Collaboration

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Increased Resource, Sharing and Utilization

Enabling a collaborative environment is needed to achieve results that require multiple users or organizations to work together. Whether sharing resources, best practices, data or any other element to achieve a shared end result, organizations need the computing environment and its governing rules to support this collaboration. The following are examples of capabilities, which contribute to effective collaboration:

  • Multi-Cluster Workload Management
    Enable Collaboration and Resource Sharing with Consolidating Access to Multiple Clusters into a Grid
    Share excess capacity on multiple clusters by consolidating them under a single workload manager. Grid’s enable users, groups and projects to more easily share resource and data.
  • Group Sharing Policies
    Enable Collaboration by Overcoming Political Barriers
    With group sharing policies organizations get the controls they need to efficiently share a cluster between multiple groups and the ability to align resource usage to business objectives. Balance competing needs while still maintaining high utilization. Example capabilities include Account and QoS credential rights, Hierarchical Fairshare, Advanced Prioritization, Preemption, and Administrative Reservations.
  • Usage Accounting
    Manage Service Delivery Enforcement, Usage-based Accounting, and optional Chargeback
    Collaboration and sharing is easier when participating organizations can clearly see what was used by whom and that they received their promised allocation. Moab Accounting Manager (MAM) is a fast, easy-to-use accounting management system that allows showback and chargeback for usage tracking and charging for resource or service usage in virtually any computing environments.
  • Multi-tenant HPC as a Service
    Securely Share Resources with Multiple Organizations with Grid-coordinated Elastic Computing
    Elastic Computing allows Moab to add or remove resources from either a local resource pool, remote resource pool or from within a shared cluster. Multi-tenant Elastic Computing expands this concept to support multiple entities with their own securely-separated full HPC management environments.
  • Docker Container Support
    Enable Workload Mobility to Other Systems
    Help users encapsulate the OS and library requirements needed for their application so it can be easily transmitted to another cluster, or even to the cloud where they can collaborate with other users, and project spaces.