By Ivanyi A. (ed.)

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Linux Server Hacks, Volume 2: Tips & Tools for Connecting, Monitoring, and Troubleshooting

Put up yr notice: First released December twenty second 2005

Today's process directors take care of an unlimited variety of occasions, working platforms, software program programs, and difficulties. people who find themselves within the recognize have saved their reproduction of Linux Server Hacks shut to hand to ease their burden. And whereas this is helping, it's no longer adequate: any sys admin understands there are lots of extra hacks, cool guidance, and methods of fixing difficulties than can slot in a unmarried quantity (one that mere mortals can raise, that is).

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This convenient reference bargains a hundred thoroughly new server administration information and strategies designed to enhance your productiveness and sharpen your administrative talents. every one hack represents a shrewdpermanent strategy to accomplish a particular activity, saving you numerous hours of attempting to find the perfect solution. not more sifting via guy pages, HOWTO web content, or resource code reviews — the one source you wish is true the following. and also you don't must be a method administrator with 1000's of boxen to get anything priceless from this ebook as a number of the hacks practice both good to a unmarried process or a house network.

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Additional info for Algorithms of informatics, vol. 2

Example text

Processor executes instructions, and stores vector timestamps in consecutive entries of the table. Specifically, entry m of the table is the vector timestamp V Ti [m] of the mth instruction executed by the processor; we define V Ti [0] to be the zero vector. Processor pi begins calculating a cut right after the moment when the processor has executed instruction number ki . The processor determines the largest number ki ≥ 0 that is at most ki , such that the vector V Ti [ki ] is majorised by K. The vector K = (k1 , .

However, when defining causality, we simplify the problem of capturing how processors influence other processors, and focus on what is possible. If two instructions x and y are executed by two different processors, then we could say that instruction x can causally affect instruction y, when the processor that executes x sends a message when or after executing x, and the message is delivered before or during the execution of y at the other processor. It may also be the case that influence is passed on through intermediate processors or multiple instructions executed by processors, before reaching the second processor.

We say that two instructions x and y are concurrent when neither x

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Algorithms of informatics, vol. 2 by Ivanyi A. (ed.)
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