Some call it On Demand Storage, some call it the On Demand Enterprise. Other terms are Utility Computing, N1, Autonomic Storage, and the Adaptive Enterprise. Whichever label prevails, the basic idea is to offer storage as a service much the same way you deal with your utilities. You use the service, pay for what you […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Some call it On Demand Storage, some call it the On Demand Enterprise. Other terms are Utility Computing, N1, Autonomic Storage, and the Adaptive Enterprise. Whichever label prevails, the basic idea is to offer storage as a service much the same way you deal with your utilities.
You use the service, pay for what you use, and leave the supplier to deal with the behind the scenes technology. If the service isn’t there when you want it, you scream or change suppliers.
”Organizations should have one bill for storage infrastructure,” said Mark Barrenechea, senior vice president of product development at Computer Associates. ”Instead of wasting money by retaining poorly utilized systems, a better model is to only pay for what you use.”
CA’s solution is the On Demand Enterprise. Whether IT is outsourced, or available from an in-house IT department, storage and computing resources would be made available on an as needed basis, and billed accordingly. Such a vision, though, requires a complete rethink of business processes and a high degree of automation.
”Whatever you call it, the general idea is to increase the value of the work done by your storage personnel by eliminating all the manual entry they must endure today,” said Mike Karp, an analyst at Enterprise Management Associates.
Last year alone, over five Exabytes of data were stored worldwide. This equates to 500,000 times the amount of data that exists in the Library of Congress. Thus, even in enterprises where the old manual storage processes aren’t already broken, steady growth in capacity will make it a severe problem very soon.
Jens Tiedeman, IBM’s vice president of storage software believes we are at a crossroads. Despite all the grandiose vendor plans and announcements, we still can’t easily manage and build a heterogeneous SAN. Maximizing the utilization of physical assets continues to be difficult. Multiple file systems cannot share data and must be managed separately. Managing data is a burden as each component has a unique interface. Even installation and basic storage configuration can still be a nightmare.
”There is no common way to view and manage the environment so storage management is a real pain,” said Tiedman. ”Virtualize? I can’t even visualize it.”
He makes the analogy of telephone systems in the 1930’s. The phone companies observed almost exponential growth in the number of calls — much like storage growth will be over the next decade. Forecasts indicated that by 1980, telecom would need 100 million switch operators. Similarly, in a few decades, storage will need 30 million storage administrators if manual processes remain.
This article was first published on EnterpriseITPlanet.com. To read the full article, click here.
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
SEE ALL
ARTICLES