Cloud Dynamic Load Balancing and Reactive Fault Tolerance Techniques: A Systematic Literature Review (SLR)

• Published in: IEEE access Vol. 10; pp. 71853 - 71873
• Main Authors: Tawfeeg, Tawfeeg Mohmmed, Yousif, Adil, Hassan, Alzubair, Alqhtani, Samar M., Hamza, Rafik, Bashir, Mohammed Bakri, Ali, Awad
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Availability; cloud; Cloud computing; Computer science; Cybersecurity; Dynamic load balancing; Dynamic loads; Fault tolerance; Fault tolerant systems; Literature reviews; Load balancing; Load management; Load modeling; Personal computers; reactive fault tolerance; systematic literature review; Systematic review; Systematics; Virtual environments
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3188645

The computational cloud aims to move traditional computing from personal computers to cloud providers on the internet. Cloud security represents an important research area. Confidentiality, integrity, and availability are the main cloud security characteristics addressed. Cloud providers apply dynamic load balancing and reactive fault tolerance techniques to build secure cloud services to achieve high service availability. Dynamic cloud load balancing approaches distribute submitted tasks to virtual machines during tasks execution and the load of virtual machines is updated based on the system's state. Reactive cloud fault tolerance is activated for system process failures after failure effectively happens. Reactive cloud fault tolerance handles failure after the fault has occurred. Despite the significance of dynamic load balancing and reactive fault tolerance techniques and mechanisms, few reviews focus on these approaches in a systematic, unbiased method focusing on integrating cloud dynamic load balancing and reactive fault tolerance techniques. This paper conducts a systematic literature review of the existing literature concerning reactive fault tolerance, dynamic load balancing, and their integration in their basic approaches, types, frameworks, and future directions.