simpy
simpy
* The Mottos Say It All
* The Learning Curve and The Community
* What JavaScript Is Good For
o More Than Just The DOM
o Inheritance with JavaScript
o Self Reference
* MooTools Makes JavaScript Itself More Fun
* jQuery Makes the DOM More Fun
* Anything You Can Do I Can Do Better
* MooTools Let's You Have It Your Way
* Chaining as a Design Pattern
* Reusing Code with jQuery
* Reusing Code with MooTools
o MooTools and Inheritance
o Extending and Implementing Classes
* Decision Time
* Discussion
There are many opinions in the air about the impact that virtualization has on performance, so I thought a short blog would be good to explain (as best I can) virtual machine performance characteristics with pointers to relevant benchmarks and technical papers.
My background is that I was an early Product Manager working on VMware ESX Server (from version 1.5) and among other things ran product management for VMware for a few years. As a product management guy, I kept track of the output of the engineering performance group, and as a result had a reasonable high level (although never code level) understanding of the whys and wherefores of virtualization performance. Although I’m not as fresh on virtualization as I once was, I’ll try to do my best here. I also want to thank Steve Herrod at VMware, and Simon Crosby at Citrix for providing a technical sanity check on the blog contents, although I retain responsibility for any mistakes and oversights.
Links:
* http://en.wikipedia.org/wiki/Comparison_of_JavaScript_frameworks
* http://stackoverflow.com/questions/176324/why-does-everyone-like-jquery-mor...
* http://blog.creonfx.com/javascript/mootools-vs-jquery-vs-prototype-vs-yui-v...
Clarification added 9 days ago:
Found a very nice presentation, dated Oct 2008 , by John Resig (Author of JQuery). Here is the URL.
http://www.slideshare.net/jeresig/javascript-library-overview-presentation
This guide presents the best practices in migration strategy and planning, migration tools, and practical migration examples. It is intended for technical staff involved in a MySQL to DB2 UDB conversion project.
This redbook also provides step-by-step instructions for installing and using the IBM DB2 Migration Toolkit (MTK) to port the database objects and data from MySQL to DB2 UDB.
Application programming and conversion considerations are discussed along with the differences in features and functionality of MySQL and DB2 UDB.
Examples are used throughout the book to illustrate conversions of database access, database administration, SQL statements (DDL, DML) and others, as well as testing and tuning your DB2 UDB system.
As newsgathering continues to evolve, new ways of keeping track of current events are developing. Dave Winer joins Phil and Scott to discuss how Twitter and other social networking tools are changing the way that people read and react to the news. He talks about how he followed prior major news stories and why he now has started using social networking tools as a better way.
He then discusses his work with Twitter stats and reviews what can be learned from how Twitter works. He also reviews the possible future of these tools and assesses some of the ways that information is compiled and distributed and what might be different as time goes on.
The argument continues to this day. People who say Twitter is a conversational medium would agree with those who say Barger was the founder. I see Twitter as a publishing environment, a place to push links, a notification system. Oddly, I think Barger with his linkblog approach (which was the same as the early Scripting News or the News Page of the 24 Hours project) would agree.
PowerMeter will take data from smart meters and process it into the PowerMeter interface, enabling consumers to see their energy consumption over time. Since smart meters are being rolled out by utilities, the tool will largely rely on utility deals. But Google has also said it is looking at ways to use energy data without smart meters, as well as working with third-party device and application makers.
Hohm is a tool that will enable consumers to see their energy consumption over time and recommend ways to save energy. If Microsoft hasn’t hooked up with your utility yet, you can still enter some basic information into Hohm about location and home, and it will use predictive algorithms to predict your energy consumption. If Microsoft has partnered with your utility, Hohm will integrate your historical energy use, and you will eventually see data from smart meters once they have been rolled out. Hohm will eventually be integrated with applications built by third parties.
