optimistic consistency

September 2, 2014
By administrator

This document describes Tsync (pronounced "sink"), which provides transparent synchronization across a set of machines for existing files and directories. A transparent synchronization system makes keeping a set of files consistent across many machines---possibly with differing degrees of connectivity and availability---as simple as possible while requiring minimal effort from the user and maintaining security, robustness to failure, and fast performance.

Traditional synchronization tools, such as the popular Rsync and Unison, require that the user manually synchronize her files after changing them. Moreover, these tools are designed to only synchronize a pair of hosts: if the user wishes to synchronize N machines, then she must run the tool N-1 times. Not only is it inefficient to unicast the same data N-1 times, but the user is also burdened with remembering to restart synchronizations that are interrupted and manually recovering failed hosts.

Tsync will solve the problem of providing transparent synchronization under the assumption of optimistic consistency. Optimistic conistency assumes that the same file is not modified on two hosts at the same time. In the Tsync usage model, the user writes a simple configuration file, similar to /etc/exports, describing which directories should be synchronized, and listing one or more other hosts that are part of the Tsync group (although this list does not have to contain all the hosts in the group). The user runs the Tsync daemon, tsyncd, on each machine in the group. Then when the user creates/modifies/deletes files on one machine, those changes are automatically propagated to all the others. So if the user were to add a bookmark on her machine at the university, it would be reflected on her desktops at home. Even if not all of the computers are connected at the same time (such as if her laptop were powered off), then the next time the disconnected machine regained connectivity, it would automatically learn about the change and update itself.

A synchronization system for widely distributed hosts faces scalability and reliability challenges. The system must gracefully scale to accommodate tens or even hundreds of hosts. Of course, to make managing the system simple, the user cannot be required to manually configure each host with every other host. Hosts must have a way of learning about other hosts, as well as efficiently distributing control messages and data to all other hosts. Furthermore, the system must automatically adapt as hosts are powered off, lose connectivity, or crash, and must rapidly re-synchronize these computers when they re-join. Similarly, adding new hosts should be a simple process, and they should rapidly be brought up-to-date. The design of Tsync uses peer-to-peer and overlay techniques to provide scalable and efficient mechanisms for transparently synchronizing many hosts. Tsync organizes a user's machines into an overlay network with a tree topology. The overlay network, through probing and a root fail-over protocol, ensures that each node remains connected with all other connected nodes. The overlay network also provides a scalable means by which a Tsync node can learn about other hosts, besides the bootstrap host with which it was configured. The tree topology allows any Tsync host to efficiently multicast a message to all the other hosts. The overlay also handles authentication and encryption: hosts authenticate each other using RSA-keys, and all data is encrypted using TLS.

http://tsyncd.sourceforge.net/

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learning, emoji, bayesian or frequentist

August 31, 2014
By administrator

The scientific research on learning styles is “so weak and unconvincing,” concluded a group of distinguished psychologists in a 2008 review, that it is not possible “to justify incorporating learning-styles assessments into general educational practice.” A 2010 article was even more blunt: “There is no credible evidence that learning styles exist,” wrote University of Virginia cognitive scientist Daniel Willingham and co-author Cedar Riener. While students do have preferences about how they learn, the evidence shows they absorb information just as well whether or not they encounter it in their preferred mode.
http://blogs.kqed.org/mindshift/2012/04/do-students-have-different-learning-styles/

Follow the way of the emoji and you will mourn the moment when you finally open your heart to the person who has meant the most to you. But you will also learn how much easier it is to get out of an unwanted date (flames + person running + heart broken in two), resign from a rubbish job (paper and pencil + briefcase + lit bomb + pink-sweater-girl waving goodbye + wine) or arrange to go out on the town (multiple possibilities, suggesting that this is what it's all about). Roland Barthes would have had a field day.
http://www.theguardian.com/technology/2014/aug/31/emoji-became-first-global-language

You have a coin that when flipped ends up head with probability [Math Processing Error] and ends up tail with probability [Math Processing Error]. (The value of [Math Processing Error] is unknown.)

Trying to estimate [Math Processing Error], you flip the coin 14 times. It ends up head 10 times.

Then you have to decide on the following event: "In the next two tosses we will get two heads in a row."

Would you bet that the event will happen or that it will not happen?

http://www.behind-the-enemy-lines.com/2008/01/are-you-bayesian-or-frequentist-or.html

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