The GridWay Metascheduler enables large-scale, reliable and efficient sharing of computing resources (clusters, computing farms, servers, supercomputers…), managed by different LRM (Local Resource Management) systems, such as PBS, SGE, LSF, Condor…, within a single organization (enterprise grid) or scattered across several administrative domains (partner or supply-chain grid). GridWay is a Globus project, adhering to Globus philosophy and guidelines for collaborative development and so welcoming code and support contributions from individuals and corporations around the world.

There exist a number of commercial and open source workload management and scheduling systems available today, each one suitable for different underlying computer infrastructures and execution profiles. GridWay stands out from other metascheduling systems because it has been specifically designed to work on top of Globus services, offering the highest functionality, quality of service and reliability on this kind of infrastructures, namely:

• For project and infrastructure directors. GridWay is an open-source community project, adhering to Globus philosophy and guidelines for collaborative development.
• For system integrators. GridWay is highly modular, allowing adaptation to different grid infrastructures and middlewares, and supports several OGF standards. GridWay is fully functional on EGEE, TeraGrid, OSG, NorduGrid…
• For system managers. GridWay gives a scheduling framework similar to that found on local LRM systems, supporting resource accounting and the definition of state-of-the-art scheduling policies.
• For application developers. GridWay implements the OGF standard DRMAA API (C, JAVA, Ruby, Perl and Python bindings), assuring compatibility of applications with LRM systems that implement the standard, such as SGE, Condor, Torque,…
• For end users. GridWay provides a LRM-like CLI for submitting, monitoring, synchronizing and controlling jobs, that could be described using the OGF standard JSDL.

With GridWay, a Grid infrastructure can be exploited and managed in the same way as a local computing cluster. We invite you to check its Metascheduling Functionality Checklist and its benefits for end users and system administrators.