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A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds

Journal Article


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Abstract


  • In recent years, many organizations face challenges when managing

    large amount of data and data-intensive computing tasks. Cloud computing technology

    has been widely-used to alleviate these challenges with its on-demand services

    and distributed architecture. Data replication is one of the most significant

    strategies to decrease the access latency and improve data availability, data reliability

    and resource utilization by creating multiple data copies to geographicallydistributed

    data centers. When a fault occurs at a data center, existing jobs that

    require data access in this data center can be redirected to other data centers,

    where data replicas are available. This paper proposes a utility-based fault handling

    (UBFH) approach to rescue the jobs at the faulty data center. Then a fault

    handling algorithm is developed to determine the direction of job redirection by

    considering the network performance and job attributes. Our main objective is to

    achieve better repairability, job rescue utility and job operation profit. The simulation

    results show that our UBFH approach outperforms HDFS, RR and JSQ

    approaches in all these aspects.

Publication Date


  • 2020

Citation


  • Xie, F., Yan, J. & Shen, J. (2020). A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds. Lecture Notes in Computer Science, 12403 49-63. Virtual International Conference on Cloud Computing

Ro Full-text Url


  • https://ro.uow.edu.au/context/eispapers/article/7834/type/native/viewcontent

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6802

Number Of Pages


  • 14

Start Page


  • 49

End Page


  • 63

Volume


  • 12403

Place Of Publication


  • Germany

Abstract


  • In recent years, many organizations face challenges when managing

    large amount of data and data-intensive computing tasks. Cloud computing technology

    has been widely-used to alleviate these challenges with its on-demand services

    and distributed architecture. Data replication is one of the most significant

    strategies to decrease the access latency and improve data availability, data reliability

    and resource utilization by creating multiple data copies to geographicallydistributed

    data centers. When a fault occurs at a data center, existing jobs that

    require data access in this data center can be redirected to other data centers,

    where data replicas are available. This paper proposes a utility-based fault handling

    (UBFH) approach to rescue the jobs at the faulty data center. Then a fault

    handling algorithm is developed to determine the direction of job redirection by

    considering the network performance and job attributes. Our main objective is to

    achieve better repairability, job rescue utility and job operation profit. The simulation

    results show that our UBFH approach outperforms HDFS, RR and JSQ

    approaches in all these aspects.

Publication Date


  • 2020

Citation


  • Xie, F., Yan, J. & Shen, J. (2020). A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds. Lecture Notes in Computer Science, 12403 49-63. Virtual International Conference on Cloud Computing

Ro Full-text Url


  • https://ro.uow.edu.au/context/eispapers/article/7834/type/native/viewcontent

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6802

Number Of Pages


  • 14

Start Page


  • 49

End Page


  • 63

Volume


  • 12403

Place Of Publication


  • Germany