We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Mobile Technology in Data Centers: After the Cloud, What Next?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Mobile Technology in Data Centers: After the Cloud, What Next?
Uncategorized

Mobile Technology in Data Centers: After the Cloud, What Next?

onlinetech
onlinetech
4 Min Read
Mobile Technology in Data Centers: After the Cloud, What Next?
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

What does the future hold for the data center industry? Yan Ness, Co-CEO of Online Tech, gives his thoughts on how the data center industry will evolve over the next five years and beyond.

One of the most popular data center industry trends is making data centers more energy efficient.  This includes making server equipment more energy efficient, using alternative energy resources, as well as using strategies like free cooling.

What does the future hold for the data center industry? Yan Ness, Co-CEO of Online Tech, gives his thoughts on how the data center industry will evolve over the next five years and beyond.

More Read

Common File Elimination Demystified
Common File Elimination Demystified
Thoughts on APIs – IB, Lime, WEX
Change Leadership and Sales Offer Common Challenges and Solutions
Netflix Asked the Wrong Analytics Question
Corporate Restructuring is Hard – Transparency and Authenticity are Required

One of the most popular data center industry trends is making data centers more energy efficient.  This includes making server equipment more energy efficient, using alternative energy resources, as well as using strategies like free cooling.

Ness explains in Let’s Save the Planet by Filling Up the Data Centers that in the next five years the best thing to do is “get the server equipment out of the closet and move into specialty data centers.” This move would have a tremendous impact on the environment since data centers typically incorporate more resources and technology in energy efficient improvements than small to medium companies.

Once everyone has been moved into the cloud and data center efficiencies have been maximized, what will the next step be?  What will the next generation data center look like?

As mentioned in The Next Generation Data Center: How Michigan Data Centers Fit the Bill, predictions for next generation data centers include producing more energy efficient servers.  Stephen J. Bigelow writes in What will the next big data center transformation look like? that server designs are becoming more energy efficient and can operate at higher data center temperatures.

“Next-generation servers will use only a fraction of their total power when idle and actively power off when unneeded,” said John Stanley, senior analyst at the 451 Group.  Servers that used 400 watts of power but still consumed 60% to 70% of power when idle, now uses only 25% to 50% of its total power when idle.

One of the technology advancements that really interest Ness is making servers more efficient by using mobile device technology.  Ness describes how the data center industry is looking at mobile computing devices and bringing that technology to data centers and servers.

“If you hold your phone, it’s actually is quite a powerful device.  It doesn’t get that hot and uses very little power,” says Ness. The mobile industry has invested a lot of time and resources into getting a lot out of mobile device batteries.  For example, servers could slow itself down when it is not in use like cell phones currently do.

“So by bringing some of that mobile technology to servers and data centers, I think we will see a whole new wave of improvements,” says Ness.

However, Ness brings it back full circle and stresses how important it will be to fill the data centers.  If data centers are full, then it would be financially beneficial for the industry to invest in advancing this type of technology.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Marketers Using Social Media: Do they Get it or are they Panicking?
Uncategorized

Marketers Using Social Media: Do they Get it or are they Panicking?

5 Min Read
Is Your Analytics Project Stumbling Because of Low Numerical Literacy?
Uncategorized

Is Your Analytics Project Stumbling Because of Low Numerical Literacy?

6 Min Read
Evolution of Change: Signs for the Future of Business
Uncategorized

Evolution of Change: Signs for the Future of Business

20 Min Read
The APPS Act Addresses Mobile Security Concerns
Uncategorized

The APPS Act Addresses Mobile Security Concerns

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?