Grid computing to date has largely been the terrain of academics and start-ups. But established tech companies are now nudging the concept toward the mainstream business world. Stephen Shankland ...

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 ...

The cloud landscape is evolving rapidly in 2026, with new federal regulations like the Senate GRID Act and shifting cost models forcing businesses to rethink their infrastructure strategies. While ...

Cloud computing and grid computing are often mistaken for one another, but the fact is that they’re nowhere close to the same thing. This article explains both systems, and how they differ from one ...

Microsoft has released details about its SecPAL project to encourage collaboration from the grid computing community on methods for greater security and access controls. Microsoft created SecPAL, or ...

IBM, one of the loudest advocates of pooling computing resources with grid technology, has secured a half-dozen new customers. Big Blue announced Wednesday that the new customers will join IBM's ...

The electric power grid is undergoing an unprecedented transformation due to the changing electric generation and load landscape, moving from large-scale solutions to customer-based decentralized and ...

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 ...

Andrew Chien Entropia Peer-to-Peer Working Group Andrew Grimshaw Avaki; U. Virginia Commercial grid software Miron Livny U. Wisconsin, Madison Open-source system to harness idle workstations Steven ...

In genetics, with increasing data sizes and more advanced algorithms for mining complex data, a point is reached where increased computational capacity or alternative solutions becomes unavoidable.

Although grids and clusters may both satisfy high-performance or high-throughput requirements by enabling distributed computing, grids solve the more complicated problem of providing computing ...