Grid Computing pp 141-149 | Cite as

Characteristics of a Novel Grid Resource Broker cum Meta-Scheduler

  • B. Asvija
  • K.V. Shamjith
  • Henry Sukumar
  • R. Sridharan
  • Mohanram N
  • Prahlada Rao


Modern Service Oriented Grids seamlessly integrate huge sets of distributed, heterogeneous resources that are spread across different administrative and business domains. The authors, in this paper bring out the characteristics of a Novel Grid Broker cum Meta-Scheduler that efficiently manages and harnesses resources in the grids. The requirements of this Federated & Autonomous Resource Management System include handling policy enforcements of Resources, Jobs and Users, addressed at Grid/Community/Site/Individual resource levels. It addresses the requirements with respect to Administrative, User, and Community (Virtual Organization) views. It highlights the requirements from an Application/Domain specific perspective, for maximizing the throughput through fine-tuning and optimizing communication and data storage patterns. The requirements are abstracted for various resource types like Compute, Storage, Data, Memory, Network, and Software in a grid. The need of a Descriptive Language (to formulate these requirements in an unambiguous manner), using Request-Response model is also presented. The features of the popular meta-schedulers available today are compared.


Virtual Organization Resource Discovery Grid Infrastructure Heterogeneous Resource Policy Setting 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Grid Computing: Making the GlobalInfrastructure a Reality - F Berman, G Fox, AJG Hey, T Hey - 2003 –John Wiley & Sons, Inc. New York, NY, USAGoogle Scholar
  2. 2.
    The grid: blueprint for a new computing infrastructure - Foster, CKesselman - 1998 - Morgan Kaufmann Publishers Inc. San Francisco,CA, USAGoogle Scholar
  3. 3.
    Resource Management in OGSA - GGF Common Management Model (CMM) WG -
  4. 4.
    Portable Batch System –
  5. 5.
  6. 6.
  7. 7.
    A Study of Meta-scheduling architectures for high throughputcomputing: Pull versus Push – Vincent Garonne, Andrei Tsaregorodtsev, Eddy CaronGoogle Scholar
  8. 8.
    Conceptual Grid Authorization Framework and Classification – GGF Authorization Frameworks and Mechanisms – WGGoogle Scholar
  9. 9.
    Job Submission Description Language (JSDL) Specification, Version 1.0 – http://forge.
  10. 10.
    A grid-enabled MPI: message passing in heterogeneous distributed computing systems- Ian Foster, Nicholas T Karonis Conference on High Performance Networking and Computing. Proceedings of the 1998 ACM/IEEE conference on SupercomputingGoogle Scholar
  11. 11.
    Ten Actions When SuperScheduling – GGF Scheduling Working GroupGoogle Scholar
  12. 12.
  13. 13.
    Gridway – Meta-scheduling technologies for the grid –
  14. 14.
    Globus Toolkit –
  15. 15.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • B. Asvija
    • 1
  • K.V. Shamjith
  • Henry Sukumar
  • R. Sridharan
  • Mohanram N
  • Prahlada Rao
  1. 1.Centre for Development of Advanced Computing(C-DAC)BangaloreIndia

Personalised recommendations