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 ...

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.

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 ...

The rise of the Internet has pushed many applications from distributed to centralized. Back in the 1990s, we were all evolving from mainframes to local area networking and client/service development.

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 ...

Keeping the processing nearby is critical to improving performance, and many companies are taking advantage of micro data centers (MDC) for their Edge computing needs. Here is what you need to know ...

These words are not interchangeable though, so in instances like this, it’s important that we appreciate their differences. Let’s get into it. Distributed ledger technology ...