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Petri Net based modeling and analysis for improved resource utilization in cloud computing.

Muhammad Rizwan Ali1, Farooq Ahmad2, Muhammad Hasanain Chaudary2

  • 1Department of Computer Science, Western Norway University of Applied Sciences, Bergen, Norway.

Peerj. Computer Science
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a formal model for Cache-A Replica On Modification (CAROM), a hybrid cloud storage system. The analysis validates CAROM

Keywords:
Cloud computingColored Petri netFormal analysisReplication

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Data Storage Systems

Background:

  • Cloud storage faces challenges with increasing data volumes and energy consumption due to data replication.
  • Erasure codes offer cost savings but introduce computational overhead for data regeneration.
  • Existing hybrid systems like CAROM aim to balance replication and erasure codes for efficiency.

Purpose of the Study:

  • To formally model and analyze the performance of the Cache-A Replica On Modification (CAROM) hybrid file system.
  • To address the lack of formal validation for CAROM's performance in cloud environments.
  • To demonstrate improved resource utilization in cloud storage systems.

Main Methods:

  • Development of a colored Petri net based formal model for CAROM.
  • Conducting formal analysis and simulations to evaluate CAROM's performance.
  • Comparing CAROM's efficiency against traditional replication and erasure coding methods.

Main Results:

  • The formal model and analysis provide a validated performance assessment of CAROM.
  • Demonstrated reduction in access latency and bandwidth consumption compared to existing methods.
  • CAROM shows potential for optimized resource utilization in cloud storage.

Conclusions:

  • CAROM offers a viable hybrid approach to cloud storage, balancing performance and efficiency.
  • Formal modeling and analysis are crucial for validating complex cloud storage systems.
  • This research contributes to more efficient and sustainable cloud resource management.