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Efficiency aware scheduling techniques in cloud computing: a descriptive literature review.

Muhammad Usman Sana1, Zhanli Li1

  • 1School of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, Shaanxi, China.

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Summary
This summary is machine-generated.

Cloud computing offers cost-effective scientific workflows with vast resources. This review analyzes cloud resource scheduling algorithms, comparing strategies to guide future research and address challenges.

Keywords:
Cloud computingResource schedulingScheduling algorithmScheduling objectiveScheduling strategies

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Area of Science:

  • Cloud Computing
  • Computer Science
  • Resource Management

Background:

  • Cloud computing provides scalable, cost-effective resources for scientific workflows.
  • Effective resource scheduling is crucial for optimizing cloud environments.
  • Challenges include cost, load balancing, makespan, security, energy, and reliability.

Purpose of the Study:

  • To review and analyze existing cloud resource scheduling algorithms.
  • To compare different scheduling strategies and their outcomes.
  • To identify research gaps and open challenges in cloud scheduling.

Main Methods:

  • Literature review of state-of-the-art scheduling techniques.
  • Comparative analysis of algorithms based on objectives and strategies.
  • Evaluation of outcomes and identification of drawbacks.

Main Results:

  • Various hybrid, heuristic, and meta-heuristic approaches exist for cloud scheduling.
  • Different strategies yield varying results in cost, load balancing, and makespan.
  • Existing methods face limitations in addressing all scheduling objectives simultaneously.

Conclusions:

  • Further research is needed to develop more efficient and comprehensive scheduling algorithms.
  • A roadmap is provided for researchers to propose novel scheduling solutions.
  • Addressing drawbacks of current algorithms will enhance cloud resource management.