Fri, January 09, 2009 — Network World — A virtualization start-up in stealth mode says it will offer technology that aggregates memory and shares it across servers, improving performance of online transaction processing and clustered or grid computing.

RNA Networks, founded in 2006 in Portland, Ore., says it will not come out of stealth mode until Feb. 2 but has posted plenty of information about its technology on its Web site.

RNA says the virtualization of memory removes latency penalties that affect application performance, and that its technology is already being used by a multi-billion dollar global hedge fund to speed up the processing of trades. RNA also has a partnership with Colfax International to combine its memory virtualization software with Colfax's high-performance computing systems.

RNA CEO Clive Cook, previously CEO of wireless broadband company Verilan and telecom software vendor Elematics, calls memory "the third wave of virtualization," after servers and storage.

"Memory virtualization, like server and storage virtualization, offers the benefits of consolidation and compelling cost savings," Cook writes in an article on VMblog.com. "Yet over and above early server and storage implementations, in 2009 memory virtualization will introduce a new way of thinking about virtualization that challenges the way IT manages applications, clustering, the data center, services and business itself." (Compare virtualization products.)

While the words memory and storage are often used interchangeably, Cook says they are not synonymous, noting that data is retrieved from disk storage and then put into memory before it can be used by the processor. Adding storage doesn't necessarily solve problems related to application performance, he writes.

Virtualizing memory extends the memory available to a server beyond its own physical capacity, allows shared memory in clustered or grid computing environments and could be a key enabler of cloud computing in enterprise data centers, he writes.

The speed of an application is often limited because its working data set exceeds availably memory in the physical server, but with memory virtualization the entire working data set can be loaded into memory allowing the processor to access it directly, he explains. While VMware's hypervisor allows the sharing of memory across virtual machines, Cook sees RNA's technology as being complementary to server virtualization rather than competitive to it.

"Memory virtualization paired with x86 server virtualization will drive the adoption of virtual machines into the production data center," Cook argues. "Today, server virtualization has been limited to operational applications, not business-critical applications due to performance and reliability concerns."

Further, virtualization lets memory be distributed and shared across the network, making multiple terabytes of memory available to any application.