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HP-UX System Administrator's Guide: Overview: HP-UX 11i Version 3 > Chapter 2 HP-UX Virtualization TechnologiesPartitioning (Multiple Operating Systems, One Multi-processor Server) |
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When you have multiple cores available, more virtualization possibilities become available as well. This area of virtualization technology is known as partitioning. There are several types of partitioning available on HP systems, but they fall into two major categories—hardware partitioning and software partitioning. Hardware partitioning is accomplished at the cell board level, using an HP technology called nPartitions. Implemented on servers (Integrity and PA-RISC) that support multiple cell boards, hardware partitioning isolates (both logically and electrically) multiple operating system instances. That is, cell boards, cores, I/O cards, and memory assigned to one hardware partition are available only to the operating system running in that partition. Should problems occur with an operating system, software, or even hardware in one partition, operating systems and software running in other partitions are unaffected. Key Features of Hardware Partitioning Important features of hardware partitioning include:
Software partitioning provides for finer grained partitioning than nPartitions. HP offers two products to accomplish software partitioning: Using either of these two products, you can partition your server at the processing core level. Integrity VM even allows sub-core-level partitioning. Key Features of Software Partitioning Important features of software partitioning include:
The following table compares the three partitioning technologies (nPartitions, vPars, and Integrity Virtual Machines): Table 2-1 A Partitioning Technology Comparison
By themselves, the various server partitioning technologies give you a very flexible compute environment, but you can combine them for even greater flexibility and control. The following illustration shows how nPartitions, vPars, and Integrity Virtual Machines can be combined on a single server to support a large amount of work. |
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