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HannesDeDeurwaerder/SWIFT: SWIFT

HannesDeDeurwaerder · Zenodo (CERN European Organization for Nuclear Research) · 2020

First release of SWIFT - Tracking stable water isotopic fluctuation along the length of a plant.

Cited by 0Open access

See Swift, See Swift Run

James Bucanek · Apress eBooks · 2014

As promised, I didn’t start out this book with a dry lesson on Swift. You dove right in and started creating apps—and I think that’s fantastic. The fact that Xcode empowers even novice programmers to design and create quality iOS apps opens a world of possibilities. But you don’t want to stay a novice forever; you don’t get the good seats in the monastery’s dining hall, and there’s never any fan mail. I’m not saying that reading this one chapter will turn you into a Swift guru, but it should definitely up your game.

Cited by 9

Swift

Bar-Point · Notes and Queries · 1866

Journal Article Swift Get access Bar-Point Bar-Point Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume s3-IX, Issue 235, 30 June 1866, Page 533, https://doi.org/10.1093/nq/s3-IX.235.533i Published: 30 June 1866

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Swift

Murry, John Middleton 1889-1957 · 1970

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SWIFT

Udai Shanker, Manoj Misra, Anil K. Sarje · IGI Global eBooks · 2009

Many applications such as military tracking, medical monitoring, stock arbitrage system, network management, aircraft control, factory automation, and so forth that depend heavily on database technology for the proper storage and retrieval of data located at different remote sites have certain timing constraints associated with them. Such applications introduce the need for distributed real-time database systems (DRTDBS) [Ramamritham, 1993]. The implementation of DRTDBS is difficult due to the conflicting requirements of maintaining data consistency and meeting distributed transaction’s deadlines. The difficulty comes from the unpredictability of the transactions’ response times [Huang, 1991]. Due to the distributed nature of the transactions and in presence of other sources of unpredictability such as data access conflicts, uneven distribution of transactions over the sites, variable local CPU scheduling time, communication delay, failure of coordinator and cohort’s sites, and so forth, it is not easy to meet the deadline of all transactions in DRTDBS [Kao & Garcia – Monila, 1995]. The unpredictability in the commitment phase makes it more serious because the blocking time of the waiting cohorts due to execute-commit conflict may become longer. Hence, due to unique characteristics of the committing transactions and unpredictability in the commitment process, design of an efficient commit protocol is an important issue that affects the performance of DRTDBS [Shanker, Misra & Sarje, 2006d].

Cited by 1

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HannesDeDeurwaerder/SWIFT: SWIFT

See Swift, See Swift Run

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