Enterprises need to support edge-based computing systems, including IoT and other specialized processing that have to occur near the data source. This means that while we spent the past several ...

Now you can process data-hungry and latency-sensitive AI, IoT, productivity and other applications at the edge rather than sending all the data to a central cloud location.

Web 3.0 will rely on decentralized architecture and distributed computing concepts to speed up data flow which is critical for data-heavy applications, as well as to make it more intelligent with ...

2021 will showcase the real power of distributed computing, with significant processing taking place not in centralised servers in the cloud, but on the “edge” of the network, where much of ...

Editor's note: Katherine Dupree is RIoT Marketing Specialist.RIoT is a rapidly growing internet of things users group based in Raleigh. RALEIGH - The cloud dominates business and analytics on the ...

Technical Terms MapReduce: A programming model that simplifies distributed data processing by dividing tasks into map and reduce functions operating in a parallel, fault-tolerant manner.

He and other Gartner analysts will provide more insight into edge computing at the Gartner IT Infrastructure, Operations and Cloud Strategies conference, taking place virtually through Thursday ...

The distributed cloud model can be defined as a public cloud-computing service running in multiple physical locations. Previously, physical location has never been considered relevant when ...

Demand for computing power will continue to grow as AI and other technologies evolve. Canadian startup Distributive has developed a new distributed computing technology that uses idle computers ...

All IoT devices generate terabytes of raw data from sensors or from local transactions, instead sending everything to cloud, role of fog computing is to do as much processing as possible using ...