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This study introduces an application-aware job scheduling mechanism (AJSM) for computational Grids. AJSM enhances Grid job scheduling by improving success rates and reducing processing times.

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Area of Science:

  • Computer Science
  • Distributed Computing
  • High-Performance Computing

Background:

  • Computational Grids offer solutions for large-scale, computation-intensive problems.
  • Grid performance is challenged by resource heterogeneity, dynamic availability, and diverse application needs.

Purpose of the Study:

  • To develop a dynamic Grid job scheduling architecture.
  • To propose a Grid job model for application requirements.
  • To investigate commercial interconnection networks for Grids and forecast job transmission times.
  • To introduce an application-aware job scheduling mechanism (AJSM).

Main Methods:

  • Developed a Grid job scheduling architecture with dynamic resource monitoring and decision-making.
  • Proposed a Grid job model to define application requirements.
  • Analyzed commercial interconnection networks to predict job transmission times.
  • Implemented a heuristic application-aware deadline constraint job scheduling algorithm within AJSM.

Main Results:

  • The proposed AJSM significantly increases the number of successfully scheduled Grid jobs compared to existing algorithms.
  • AJSM demonstrates superior performance in minimizing average job processing time and makespan for successfully scheduled jobs.

Conclusions:

  • The application-aware job scheduling mechanism (AJSM) effectively addresses challenges in Grid computing.
  • AJSM offers a robust solution for optimizing Grid job scheduling, leading to improved efficiency and performance.