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Cost-effective, workload-adaptive migration of big data applications to the cloud

Publication ,  Conference
Giannakouris, V; Fernandez, A; Simitsis, A; Babu, S
Published in: Proceedings of the ACM SIGMOD International Conference on Management of Data
June 25, 2019

More than 10,000 enterprises worldwide use the big data stack composed of multiple distributed systems. At Unravel, we build the next-generation APM platform for the big data stack, and we have worked with a representative sample of these enterprises that covers most industry verticals. This sample covers the spectrum of choices for deploying the big data stack across on-premises datacenters, private and public cloud deployments, and hybrid combinations of these. In this paper, we present a solution for assisting enterprises planning the migration of their big data stacks from on-premises deployments to the cloud. Our solution is goal driven and adapts to various migration scenarios. We present the system architecture we built and several cloud mapping options. We also describe a demonstration script that involves practical, real-world use-cases of the path to cloud adoption.

Duke Scholars

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

June 25, 2019

Start / End Page

1909 / 1912
 

Citation

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Giannakouris, V., Fernandez, A., Simitsis, A., & Babu, S. (2019). Cost-effective, workload-adaptive migration of big data applications to the cloud. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1909–1912). https://doi.org/10.1145/3299869.3320240
Giannakouris, V., A. Fernandez, A. Simitsis, and S. Babu. “Cost-effective, workload-adaptive migration of big data applications to the cloud.” In Proceedings of the ACM SIGMOD International Conference on Management of Data, 1909–12, 2019. https://doi.org/10.1145/3299869.3320240.
Giannakouris V, Fernandez A, Simitsis A, Babu S. Cost-effective, workload-adaptive migration of big data applications to the cloud. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. 2019. p. 1909–12.
Giannakouris, V., et al. “Cost-effective, workload-adaptive migration of big data applications to the cloud.” Proceedings of the ACM SIGMOD International Conference on Management of Data, 2019, pp. 1909–12. Scopus, doi:10.1145/3299869.3320240.
Giannakouris V, Fernandez A, Simitsis A, Babu S. Cost-effective, workload-adaptive migration of big data applications to the cloud. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2019. p. 1909–1912.

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

June 25, 2019

Start / End Page

1909 / 1912