Author: madhura
Date: Tue May 20 09:06:41 2014
New Revision: 1596153

URL: http://svn.apache.org/r1596153
Log: (empty)

Modified:
    incubator/stratos/site/trunk/content/about/why-apache-stratos.mdtext

Modified: incubator/stratos/site/trunk/content/about/why-apache-stratos.mdtext
URL: 
http://svn.apache.org/viewvc/incubator/stratos/site/trunk/content/about/why-apache-stratos.mdtext?rev=1596153&r1=1596152&r2=1596153&view=diff
==============================================================================
--- incubator/stratos/site/trunk/content/about/why-apache-stratos.mdtext 
(original)
+++ incubator/stratos/site/trunk/content/about/why-apache-stratos.mdtext Tue 
May 20 09:06:41 2014
@@ -41,8 +41,4 @@ Notice:    Licensed to the Apache Softwa
 <p>Another important extendability of Apache Stratos is that ability to plugin 
any IaaS due to the use of apache jclouds API. Which give more freedom to 
choose your own IaaS vendor, and it also enable to extend multiple IaaS 
integration, which is important in features like cloud bursting etc.
 <h2>True flexibility for custom services</h2>
 <p>If you look at current PaaS offering, you can’t get true flexibility for 
your own custom service. Many cases, you have to bare with what they are 
offering and make your solution around it.  With the Apache Stratos cartridge 
model, you can create custom service, without any limited boundaries. Your 
cartridge can be fully configured (installed all software, configuration ..etc) 
or zero configured ( let cartridge user to install and config what they want) 
or in-between.  This will allow you to customise your PaaS to suite in your 
current business workflows.</p>
-<h2>Multi-factored auto scaling</h2>
-<p>Majority of PaaS providers only used http traffic to auto scale or dynamic 
resource provisioning. It gives limitation on scaling non-http based 
application. But Apache Stratos auto scaler can take http traffic and non-http 
health data to do intelligent dynamic resource provisioning. Also its capable 
of dealing with these multiple factors run through scaling algorithm 
simultaneously. Inflight request count on Load Balancers, Load average, Memory 
consumption are some of factors and its easy to extend (benefit from clean 
unified communication) to any factors need to take care of the auto scaling.</p>
-<h2>Predicting future loads</h2>
-<p>Another important capability of Apache Stratos is predicting immediate 
future load, based on current health statistics. All cartridges, Load balances, 
health monitors are publishing health status into CEP (Complex Event Processor) 
via real time event bus. CEP will aggregate all these events and calculate 
first derivative, second derivative for a given time window frame and paas 
resulting streams to Auto scaler via reliable message bus.</p>
-<p>Auto Scaler used motion equation to get immediate (next minute) future 
load.</p>
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+


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