A data dependency and access threshold based replication strategy for multi-cloud workflow applications
- Publication Type:
- Conference Proceeding
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11434 LNCS pp. 281 - 293
- Issue Date:
|A Data Dependency and Access Threshold Based Replication Strategy for Multi-cloud Workflow Applications.pdf||Published version||325.89 kB|
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is currently unavailable due to the publisher's embargo.
The embargo period expires on 1 Jan 2020
© Springer Nature Switzerland AG 2019. 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.
Please use this identifier to cite or link to this item: