Process More Work in Less Time to Maximize ROI

• Achieve higher, more consistent utilization of resource capabilities and capacity with intelligent scheduling that matches job requests to best-suited resources
• Use optimized data staging to ensure remote data availability is synchronized with resource availability to minimize resource blocking
• Achieve better performance with automatic learning which optimizes scheduling decisions based on historical workload results
• Allow local cluster level optimization of most grid workload
• Enable broader resource access with automatic job translation which allows to effectively run on more destination clusters

Grid Control with Automated Tasks, Policies and Reporting

• Guarantee that the most important work is prioritized first with flexible global grid policies that respect local cluster policies and support grid service level agreements
• Ensure availability of key resources and specific times with advanced reservations
• Tune policies prior to roll out with cluster and grid-level simulation
• Use a global view of all grid operations for grid self-diagnostics, planning, reporting and grid-wide and per cluster accounting across all resources, jobs and clusters
• Create Virtual Private Clusters so users only need to see the resources and jobs they have access to without the complexity of seeing or wanting what is off limits

Controls for Cluster Sovereignty and Trusted Sharing

• Guarantee that shared resources are allocated fairly with global policies that fully respect local cluster configuration and needs
• Establish trust between resource owners through built in usage controls, accounting and graphical reporting of usage across all shared resources
• Maintain cluster sovereignty with granular controls over where jobs can originate and where jobs can be processed
• Establish resource ownership and enforce priority access to resources when they want with owner-based prioritization, preemption, and access guarantees

Increase User Productivity

• Reduce end user training and job management with easy-to-use graphical interfaces that automate data migration and leverage unified credential mapping
• Enable end users to easily submit and manage their own jobs through a web browser to minimize the costs of managing a growing base of needy users
• Collaborate more effectively with multi-cluster co-allocation of resources, allowing compute, network, and data resources to be reserved for key projects
• Leverage saved job templates allowing users to quickly submit multiple jobs with minimal changes

Unify Management Across Diverse Independent Clusters

• Unify management across existing internal, external and partner clusters and their diverse resource managers, databases, operating systems and hardware
• Get out-of-the-box local area grid and wide area grid support with scalability to more than 100 clusters and tens of thousands of diverse nodes
• Manage secure access to resources with simple credential mapping or seamless integration with Globus’s advanced security toolset
• Leverage existing data migration technologies such as SCP, GASS or GridFTP