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Collaborative SLA and reputation-based trust management in cloud federations

机译：云联合中的协作SLA和基于信誉的信任管理

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摘要

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing. In such complex environments, incorrect selection of deployment platform can lead to underwhelming application performance. This dictates the necessity of Service Level Agreements (SLA) and trust management services in order to enforce performance guarantees and enable customers to simultaneously evaluate their application's performance and give performance indicators for future provider selection. In this paper, we propose a collaborative SLA and Reputation-based Trust Management (RTM) solution for federated cloud environment. The SLA service defines clearly the performance metrics and measures the actual performance of the deployed cloud applications. Based on the SLA, the RTM service of the collaborative solution leverages several technical and user's experience metrics to compute the reliability of the cloud providers and the credibility of the customers. A proof of concept of the collaborative solution in a realistic federated environment is provided and validated. The corresponding experimental results demonstrate that it objectively computes the cloud providers' reputation values under various scenarios. (C) 2019 Elsevier B.V. All rights reserved.
机译：行业和学术界已从单一云提供商范式转变为云联合会和替代模型，这些组织和模型协调了异构资源，例如移动边缘计算和雾计算。在这样复杂的环境中，错误选择部署平台可能会导致应用性能下降。这决定了服务水平协议（SLA）和信任管理服务的必要性，以便执行性能保证，并使客户能够同时评估其应用程序的性能并为将来的提供商选择提供性能指标。在本文中，我们提出了一种针对联合云环境的协作式SLA和基于信誉的信任管理（RTM）解决方案。 SLA服务明确定义了性能指标并衡量了已部署的云应用程序的实际性能。协作解决方案的RTM服务基于SLA，利用多种技术和用户经验指标来计算云提供商的可靠性和客户的信誉。提供并验证了在实际的联邦环境中协作解决方案的概念证明。相应的实验结果表明，它可以在各种情况下客观地计算云提供商的信誉值。 （C）2019 Elsevier B.V.保留所有权利。

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