As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

The cloud and its underlying technologies, including virtualization, containerization and microservices, are all based on the concept of distributed computing. Identity must follow suit.

Distributed Computing is a concept which denotes the practice of utilising an interconnected network of systems to provide their combined power to remote users – but how is blockchain ...

The concept of distributed computing is simple enough: You take a very large project, slice it up into pieces, and send out individual pieces to PCs for processing.

We show how each of these common multi-agent patterns are transformed into event-driven distributed systems, gaining the operational advantages of data streaming applications and removing the need ...

This hierarchical computing will be distributed locally and run serial up and down the line, so it is not, in the strict way that we are talking about it, distributed computing across the whole. But ...

Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. A key benefit of the technology can be that it takes dramatically less time to ...

Grid computing and cloud computing are two broad subsets of distributed computing. The basics of concurrent programming. This term typically refers to software code that facilitates the performance of ...

Anyscale, a startup founded by a team out of UC Berkeley that created the Ray open-source Python framework for running distributed computing projects, has raised $40 million.