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CiRBA Announces Version 4.6

TORONTO -- CiRBA Inc., a leader in Data Center Intelligence software, today announced the release of Version 4.6 of its leading virtualization and consolidation analysis software. With Version 4.6, CiRBA adds to its already unmatched workload analysis, enabling organizations to accurately plan and design virtualized infrastructure on any platform including mainframes – according to workload personalities, risk tolerance, service level agreements and performance requirements. This advanced workload modeling also can consider the impact of iSCSI storage and network connectivity on virtualized servers to optimize placements and use of these technologies without adversely impacting performance.

Advanced Workload Benchmarking

Each application has its own distinct workload personality that impacts how it will perform on any given virtualization platform and how well it fits with other resources on a server. Benchmarking is critical in determining how applications will perform in a given environment in order to choose the best virtualization strategy and targets. It is imperative that the right benchmarks are chosen considering the nature of the individual workload to be virtualized. CiRBA Version 4.6 helps teams determine which benchmarks are appropriate for specific workloads and then enables analysis using multiple benchmarks within a single virtual pool, resulting in accurate modeling of combined workloads. CiRBA supports widely used benchmarks including those from Standard Performance Evaluation Corp. (SPEC), Ideas International, and others.

Workload Contention Analysis

Risk mitigation is a major concern for organizations when consolidating production environments. Once it is determined that multiple servers are suitable for consolidation from a business and configuration perspective, workload analysis becomes pivotal. CiRBA Version 4.6 provides probability analysis on workload contention to help drive decisions surrounding the level of risk the organization is willing to tolerate. For example, critical applications that must always provide high performance for transaction processing may be analyzed by specifying a very low “peak contention” tolerance, thereby greatly reducing the risk that workloads will compete for resources and performance will be adversely affected. In other scenarios, such as batch processing or non-production environments where performance is not the main concern, higher contention tolerance levels may be appropriate as the focus is on completion of jobs rather than the speed with which they are completed. CiRBA provides a variety of workload scoring strategies based on peak or sustained activity to be applied in conjunction with tolerance ratings so that organizations can balance service levels, potential risk, and consolidation ratios.

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