Featured in Openshift Developer Spotlight

As many of you would know, a few months back I have launched the ONE Knowledge Base, which is hosted on Openshift. This week, my profile has been featured in the Openshift Developer Spotlight. Check out the mini-interview to learn why the ONE KB was developed and what problem it solves. Besides, you would also get to know about my favorite tools and development stack :)

If you have not tried the ONE KB yet, go for it now. Search the archives, and you might find that your question has already been answered!

Comments

Text Highlighting in Latex

While preparing a manuscript with Latex, it is often useful to highlight the changes made in the current revision with a different color. This can be achieved using the \ textcolor command provided by Latex. For example, \textcolor {red}{Hello World} would display the string "Hello World" in red color. However, the final/published copy of the manuscript does not contain any highlighted text. Therefore, if a large volume of changes were made, it becomes tiresome at the end to find and remove all the individual portions of highlighted text. This can be circumvented by defining a utility command to switch highlighting on and off as desired. In the following, we define a new Latex command, highlighttext , for this purpose. The command takes only a single argument—the text to be highlighted. \usepackage {color} % For highlighting changes in this version with red color \newcommand { \highlighttext }[1] { \textcolor {red}{#1}} % Remove all text highlighting

Commonly Used Metrics for Performance Evaluation

The following metrics are commonly used when evaluating scenarios related to DTN protocols. Delivery ratio of the messages, Average message delivery latency Overhead ratio (of the underlying routing mechanism) Suppose that $M$ be the set of all messages created in the network and $M_d$ be the set of all messages delivered. Then, the delivery ratio is computed as $|M_d| / |M|$. Now let the $i^{th}$ delivered message was created at time $c_i$ and delivered at time $d_i$. Then the average message delivery latency is computed as $(\sum_{i = 1}^{|M_d|} (d_i - c_i)) / |M_d|$. Note that, in Statistics, mean, median and mode are all the measures of average. But "loosely speaking", unless otherwise specified, we refer to the "mean" value when we say "average." Nevertheless, the MessageStatsReport in the ONE simulator provides a measure of both the mean and median values wherever appropriate. One may refer the above metric as "end-to-end delay.

The ONE KB has a new home

The ONE Knowledge Base is now hosted at http://theonekb.pythonanywhere.com/ If you are unaware, the ONE KB allows you to search the old email archives of the simulator's community. Therefore, if you have any question related to simulation, you may query the existing database at the above link. Chances are good that your question might already have been answered previously. If not, you can still post an email to the community's mailing list. Have you tried the ONE KB already? How was your experience? Was it helpful? Let me know in the comments!

Barun Saha's blog on Delay Tolerant Networks

Search This Blog