Cloud Computing for Web Analytics

Comment

Comment by Michael Zeller on November 26, 2008 at 3:24pm

Here is another interesting announcement regarding cloud computing. Mathematica and MATLAB are joining the crowd with offers on Amazon EC2.

More analytics in the cloud
http://smartenoughsystems.com/wp/2008/11/25/more-analytics-in-the-cloud/

Comment by AJAY OHRI on August 24, 2008 at 11:40am

Some time back, I had created a framework for data mining through on demand cloud computing. This is the next version- it is free to use for all, with only authorship credit back to me…………..

It tries to do away with fixed server ,desktop costs AND fixed software costs in softwares which are used for data mining ,stats and analytics and have huge huge per CPU count annual license fees



The modified Ohri Framework tries to mash the following



0) HTTPS rather than HTTP

1) Encryption and Compression Software for data transfer (like PGP)

2) Open source stats package like R in cloud computer (like Amazon EC2 or Rightscale with hadoop)

3) GUI to make it easy to use (like Rattle GUI and PMML Package)

4) A Data Mining Open Source Package (like Rapid Miner or Splunk)

5) RIA Graphics (like Silverlight )

6) Secure Output to cloud computing devices (like Google Docs)

7) Billing or Priced at simple cost plus X % (where simple cost can be like 0.85 cent /per instance hour or more depending on usage and X should not be more than 15 %)

8) Open source sharing of all code to ensure community sandboxing



Intention is to remove fixed computing costs of servers and desktops to normal PC’s (Ubuntu Linux ) with (Firefox or IE Explorer ) access to secure data mining on demand .

On tap demand mining to anyone in the world without going for the big license purchases/renewals (software expenses) or big hardware purchases (which become obsolete in 2-3 years).

do you think would work ???????

Comment by Alex Guazzelli on July 8, 2008 at 3:27pm

I believe cloud computing to be here to stay. Software as a Service is going to revolutionize the way analytics and predictive analytics is done today.