Learn about Distributed Ledger Technology (DLT), the decentralized network architecture that enhances data security and ...

Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

Chandrashekar Pandugula is a Senior Data Engineer with over nine years of experience, specializing in Cloud Computing, ...

AI scalability hinges not just on more powerful processors but the seamless integration of advanced networking infrastructure to enable efficient distributed computing.

Reviewing progress, lessons learned, and outstanding challenges in cybersecurity two decades after the landmark conference.

Diaconu: As previously mentioned, the challenges of distributed systems, and the broad science around the techniques and mechanisms used to build them, are now well-researched.

Like edge computing, the distributed cloud is a framework that helps bring business data closer to its source.

The company contends that as AI clusters grow in size, there will be distributed computing challenges, and networking will become an increasingly more important piece of the infrastructure buildout.

Surveillance and retaliation compound the risks. Employers monitor workplace communications and sometimes use them to ...

Plus, the PoC’s scalable distributed edge computing approach has been able to bypass all challenges of centralizing geolocation data from millions of vehicles.