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A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
Mazen Farid1,2, Rohaya Latip1,3, Masnida Hussin1
1Department of Communication Technology and Networks, Universiti Putra Malaysia, Selangor, Serdang, Malaysia.
Peerj. Computer Science
|November 22, 2021
Summary
The Fault and Intrusion-tolerant Workflow Scheduling (FITSW) algorithm enhances cloud-based scientific workflows by improving task completion rates and minimizing completion times, ensuring reliable execution of critical computational tasks.
Area of Science:
- Cloud computing
- Scientific workflows
- Computational science
Background:
- Cloud platforms enable advanced scientific solutions but face risks like security breaches and unauthorized access.
- Attacks on cloud environments can disrupt vital computational tasks, leading to delays, incorrect outputs, and significant costs.
- Ensuring the reliability of cloud-based scientific workflows is crucial for critical, computation-intensive applications.
Purpose of the Study:
- To propose a novel algorithm for enhancing the reliability of cloud-based scientific workflows.
- To address risks associated with security breaches and unauthorized access in cloud environments.
- To improve the efficiency and fault tolerance of scientific workflow execution.
Main Methods:
- The Fault and Intrusion-tolerant Workflow Scheduling (FITSW) algorithm was developed.
- FITSW utilizes task executors composed of multiple virtual machines.
- Key techniques include triplicating sub-tasks, intermediate data decision-making, and deadline partitioning for dynamic task scheduling.
Main Results:
- FITSW demonstrated a 12% increase in success rate compared to the ITSW system.
- The algorithm improved the task completion rate by 6.2%.
- Completion time was reduced by approximately 15.6% using FITSW.
Conclusions:
- FITSW significantly enhances the reliability and efficiency of cloud-based scientific workflows.
- The proposed algorithm offers a robust solution for mitigating risks in cloud computational environments.
- FITSW provides measurable improvements in success rate, task completion, and execution time.
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