VANCOUVER, BC – OpenStack’s Nova compute project originally began as the Nebula project at NASA. At the OpenStack conference here, Jonathan Chiang, IT Chief Engineer at NASA JPL detailed how the space agency is now using OpenStack in its effort to land humans on Mars.
“NASA is a place where we dare mighty things,” Chiang said.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
Chiang explained that JPL is a leading center for the robotic exploration of the solar system. He noted that there has been a robotic presence on Mars since 1976. Since then an increasingly complex array of spacecraft have landed on Mars.
Chiang also highlighted a number of efforts that NASA has underway as the space agency aims to deliver on President Obama’s mandate to bring humans to the surface of the red planet. One such mission is the Europa Clipper, which is a robotic craft headed to the moons of Jupiter in a search for life. Additionally there is a NASA asteroid redirect mission in the planning stages that will see a spacecraft intercept, retrieve and bring an asteroid to the moon’s orbit where it can be further analyzed and explored.
Overall Chiang emphasized that there is a lot of technology needed to bring humans to Mars and the process to develop all that technology generates lots of data. Chiang said a modern orbiter can generate as much as 80 terabytes of data every day.
The challenge for JPL is that it has a limited financial budget as well as limited data center real estate. Chiang said that the JPL cannot expand its data center’s physical footprint, which is where OpenStack is now playing a key role.
For each mission, JPL needs to figure out capital expenditures before a mission and will often buy hardware in advance to support it. Not all of the hardware is always active, especially in the planning stages, so there is a need to achieve greater operational efficiency from money that has already been spent.
“JPL needs open and free technology to make uses of infrastructure,” Chiang said.
NASA’s Jonathan Chiang
Sean Michael Kerner is a senior editor at Datamation and InternetNews.com. Follow him on Twitter @TechJournalist
Graphic courtesy of Shutterstock.
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 2020
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
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 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.