Distributed computing unites autonomous processors over a network to solve tasks that exceed the capacity of any single machine. Systems software in this domain spans operating systems, middleware, ...

Distributed computing erupted onto the scene in 1999 with the release of SETI@home, a nifty program and screensaver (back when people still used those) that sifted through radio telescope signals for ...

One of the most difficult problems with quantum computing relates to increasing the size of the quantum computer. Researchers globally are seeking to solve this "challenge of scale." To bring quantum ...

Distributed systems underpin modern computing environments—from cloud platforms and edge networks to multi-agent grids and software-defined infrastructures. They comprise collections of autonomous ...

Azure Local, powered by Azure Arc, is reshaping the landscape of distributed computing by bringing cloud capabilities to affordable hardware at remote locations. This innovative approach addresses ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Version 1.0.0 of CubeFS was released as open-source in March 2019. It entered the CNCF Sandbox in December 2019, moved to the Incubator in 2022, and graduated as a full CNCF project in January 2025.

This core research area addresses the fundamental study of computing systems across the whole stack, from devices to microelectronics to computer architecture. Embedding of novel computing paradigms, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

A distributed system is comprised of multiple computing devices interconnected with one another via a loosely-connected network. Almost all computing systems and applications today are distributed in ...

Hyderabad IT professional Varun Anish Reddy Yeruva patents an adaptive workflow execution control system leveraging AI and rule-based methods.