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A data dependency and access threshold based replication strategy for multi-cloud workflow applications

Chapter


Abstract


  • Data replication is one of the significant sub-areas of data management in cloud based workflows. Data-intensive workflow applications can gain great benefits from cloud environments and usually need data management strategies to manage large amounts of data. At the same time, multi-cloud environments become more and more popular. We propose a cost-effective and threshold-based data replication strategy with the consideration of both data dependency and data access times for data-intensive workflows in the multi-cloud environment. Finally, the simulation results show that our approach can greatly reduce total cost of data-intensive workflow applications by considering both of data dependency and data access times in multi-cloud environments.

Publication Date


  • 2019

Citation


  • Xie, F., Yan, J., & Shen, J. (2019). A data dependency and access threshold based replication strategy for multi-cloud workflow applications. In Unknown Book (Vol. 11434 LNCS, pp. 281-293). doi:10.1007/978-3-030-17642-6_24

International Standard Book Number (isbn) 13


  • 9783030176419

Scopus Eid


  • 2-s2.0-85064882817

Web Of Science Accession Number


Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 281

End Page


  • 293

Abstract


  • Data replication is one of the significant sub-areas of data management in cloud based workflows. Data-intensive workflow applications can gain great benefits from cloud environments and usually need data management strategies to manage large amounts of data. At the same time, multi-cloud environments become more and more popular. We propose a cost-effective and threshold-based data replication strategy with the consideration of both data dependency and data access times for data-intensive workflows in the multi-cloud environment. Finally, the simulation results show that our approach can greatly reduce total cost of data-intensive workflow applications by considering both of data dependency and data access times in multi-cloud environments.

Publication Date


  • 2019

Citation


  • Xie, F., Yan, J., & Shen, J. (2019). A data dependency and access threshold based replication strategy for multi-cloud workflow applications. In Unknown Book (Vol. 11434 LNCS, pp. 281-293). doi:10.1007/978-3-030-17642-6_24

International Standard Book Number (isbn) 13


  • 9783030176419

Scopus Eid


  • 2-s2.0-85064882817

Web Of Science Accession Number


Book Title


  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Start Page


  • 281

End Page


  • 293