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Home Linux Algorithm::VectorClocks Download

Algorithm::VectorClocks

December 16, 2008
This software orders events in a distributed system by creating a partial ranking.
Version 0.1.1
License Perl Artistic License
Platform Linux
Supported Languages English
Homepage search.cpan.org
Developed by Takeru INOUE
Algorithm::VectorClocks is a Perl module that applies the Vector Clocks algorithm to generate a partial ordering of events in a distributed system. This module comes with a basic SYNOPSIS to help you understand how to use it.

The module enables you to create vector clocks and update them according to definite rules. The Vector Clocks algorithm is based on logical clocks. Interprocess messages contain the state of the sending process's logical clock. A vector clock of an N-process system is an array of N logical clocks, one per process. A local copy of the vector is kept in each process.

The rules for clock updates are as follows:

- Initially, all clocks are zero.
- Each time a process experiences an internal event, it increments its own logical clock in the vector by one.
- Each time a process prepares to send a message, it increments its own logical clock in the vector by one and then sends its entire vector along with the message being sent.
- Each time a process receives a message, it increments its own logical clock in the vector by one and updates each element in its vector by taking the maximum of the value in its own vector clock and the value in the vector in the received message (for every element).

The SYNOPSIS provides a simple example to get you started with the module. It initializes two servers, A and B, and sets their respective vector clocks. Both servers send and receive messages to update their clocks. Finally, a client retrieves the timestamp for each server, and the module orders the vector clocks.

In conclusion, Algorithm::VectorClocks is a useful tool for generating partial orderings of events in a distributed system. Its Vector Clocks algorithm and update rules ensure logical and precise tracking of events across multiple servers, making it an ideal solution for developers building distributed systems.
What's New

Version 0.1.1: N/A

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