Talk:COMP 3000 Essay 1 2010 Question 6: Difference between revisions
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Race conditions: situations where one or more processes are trying to write, read or access the same piece of data, and the final result depends on who runs precisely when. Look at the text book in pages 117-118 for a detailed example of that. | Race conditions: situations where one or more processes are trying to write, read or access the same piece of data, and the final result depends on who runs precisely when. Look at the text book in pages 117-118 for a detailed example of that. | ||
Mutual exclusion (mutex): the idea of making sure that processes access data in a serialized way. Meaning that, if process A for instance, happens to be executing or using a | Mutual exclusion (mutex): the idea of making sure that processes access data in a serialized way. Meaning that, if process A for instance, happens to be executing or using a particular data structure (called a critical section), then no other process like B would be allowed to execute or use that very same data structure (critical section) until process A finishes executing or decides to leave the data structure. Common algorithms and techniques used in mutual exclusion include: locks, semaphores and monitors. | ||
Our question asks for examples of systems that have failed due to flawed efforts. For starters, this is a wiki-programming page (Rosetta code) that examines race conditions and offers an example from the Unix/Linux operating systems, whether the example mentioned here is considered a "failure" we should check with the prof. Anyways, its a good starting point. | Our question asks for examples of systems that have failed due to flawed efforts. For starters, this is a wiki-programming page (Rosetta code) that examines race conditions and offers an example from the Unix/Linux operating systems, whether the example mentioned here is considered a "failure" we should check with the prof. Anyways, its a good starting point. | ||
http://rosettacode.org/wiki/Race_condition | http://rosettacode.org/wiki/Race_condition | ||
Heres also paper that goes back to 1992, which basically examines the excessive amount of expenses and resources used in older versions of the Unix system when implementing mutual exclusion. The paper goes to explain the problem and offers a better solution. Its pretty easy to follow and understand, worth reading as well. | Heres also a paper that goes back to 1992, which basically examines the excessive amount of expenses and resources used in older versions of the Unix system when implementing mutual exclusion. The paper goes to explain the problem and offers a better solution. Its pretty easy to follow and understand, worth reading as well. | ||
http://www.usenix.org/publications/library/proceedings/sa92/moran.pdf | http://www.usenix.org/publications/library/proceedings/sa92/moran.pdf | ||
-- Munther | -- Munther | ||
Revision as of 14:07, 4 October 2010
Hey guys, this is Munther. I'm one of the members of the group assigned to this question. Before we start, let me just say that since this is a collective piece of work thats supposed to include contributions from each member of the group, let us all assume the role of the editor. So we will all contribute and help edit the final version of the article.
Regarding our question. As a starting point, I figured it would be appropriate to start defining what mutual exclusion (mutex) and race conditions mean. Lets start with race conditions, since mutual exclusion basically came to life because of the need to control race conditions.
Race conditions: situations where one or more processes are trying to write, read or access the same piece of data, and the final result depends on who runs precisely when. Look at the text book in pages 117-118 for a detailed example of that.
Mutual exclusion (mutex): the idea of making sure that processes access data in a serialized way. Meaning that, if process A for instance, happens to be executing or using a particular data structure (called a critical section), then no other process like B would be allowed to execute or use that very same data structure (critical section) until process A finishes executing or decides to leave the data structure. Common algorithms and techniques used in mutual exclusion include: locks, semaphores and monitors.
Our question asks for examples of systems that have failed due to flawed efforts. For starters, this is a wiki-programming page (Rosetta code) that examines race conditions and offers an example from the Unix/Linux operating systems, whether the example mentioned here is considered a "failure" we should check with the prof. Anyways, its a good starting point. http://rosettacode.org/wiki/Race_condition
Heres also a paper that goes back to 1992, which basically examines the excessive amount of expenses and resources used in older versions of the Unix system when implementing mutual exclusion. The paper goes to explain the problem and offers a better solution. Its pretty easy to follow and understand, worth reading as well. http://www.usenix.org/publications/library/proceedings/sa92/moran.pdf
-- Munther