login_logout

MS Profiler Module

MS Profiler module for MicroScheduler is a sophisticated workload profiling, analysis and planning solution that provides new levels of intelligence, and visual analysis of your cluster. MS Profiler takes the guesswork out of complex gird configuration, capacity planning and workload scheduling initiatives. This Module is designed to help you create a predictable job process flow by analyzing key utilization metrics that give you visibility into the depth of your workload jobs for up-front planning and analysis to ensure a maximum return on investment. MS Profiler collects node, job and process data and workload utilization statistics for a clear and concise picture of the applications running on the grid and how resources are being used. You can collect data across thousands of servers, plan initiatives based on concrete analysis and increase visibility into ongoing resource utilization.

Optimize Your Data Center

MS Profiler gives enterprises the ability to profile server workloads regardless of whether they reside on physical or virtual hosts. Previously, workload managers had to rely on best-guesses to identify underutilized servers or over-aggressive applications to allocate sufficient resources for current and future needs. MS Profiler provides the visibility and intelligence needed to plan optimize server workloads.

Better Manage Your Cluster Infrastructure

Workload profiling is one of the most effective technologies for improving job run predictive accuracy in corporate workload management flow. In today's technology environment building a cluster and running workload jobs on multi-core processor infrastructures create new challenges. Without effective management jobs can become unwieldy, over taking resources, leading to poor resource utilization of the infrastructure. In this multi-core environment, managing shared resources is also more complicated. MicroScheduler and MS Profiler help enterprises make the most of their investments by profiling, managing and optimizing environments, improving workload predictability, shortening the implementation cycle of major projects, and improving the understanding of workload runs by the users. Discovering process knowledge embedded in the job run itself is one of the significant benefits derived from job profiling.

Key Features

  • Automatically generated job profile reports
  • Web-based dashboard UI
    • View by specific criteria
      • Host
      • Job
      • Process
      • IOPS
      • Bandwidth
      • CPU
      • Device (NFS Filer Server, Local Disk, etc...)
    • Side-by-Side Comparisons
      • Same/Different Jobs
  • View Real-time Usage
    • IOPS
    • Bandwidth
    • CPU
    • Device (NFS Filer Server, Local Disk, etc...)