MySQL – Steps to break down large time series data & queries (Part 2/2)
1) Appends date time to the table name
For example, a table name is Data_Connections_History. Then the application appends the date at the end of table name, such as Data_Connections_History_2009_3_14. The application should be able to create these tables automatically and insert the new entries. Read more 
The future of homeplug networking

The use of electric wiring as a mean of networking is a significant movement in terms of connectivity. In the future homeplugs will replace wireless networking and much of the ethernet cabling in homes or home offices. Read more 
MySQL – Steps to break down large time series data & queries (Part 1/2)
In my previous article, I have experimented and optimized query using range data. In this article, I will discuss two approaches to improve the scalability and the performance of continuous large time series data. The scalability is achieved by first separating the time series data into multiple tables in fixed time span and the performance (also scalability) is improved by breaking a long range query into multiple short fix time range queries to take advantage of the query cache. In fact, this is quite a common approach on optimizing time series data. Read more 




I was tuning network performance under high traffic load on FreeBSD and stumbled across some parameters on the em drivers for the Intel Gigabit Network Card. The man page of em(4) explains briefly what
Awk command is one of the most useful unix tools and yet the most (in my view) underrated. It can save you a lot of efforts writing any code. Everyone uses a lot of grep in conjunction with programming but awk can do more than grep in some cases. 