To understand the basic and complex differences between cloud and grid computing, we really need to explain both technologies. Here’s how they are defined. Cloud computing ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

A form of distributed computing, edge computing enables compute power to be closer to far-flung sources of data. Written by eWEEK content and product recommendations are editorially independent ...

Folks often get confused about the difference between centralized (a.k.a., asymmetrical or single ended) and distributed (a.k.a., symmetrical or dual-ended) application performance solutions.

The basics of distributed computing. Any time a workload is distributed between two or more computing devices or machines connected by some type of network, that’s distributed computing. There are a ...

Each of these levels has a solution that is a naturally better fit than the others. The key to unlocking the best-fitting IoT solution is understanding the differences between them.

As centralized computing fades into history, enterprise IT's challenge will be to maintain order and efficiency in a distributed environment. The task of automating, managing and provisioning the ...

Today we dive deeper into the differences between centralized and distributed performance optimization solutions. The technical functions that Centralized and Distributed ADS solutions perform are ...

Aside from the locus of control, the key differences between centralized and decentralized networks inextricably lie in what they stand for. Simply put, a centralized network is used to maintain ...