A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The concept of “grid computing” was created in the late 1990s by researchers at Argonne National Labs and other places. Like many revolutionary concepts in IT, including the World Wide Web and ...
According to Gartner, if the concept of grid computing meets widespread acceptance, it could forever alter the role of service providers. In an interview with TechRepublic, Bernhard Borges, managing ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Grid computing is an overnight success that has been ...
Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. America’s ...
Grid computing is shaping what a lot of scientists get out of their research nowadays--a message that was echoed by scientists and professors from various sciences in one of the AAAS (American ...
REDWOOD SHORES, Calif. -- April 27, 2004 -- Oracle announced it has joined other industry leaders -- HP, EMC, Fujitsu-Siemens, NEC, Network Appliance and Sun Microsystems -- in founding the Enterprise ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
With an increasing amount and complexity of data in genomics and genetics that is generated by today's high-throughput technologies, the demand for computational power has become an issue that ...
Grid analytics signifies a set of Software-as-a-Service (SaaS) tools to support accurate modeling appropriate for various time scales of decision making at different layers of such complex ...
The combination of edge computing and 5G networks is enabling utilities to manage data more effectively and shrink decision-making and response times, while also reducing the burden on centralized ...
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