Evaluating Multi-Tenant Live Migrations Effects on Performance
| Autor: | Rosinosky, Guillaume, Labba, Chahrazed, Ferme, Vincenzo, Youcef, Samir, Charoy, François, Pautasso, Cesare |
|---|---|
| Přispěvatelé: | Web Scale Trustworthy Collaborative Service Systems (COAST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), University of Lugano, University of Stuttgart, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Rosinosky, Guillaume |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO]
[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI] InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS Performance Multitenancy [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Live migration BPMS [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] |
| Zdroj: | CoopIS 2018-26th International Conference on Cooperative Information Systems CoopIS 2018-26th International Conference on Cooperative Information Systems, Oct 2018, Valetta, Malta. pp.16 |
| Popis: | International audience; Multitenancy is an important feature for all Everything as a Service providers like Business Process Management as a Service. It allows to reduce the cost of the infrastructure since multiple tenants share the same service instances. However, tenants have dynamic workloads. The resource they share may not be sufficient at some point in time. It may require Cloud resource (re-)configurations to ensure a given Quality of Service. Tenants should be migrated without stopping the service from a configuration to another to meet their needs while minimizing operational costs on the provider side. Live migrations reveal many challenges: service interruption must be minimized and the impact on co-tenants should be minimal. In this paper, we investigate live tenants migrations duration and its effects on the migrated tenants as well as the co-located ones. To do so, we propose a generic approach to measure these effects for multi-tenant Software as a Service. Further, we propose a testing framework to simulate workloads, and observe the impact of live migrations on Business Process Management Systems. The experimental results highlight the efficiency of our approach and show that migration time depends on the size of data that have to be transferred and that the effects on co-located tenants should not be neglected. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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