“CHARON: A Secure Cloud-of-Clouds System for Storing and Sharing Big Data”
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|type=article | |type=article | ||
|title=CHARON: A Secure Cloud-of-Clouds System for Storing and Sharing Big Data | |title=CHARON: A Secure Cloud-of-Clouds System for Storing and Sharing Big Data | ||
- | |author=Ricardo Mendes, Tiago Oliveira, Vinicius Vielmo Cogo, Nuno Neves, Alysson Bessani, | + | |author=Ricardo Mendes, Tiago Oliveira, Vinicius Vielmo Cogo, Nuno Ferreira Neves, Alysson Bessani, |
- | |Project=Project:SUPERCLOUD, Project:BioBankCloud, Project:DiSIEM, Project:IRCoC, | + | |Project=Project:SUPERCLOUD, Project:BioBankCloud, Project:DiSIEM, Project:IRCoC, |
|ResearchLine=Fault and Intrusion Tolerance in Open Distributed Systems (FIT) | |ResearchLine=Fault and Intrusion Tolerance in Open Distributed Systems (FIT) | ||
- | |month= | + | |month=oct |
- | |year= | + | |year=2021 |
|abstract=We present CHARON, a cloud-backed storage system capable of storing and sharing big data in a secure, reliable, and efficient way using multiple cloud providers and storage repositories to comply with the legal requirements of sensitive personal data. CHARON implements three distinguishing features: (1) it does not require trust on any single entity, (2) it does not require any client-managed server, and (3) it efficiently deals with large files over a set of geo-dispersed storage services. Besides that, we developed a novel Byzantine-resilient data-centric leasing protocol to avoid write-write conflicts between clients accessing shared repositories. We evaluate CHARON using micro and application-based benchmarks simulating representative workflows from bioinformatics, a prominent big data domain. The results show that our unique design is not only feasible but also presents an end-to-end performance of up to 2.5x better than other cloud-backed solutions. | |abstract=We present CHARON, a cloud-backed storage system capable of storing and sharing big data in a secure, reliable, and efficient way using multiple cloud providers and storage repositories to comply with the legal requirements of sensitive personal data. CHARON implements three distinguishing features: (1) it does not require trust on any single entity, (2) it does not require any client-managed server, and (3) it efficiently deals with large files over a set of geo-dispersed storage services. Besides that, we developed a novel Byzantine-resilient data-centric leasing protocol to avoid write-write conflicts between clients accessing shared repositories. We evaluate CHARON using micro and application-based benchmarks simulating representative workflows from bioinformatics, a prominent big data domain. The results show that our unique design is not only feasible but also presents an end-to-end performance of up to 2.5x better than other cloud-backed solutions. | ||
- | |journal= IEEE Transactions on Cloud Computing | + | |journal=IEEE Transactions on Cloud Computing |
|note=10.1109/TCC.2019.2916856 | |note=10.1109/TCC.2019.2916856 | ||
- | |volume= | + | |volume=9 |
- | |pages= | + | |number=4 |
+ | |pages=1349--1361 | ||
+ | |url=https://ieeexplore.ieee.org/document/8713877 | ||
}} | }} |
Latest revision as of 13:16, 28 March 2022
Ricardo Mendes, Tiago Oliveira, Vinicius Vielmo Cogo, Nuno Ferreira Neves, Alysson Bessani
IEEE Transactions on Cloud Computing, vol. 9, no. 4, pp. 1349–1361, Oct. 2021.
10.1109/TCC.2019.2916856.Abstract: We present CHARON, a cloud-backed storage system capable of storing and sharing big data in a secure, reliable, and efficient way using multiple cloud providers and storage repositories to comply with the legal requirements of sensitive personal data. CHARON implements three distinguishing features: (1) it does not require trust on any single entity, (2) it does not require any client-managed server, and (3) it efficiently deals with large files over a set of geo-dispersed storage services. Besides that, we developed a novel Byzantine-resilient data-centric leasing protocol to avoid write-write conflicts between clients accessing shared repositories. We evaluate CHARON using micro and application-based benchmarks simulating representative workflows from bioinformatics, a prominent big data domain. The results show that our unique design is not only feasible but also presents an end-to-end performance of up to 2.5x better than other cloud-backed solutions.
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Project(s): Project:SUPERCLOUD, Project:BioBankCloud, Project:DiSIEM, Project:IRCoC
Research line(s): Fault and Intrusion Tolerance in Open Distributed Systems (FIT)