Changes between Version 14 and Version 15 of main_old

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Timestamp:
04/28/11 13:49:43 (12 years ago)
Author:
bartek
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  • main_old

    v14 v15  
    1616 
    1717As many other e-infrastructures controlled by middleware services, !QosCosGrid takes advantage of the GridFTP protocol for large data transfer operations, in particular to stage in and stage out files for advanced simulations. GridFTP is a high-performance, secure, reliable data transfer protocol optimized for high-bandwidth wide area networks. It is a de facto standard for all data transfers in grid and cloud environments and extends the standard FTP protocol with functions such as third-party transfer, parallel and striped data transfer, self-tuning capabilities, X509 proxy certificate-based security, support for reliable and restartable data transfers. The development of GridFTP is coordinated by the GridFTP Working Group under the hood of the Open Grid Forum community. 
     18 
     19== QCG Broker == 
     20The QCG Broker is based on the Grid Resource Management System (GRMS) framework. GRMS was designed to be an open-source meta-scheduling framework that allows developers to build and easily deploy resource management systems to control large-scale distributed computing infrastructures running queuing or batch systems locally.  
     21 
     22Based on dynamic resource selection, advance reservation and various scheduling methodologies, combined with feedback control architecture, QCG Broker deals efficiently with various meta-scheduling challenges, e.g., co-allocation, load-balancing among clusters, remote job control, file staging support or job migration. The main goal of QCG Broker was to manage the whole process of remote job submission and advance reservation to various batch queuing systems and subsequently to underlying clusters and computational resources. It has been designed as an independent core component for resource management processes which can take advantage of various low-level core and grid services and existing technologies, such as QCG BES/AR or QCG Notification, as well as various grid middleware services such as gLite, Globus or Unicore. Addressing various demanding computational needs of large-scale complex simulations, which in many cases can exceed capabilities of a single cluster, the QCG Broker can flexibly distribute and control applications onto many computing clusters or supercomputers on behalf of end users. Moreover, owing to some built-in metascheduling procedures it can optimize and run efficiently a wide range of applications while at the same time increasing the overall throughput of computing e-infrastructures. Advance reservation mechanisms are used to create, synchronize and simultaneously manage the co-allocation of computing resources located at different Administrative Domains. The XML-based job definition language Job Profile makes it relatively easy to specify the requirements of large-scale parallel applications together with the complex parallel communication topologies. Consequently, application developers and end users are able to run their experiments in parallel over multiple clusters as well to perform various benchmark-based experiments as alternative topologies are taken into account during meta-scheduling processes in the GRMS.