Towards a Cloud Service for State-Machine Replication
| dc.contributor.author | Heß, Alexander | |
| dc.contributor.author | Hauck, Franz J. | |
| dc.date.accessioned | 2023-02-28T13:02:56Z | |
| dc.date.available | 2023-02-28T13:02:56Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | State-machine replication (SMR) is a well-known technique to achieve fault tolerance for services that require high availability and fast recovery times. While the concept of SMR has been extensively investigated, there are still missing building blocks to provide a generic offer, which automatically serves applications with SMR technology in the cloud. In this work, we introduce a cloud service architecture that enables automatic deployment of service applications based on customer-friendly service parameters, which are mapped onto an internal configuration that comprises the number of replicas, tolerable failures, and the consensus algorithm, amongst other aspects, The deployed service configuration is masked to large extent with the use of threshold signatures. As a consequence, a reconfiguration in the cloud deployment does not affect the client-side code. We conclude the paper by discussing open engineering questions that need to be addressed in order to provide a productive cloud offer. | en |
| dc.identifier.doi | 10.18420/fgbs2023f-02 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40507 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Tagungsband des FG-BS Frühjahrstreffens 2023 | |
| dc.subject | State-Machine Replication | |
| dc.subject | Byzantine Fault Tolerance | |
| dc.subject | Cloud Computing | |
| dc.subject | Service Provisioning | |
| dc.title | Towards a Cloud Service for State-Machine Replication | en |
| dc.type | Text | |
| gi.citation.publisherPlace | Bonn | |
| gi.conference.date | 6.-7. März 2023 | |
| gi.conference.location | Dresden, Deutschland | |
| gi.document.quality | digidoc |
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