Effect of Fault Tolerance in the Field of Cloud Computing

Parvez, A. H. M. Shahariar; Robel, Md. Robiul Alam; Rouf, M. A.; Podder, Prajoy; Bharati, Subrato

doi:10.1007/978-3-030-33846-6_34

Cited by 8 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fault tolerance requires the development of a blueprint for continuing services even if a few resources in the cloud are down or inaccessible. It prevents network device or computer resources from failures due to any faults in the execution (Parvez, Robel, Rouf, Podder, & Bharati, 2019). Fault tolerance is needed in order to provide assurance for availability and reliability of critical resources as well as task execution.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Tolerant Resource Allocation Scheme for Cloud Computing Environments

Sathiyamoorthi¹,

Keerthika²,

Suresh³

et al. 2021

Journal of Organizational and End User Computing

View full text Add to dashboard Cite

Cloud computing is an optimistic technology that leverages the computing resources to offer globally better and more efficient services than the collection of individual use of internet resources. Due to the heterogeneous and high dynamic nature of resources, failure during resource allocation is a key risk in cloud. Such resource failures lead to delay in tasks execution and have adverse impacts in achieving quality of service (QoS). This paper proposes an effective and adaptive fault tolerant scheduling approach in an effort to facilitate error free task scheduling. The proposed method considers the most impactful parameters such as failure rate and current workload of the resources for optimal QoS. The suggested approach is validated using the CloudSim toolkit based on the commonly used metrics including the resource utilization, average execution time, makespan, throughput, and success rate. Empirical results prove that the suggested approach is more efficient than the benchmark techniques in terms of load balancing and fault tolerance.

show abstract

Section: Introductionmentioning

confidence: 99%