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What is Utility Computing?

Posted by NewsDesk on Thu, September 13, 2008 @ 11:39 AM
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Description

Utility computing is the realization of "on-demand" computing which provides services for Cloud Computing, IT Departments and Mobile Networks. Services provided by utility computing providers are charged on actual elapsed CPU time used, simular to traditional electricity companies that charge in actual kilowatt used. Service level agreements between the utility computing provider and consumer for the service are mandatory for establishing reliable networks for business transactions. Without services level agreement contracts in place the availability of the utility computing resource cannot be guaranteed. Each utility service provider contributes as a paid service to the success of the overall transaction of the consumer. The utility computing company offers a list of services in form of a service catalog from which the consumers can purchase computing utilities. The service catalog contains services offered by the utility computing company.

Benefits

- The availability and reliability of computing resources enables access to innovative computing services that generate new opportunities for small, medium and enterprise businesses.

- Intellectual property is protected by providing software, hardware and processes as a managed services.

- The cost effectiveness to purchase utility computing resources based on actual elapsed CPU time used for a service, enables access for small, medium, and enterprise businesses. This includes savings in travel cost and implementation cost for the consumer.

Exclusion

This section describes what utility computing is not:

- Cloud Computing

- Grid Computing

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Tags: monitoring-as-a-service, grid computing, Cloug Computing, z/OS, Maineframe

SaaS availability chart from cloud computing to utility computing

Posted by NewsDesk on Thu, September 4, 2008 @ 09:39 PM
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Code changes at Google are deployed and picked up eventually by applications, this can take up to a few weeks according to distingused google engineers.


Example: The search result count for different server locations are different. These changes are picked up eventually and can take up to a couple of weeks. ( try it with your own location ip ) 


Los Angeles    356,000,000   Results
http://74.125.47.103/search?hl=en&q=iphone


New York        225,000,000   Results
http://66.249.93.147/search?hl=en&q=iphone


San Francisco  355,000,000 Results
http://64.233.167.99/search?hl=en&q=iphone


What does this mean for enterprise applications running on the GOOG cloud, i.e. Visa financial transaction? You work in Silicon Valley, Shanghai or Madrid and get paid on Monday. Your bank account has been updated in your home town. Take a plane to New York for a sales meeting when you arrive you go to the nearst bakery and want to buy a coffee, sorry insuffcient funds, appengine is still collecting changes on servers for updates please come back in 2 weeks.


I hope this helps cloud consumers get a better idea where clouds stand and what solution fits best without all the smoke and mirrors. In engineering you need to know the break point of every system so that break point never happens in production.

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Tags: monitoring-as-a-service, grid computing, Cloug Computing, z/OS, Maineframe

It's a "Z" thang

Posted by NewsDesk on Tue, Jul 22, 2008 @ 09:39 AM
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  Cloud computing is fantastic especially looking at how far Google has come in efforts to build an enormous cloud. Who wouldn't want to leverage GOOG's PaaS? Or throw enterprise apps onto it. Unfortunately / fortunately let's get back to reality.

We may not actually run production enterprise applications on an internet centric cloud for critical business applications. The nice Face book App, Spam App, Twitter and WebShop was nice although it is time to get real. 

The good news is that the on-demand model has been available for a while in utility companies and large financial institutions. It's called z/OS on the IBM Mainframe which includes an OS built-in enterprise database DB2 that has been running secure and highly available transactions for decades.

Cloud and Mainframe release management for applications are different. Update a mainframe mission critical application that runs on a single box and your enterprise is up-to-date across all 256 CPU's. This doesn't work with the cloud. According to GOOG distinguished engineer's applications pickup changes eventually over days or weeks. This is unsatisfactory for mission critical applications.

Here are some IBM examples:http://www-03.ibm.com/systems/z/success/testimonials/index.html

Here are some Google examples:http://appgallery.appspot.com/

http://www.utilitystatus.com/blog.php

Monitoring-as-a-Service(TM)

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Tags: monitoring-as-a-service, grid computing, Cloug Computing, z/OS, Maineframe

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