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Cloud SLA relationships in multi-cloud environment: models and practices

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Byoung Seob KimAuthors Info & Claims

ICCMS '17: Proceedings of the 8th International Conference on Computer Modeling and Simulation

Pages 1 - 6

https://doi.org/10.1145/3036331.3050422

Published: 20 January 2017 Publication History

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Abstract

In the past few years, cloud computing has been realized and has achieved advancement. Sincemany cloud systems and providers have been deployed in this world, various models and platforms have been developed to support multiple cloud (i.e., multi-cloud) environments (e.g., inter-cloud, federated cloud, distributed cloud, hybrid cloud, multi-cloud management platform, and cloud service brokerageplatform). Whereas those models provide a multi-cloud environment, they are different according to their objectives, service models, SLA (service level agreement) models, and so on. Even though SLA is considered as a very important issue in cloud computing, SLA relationships in multi-cloud models are not formally described yet. Therefore, in this paper, we introduce various multi-cloud models and analyze the multi-cloud models in term of SLA relationship based on the proposed SLA relationship description model. In addition, this paper introduces open source multi-cloud projects to understand practices in cloud SLA relationships.

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Cited By

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Mechouche JTouihri RSellami MGaaloul W(2022)Conformance checking for autonomous multi-cloud SLA management and adaptationThe Journal of Supercomputing10.1007/s11227-022-04363-078:11(13004-13039)Online publication date: 14-Mar-2022
https://doi.org/10.1007/s11227-022-04363-0
Mechouche JTouihri RSellami MGaaloul W(2021)Towards higher-level description of SLA-aware reconfiguration strategies based on state-machine2021 IEEE International Conference on e-Business Engineering (ICEBE)10.1109/ICEBE52470.2021.00014(1-8)Online publication date: Nov-2021
https://doi.org/10.1109/ICEBE52470.2021.00014
Oesterle SJöhnk JKeller RUrbach NYu X(2020)A contingency lens on cloud provider management processesBusiness Research10.1007/s40685-020-00128-8Online publication date: 2-Nov-2020
https://doi.org/10.1007/s40685-020-00128-8
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Published In

ICCMS '17: Proceedings of the 8th International Conference on Computer Modeling and Simulation

January 2017

207 pages

ISBN:9781450348164

DOI:10.1145/3036331

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Central Queensland University
University of Canberra: University of Canberra

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Association for Computing Machinery

New York, NY, United States

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Published: 20 January 2017

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ICCMS '17

ICCMS '17: 8th International Conference on Computer Modeling and Simulation

January 20 - 23, 2017

Canberra, Australia

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Cited By

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Mechouche JTouihri RSellami MGaaloul W(2022)Conformance checking for autonomous multi-cloud SLA management and adaptationThe Journal of Supercomputing10.1007/s11227-022-04363-078:11(13004-13039)Online publication date: 14-Mar-2022
https://doi.org/10.1007/s11227-022-04363-0
Mechouche JTouihri RSellami MGaaloul W(2021)Towards higher-level description of SLA-aware reconfiguration strategies based on state-machine2021 IEEE International Conference on e-Business Engineering (ICEBE)10.1109/ICEBE52470.2021.00014(1-8)Online publication date: Nov-2021
https://doi.org/10.1109/ICEBE52470.2021.00014
Oesterle SJöhnk JKeller RUrbach NYu X(2020)A contingency lens on cloud provider management processesBusiness Research10.1007/s40685-020-00128-8Online publication date: 2-Nov-2020
https://doi.org/10.1007/s40685-020-00128-8
Yan GMeng FChu D(2017)An Evaluation Methodology of Cloud Service Quality Based on Queuing Model2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)10.1109/ISPA/IUCC.2017.00142(925-930)Online publication date: Dec-2017
https://doi.org/10.1109/ISPA/IUCC.2017.00142

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