NEW YORK — The computing resources that make the bedrock of IT will be
virtualized over the next five years to alleviate the tangled Web of
complexity in data centers.
Virtualization, in which software on physical machines is split up to act as
several physical machines, is showing up in processors, storage, networks,
applications and databases.
![]() |
John Swainson Source: CA |
However, these technologies create more complexity and need to be carefully
managed as “enterprise IT management,” said
CA (Quote, Chart) CEO John Swainson during his keynote at the Interop
New York 2006 event here.
That complexity is in large part derived from the automation of computers
and all of the networking gear, applications, management and security
infrastructure that connect and power them.
This complexity is manifested in remotely connected devices, as well as new
types of security applications to corral those gadgets.
Moreover, these
technologies must work with existing environments and legacy technology,
such as mainframes.
In short, complexity derives from treating complexity.
“Businesses are continuing to automate their business processes, and that’s a
good thing,” Swainson said. “It ensures that productivity will increase, and
that drives up productivity and enables economic growth.
“But each time we do it we add another layer of complexity to the IT
environment … The level of complexity is becoming overwhelming.”
Swainson noted that CIOs can use virtualization to cut through the time-and
cost-consuming of traditional custom coding.
However, the next step is to find a way to choreograph the components in a
virtualized environment, which is where service-oriented architectures (SOA)
come in.
SOAs (define), he said, offer standard interfaces connected to
centralized repositories, as well as a standard way for vendor software to
integrate processes and transactions to allow for the smooth consumption of
Web services (define).
But SOAs trigger the need for more management.
Complexity spawned by virtualization and SOAs, as well as the uptick in
computing usage associated with falling IT costs, is creating the need for
stronger management schemas.
“We need to drive relentlessly to full process automation via technology …
even as new and disruptive technologies emerge and are exploited,” Swainson
said.
Then came the pitch: Swainson said CA’s enterprise IT management plan
includes security, enterprise systems management (ESM) for storage, and
business service optimization (BSO) “to do for IT what ERP did for business
processes.”
Enterprise resource planning provided a framework for managing application
processes, which is what CA hopes to accomplish at a holistic level with
EITM.
The idea is to rapidly respond to business changes, but be proactive about
them where possible to accommodate such technologies as Web services, RFID
(define) and VoIP (define).
This article was first published on InternetNews.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
FEATURE | By Samuel Greengard,
November 05, 2020
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
FEATURE | By Cynthia Harvey,
October 07, 2020
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
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.