VMware Virtual Cloud Foundation (VCF) combines compute, storage, and network virtualization into a single platform, on a subscription basis. This is a departure from the past, when customers were able ...

How do virtualization and cloud usage affect compliance with PCI? QSAs Ben Rothke and David Mundhenk provide practical advice.

From security to ease of access, virtualization is a way of organizing cloud systems and successfully conducting business.

This story, “ Beyond virtualization: Envisioning true cloud computing,” was originally published at InfoWorld.com. Read more of Paul Venezia’s The Deep End blog at InfoWorld.com.

At Interop New York, Cisco touched on the importance of virtualization and cloud computing and how they're on the cusp of exploding.

Because of the huge expense of computers in the 1960s and 1970s, mainframes and minicomputers were time-shared machines, and ...

The race to lay a robust foundation for hybrid cloud computing is likely to be determined by which vendor ultimately puts the most comprehensive stack of software in place across multiple clouds ...

Is moving to virtualization and cloud computing making network security easier or harder? When some 2,100 top IT and security managers in 27 countries were asked, the response revealed a profound ...

While the use of virtualization and cloud computing technologies is growing rapidly, IT managers have concerns about securing such systems and managing their performance, according to Dragoon.

Virtualization provides us the feature of transferring a virtual machine to another machine in case of a failure, that too without the live migration. The top most benefit of such mechanism is to ...

Quick, what is the biggest knock against cloud computing? Is it the difficulty of migrating existing applications? Is it the legal, regulatory, and business risk posed by using external computing ...

Cloud computing, relying heavily on virtualization and automation technologies, provides the requisite infrastructure for AI (artificial intelligence) and machine learning (ML) workloads.