A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud
Joint Authors
Wu, Hao
Jin, Qinggeng
Zhang, Chenghua
Guo, He
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
With the wide deployment of cloud computing in big data processing and the growing scale of big data application, managing reliability of resources becomes a critical issue.
Unfortunately, due to the highly intricate directed-acyclic-graph (DAG) based application and the flexible usage of processors (virtual machines) in cloud platform, the existing fault tolerant approaches are inefficient to strike a balance between the parallelism and the topology of the DAG-based application while using the processors, which causes a longer makespan for an application and consumes more processor time (computation cost).
To address these issues, this paper presents a novel fault tolerant framework named Fault Tolerance Algorithm using Selective Mirrored Tasks Method (FAUSIT) for the fault tolerance of running a big data application on cloud.
First, we provide comprehensive theoretical analyses on how to improve the performance of fault tolerance for running a single task on a processor.
Second, considering the balance between the parallelism and the topology of an application, we present a selective mirrored task method.
Finally, by employing the selective mirrored task method, the FAUSIT is designed to improve the fault tolerance for DAG based application and incorporates two important objects: minimizing the makespan and the computation cost.
Our solution approach is evaluated through rigorous performance evaluation study using real-word workflows, and the results show that the proposed FAUSIT approach outperforms existing algorithms in terms of makespan and computation cost.
American Psychological Association (APA)
Wu, Hao& Jin, Qinggeng& Zhang, Chenghua& Guo, He. 2019. A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212139
Modern Language Association (MLA)
Wu, Hao…[et al.]. A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1212139
American Medical Association (AMA)
Wu, Hao& Jin, Qinggeng& Zhang, Chenghua& Guo, He. A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1212139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212139