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Fault tolerance in computational grids: perspectives, challenges, and issues.

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Summary
This summary is machine-generated.

This survey introduces a new classification for computational grid problems, aiding researchers in anticipating and addressing issues. Enhanced fault identification is crucial for building dependable and reliable grid environments.

Keywords:
Computational gridDistributed computingFault classificationFault identificationFault tolerance

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Area of Science:

  • Computer Science
  • Distributed Systems
  • High-Performance Computing

Background:

  • Computational grids offer shared access to hardware and software resources for enhanced computational power.
  • Fault tolerance is a critical challenge in maintaining the reliability of computational grid environments.
  • Existing classifications of grid problems are insufficient for comprehensive understanding and mitigation.

Approach:

  • This survey presents an extended classification of problems encountered in computational grid environments.
  • It identifies and categorizes various problem types, including omission, interaction, and timing issues.
  • The study analyzes and examines existing fault tolerance and fault detection mechanisms within grids.

Key Points:

  • A novel, extended classification of computational grid problems is proposed.
  • Problems are identified across different layers of the computational grid infrastructure.
  • Analysis covers a range of fault tolerance and fault detection strategies.

Conclusions:

  • Dependable and reliable computational grids necessitate a stronger focus on fault identification.
  • Adaptive and intelligent fault identification and tolerance techniques are key to improving grid dependability.
  • The proposed classification aids researchers, developers, and maintainers in anticipating and resolving grid issues.