У нас вы можете посмотреть бесплатно Kiran Bhattaram on Failure Detectors или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Meetup: http://bit.ly/2ob1cR3 Slides: http://bit.ly/2paqEe2 Audio: http://bit.ly/2pxsimE ----------------------------------------------------------------------------------- Sponsored and hosted by Two Sigma (@twosigma) ----------------------------------------------------------------------------------- Description ------------------ The problem of consensus is central to many distributed systems algorithms. Failure detectors are central to the way we think about consensus algorithms. In a fully asynchronous system, the FLP impossibility result (https://groups.csail.mit.edu/tds/pape...) shows that no consensus solution that can tolerate crash failures exists! This simple, stunning result imposed a hard constraint on what could be solved in an asynchronous model. The FLP (http://the-paper-trail.org/blog/a-bri...) result kicked off a flurry of research into ways to circumvent the impossibility result. Failure detectors were the most compelling abstraction proposed. These augmented the asynchronous model just enough to allow consensus, while retaining most of the neat abstractions that make asynchronous systems simple to reason about. In this talk, I'll discuss some of the history and background of Chandra and Toueg's failure detector proposal (http://courses.csail.mit.edu/6.852/08..., and discuss some failure detector mechanisms that followed the paper. Bio ----- Kiran (https://kiranbot.com) (@kiranb) is a software engineer at Stripe. At work, she's thinks a lot about distributed systems fallacies (https://kiranbot.com/fallacies) and how we can observe what our software is doing. A normal day working with Kiran involves conversations about operating distributed systems and learning that she made that awesome space dress she's wearing.