A Survey of Fault and Intrusion Tolerance Approaches for Scientific Workflow Scheduling in Cloud Computing

Citation

Farid, Mazen and Amodu, Oluwatosin Ahmed and Lim, Heng Siong and Alsayaydeh, Jamil Abedalrahim Jamil and Abdullah, Mohammed Fadhl and Saif, Faten A. (2026) A Survey of Fault and Intrusion Tolerance Approaches for Scientific Workflow Scheduling in Cloud Computing. Computers, 15 (5). p. 304. ISSN 2073-431X

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Abstract

To provide reliable services in the cloud, fault tolerance is perhaps the most important consideration. The inherent sensitivity to failure hampers cloud services’ performance and reliability. As a result, fault tolerance becomes a required characteristic to maintain reliability, which is difficult to provide due to the dynamic architecture and complex interdependencies. To address the issues of cloud reliability, many fault-tolerant approaches have been developed in the literature. This paper presents a recent research survey that seeks to classify the various faults and intrusion tolerance architectures. Furthermore, it provides a thorough critical analysis of existing fault and intrusion tolerance, as well as combined approaches, aimed at enhancing the dependability, availability, and execution of cloud services. The report also includes a comparison of the studied systems’ framework based on various essential criteria such as cost, makespan, reliability, security, resource utilization, energy consumption, and failure ratio. This study aims to comprehensively review this subject for researchers to draw insights from existing patterns in the literature and provide deeper perspectives into some of the challenging issues and prospects. This will enhance the development of highly resilient fault-tolerant and intrusion-resistive scheduling algorithms for current and future cloud applications.

Item Type: Article
Uncontrolled Keywords: Cloud computing, workflow scheduling
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 05 Jun 2026 02:07
Last Modified: 05 Jun 2026 02:07
URII: http://shdl.mmu.edu.my/id/eprint/15979

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