- Is the Cisco MARS mission going to abort?
- First iPhone worm spreads Rick Astley wallpaper
- 10 stunning 3D buildings made with Google SketchUp
- Open source software ready for big business
- Four reasons to buy (and one reason to avoid) the Droid
Storage analyst Deni Connor focuses on storage, application and infrastructure management in this twice-weekly newsletter.
A memory virtualization vendor this week announced software that allows x86-based servers to share memory and make a pool of memory available for large data sets that require it.
Called RNAcache, the software is the second package from this company – the first was RNAmessenger, software that speeds processing for low-latency applications.
RNAcache is installed on each x86-based server and virtualizes the memory of each server into a pooled and and shared resource. It provides line speed processing for memory-intensive applications such as predictive analysis and modeling and clustered server environments.
RNAcache works Gigabit Ethernet, 10G Ethernet and InfiniBand environments.
According to company claims, in predictive analytics and modeling environments, the software improved capabilities by 20x; for fast Internet applications, queries were sped up 100x.
In an RNAcache-enabled environment, the pooled memory appears to each server as local memory. Metadata management allows the distribution of location-based cache data to each application node, improving performance and scalability.
RNAcache consists of three components: an RNAdriver that lets nodes read and write data into the memory pool; RNAserver, a dedicated or non-dedicated server that lets nodes contribute memory to the pool; and, RNAmanager which provisions, controls and monitor the memory pool.
At this point, RNAcache runs on only Unix or Linux-based servers. It supports RDMA.
Deni Connor is principal analyst for Storage Strategies NOW and host of both the Masters of Storage and Masters of Servers Solution Centers.
Gartner has positioned BMC CONTROL-M in the Leaders Quadrant of their "2009 Magic Quadrant for Job Scheduling." The report assesses the ability to execute and completeness of vision of key vendors in the marketplace. Read a full copy today, courtesy of BMC Software.
Read a compelling case study by EMA, Inc. to learn how Dell uses BMC CONTROL-M to cut cost and increase productivity with workload automation.
A major computer manufacturer uses BMC CONTROL-M and just four people to schedule and run over 85,000 jobs every month. By switching to BMC CONTROL-M, they more than quadrupled the workload without adding a single staff member. See how in this 2-minute video overview.
Partner Content
www.bmc.com
Gartner 2009 Magic Quadrant for Job Scheduling
Gartner has positioned BMC CONTROL-M in the Leaders Quadrant of their "2009 Magic Quadrant for Job Scheduling." The report assesses the ability to execute and completeness of vision of key vendors in the marketplace. Read a full copy today, courtesy of BMC Software.
Download whitepaper
Dell's SMART Approach to Workload Automation
Read a compelling case study by EMA, Inc. to learn how Dell uses BMC CONTROL-M to cut cost and increase productivity with workload automation.
Download whitepaper
Workload Automation Cost Savings 2 Minute Video
A major computer manufacturer uses BMC CONTROL-M and just four people to schedule and run over 85,000 jobs every month. By switching to BMC CONTROL-M, they more than quadrupled the workload without adding a single staff member. See how in this 2-minute video overview.
Go to video
Comment