Mt Xia Announces Automated Consumer Based Virtualization Service

FOR IMMEDIATE RELEASE
(Free-Press-Release.com) March 6, 2007 -- Mt Xia announced today a new offering and a new class of information technology service. The new class of information technology service is being called "Resource Service Provider"TM (RSP) and their offering is a tool set to automate this class of service. This new class of service is aimed primarily at large data center environments seeking to automate the process of providing their customers new systems for running business applications.

This new class of service, RSP, refers to resources associated with computer systems such as CPU, Memory, Networking, and storage. Mt Xia's methodology and tool set provides large data center operators with the option to offer it's customers the ability to dynamically create new systems on an as needed basis. The tool set is designed for non-technical users such as sales personnel or project managers. These users are provided the ability to automatically create complex configurations implementing business continuity, disaster recovery (DR), high availability (HA), and virtualization (VIO).

Currently Mt Xia's methodology and tool set supports IBM's Power 5 architecture and automatically generates new systems running AIX or Linux. When the customer requests a new system or systems to be built, the automated procedure creates them in a virtualized environment utilizing IBM's VIO Server technology. The high availability solution is provided via IBM's HACMP. Disaster recovery is a proprietary system owned and implemented by Mt Xia. Business continuity is configured into all systems whether or not the customer requested DR or HA capabilities.

A unique feature of this methodology and design, is the ability to "over-subscribe" hardware resources. When a new system is built, it is created as a Logical Partition (LPAR) and many LPARs can exist on a single frame, such as an IBM p590. Each LPAR on the frame consumes CPU and memory resources. This design allows these systems to dynamically and automatically reconfigure their utilization of CPU and memory resources, based on load, so that many more LPARs can exist on a frame than an administrator would normally configure. Those LPARs that are running as hot-standby nodes for high availability clusters need only minimal resources to remain active, so CPU and memory are dynamically reduced on these nodes. If a failover occurs, the CPU and memory are dynamically increased to accommodate the increased load.