Dollimore. , Kindberg. Hanna. Björling, . Stina Fröjd & Liv Sundman. Transaction. A transaction is a point where there is interaction with the database. Main-Memory Workloads. Iraklis. . Psaroudakis. (EPFL). , Tobias Scheuer (SAP AG), Norman May (SAP AG), Anastasia Ailamaki (EPFL). 1. Scheduling for high concurrency. 2. Queries >> H/W contexts. Prof. O. Nierstrasz. Selected material © Magee and Kramer. © Oscar Nierstrasz. 2. Roadmap. Modelling Concurrency. Finite State Processes . Labelled Transition Systems. Java Threads. Thread creation. James C. Corbett et al . OSDI 2012. Presenter: Akshay Ravichandran. Outline. What is Spanner?. Why Spanner?. Implementation. External Consistency. Concurrency Control. Evaluation. Related Work. Future Work. Distributed Systems. CS 425 / CSE 424 / ECE 428. Fall . 2011. Gossiping. Reading: Section . 15.4 / 18.4.  . 2011, . N. Borisov, . I. . . Gupta, K. . . Nahrtstedt. ,. . S. . Mitra. ,. . N. . Vaidya. Database System Implementation CSE 507. Some slides adapted from . Navathe. et. Al. , . Silberchatz. et. Al and . Hector Garcia-Molina . Lock Based Protocols. A lock is a mechanism to control concurrent access to a data item. [ Instructor E-mail ]. The Internet of Things (. IoT. ). Currently 20 billion devices connected to the Internet. By 2020, . expect 50 . billion or more. Health-monitoring . devices. T. hermostats. , wind turbines, and solar farms. Sadhna Kumari. OUTLINE. ACID Properties. 2-Phase Commit Protocol. TPS. Serializability. Concurrency Control Protocols. Current Research. Future. References. ACID PROPERTIES. Atomicity: . A . transaction is . 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. Some slides adapted from . Navathe. et. Al. , . Silberchatz. et. Al and . Hector Garcia-Molina . Lock Based Protocols. A lock is a mechanism to control concurrent access to a data item. Data items can be locked in two modes :. Date:. . 2020-09-30. Erik Lindskog, Samsung. Slide . 1. Authors:. Issues with current time-stamp reporting. T. he current time-stamp . reporting for . 802.11 FTM . measurements . is . not highly optimized.

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