基于多目标安全优化的联邦云环境下服务分配

Talal Halabi, Martine Bellaïche
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引用次数: 1

摘要

云联合允许不同云服务提供商(csp)的互连云计算环境共享其资源并提供更高效的服务性能。但是,每个CSP在成本和性能方面提供不同级别的安全性。消费者可以从云联合中获益,并灵活地将服务分配给多个云服务提供商,以满足其所有服务的安全需求,而不是通过单个云服务提供商来消费部署应用程序所需的整套云服务。本文将联邦云环境中的服务分配问题建模为基于安全性的多目标优化问题。该模型允许消费者在将服务分配给csp时考虑三个安全因素之间的权衡:成本、性能和风险。使用我们提出的一套定量指标来评估交付的安全服务的成本和性能。然后,我们使用可以考虑客户优先级的抢占式优化方法来解决问题。仿真结果表明,该模型有助于降低安全性和性能违规率。
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Service Assignment in Federated Cloud Environments Based on Multi-objective Optimization of Security
Cloud federation allows interconnected Cloud Computing environments of different Cloud Service Providers (CSPs) to share their resources and deliver more efficient service performance. However, each CSP provides a different level of security in terms of cost and performance. Instead of consuming the whole set of Cloud services that are required to deploy an application through a single CSP, consumers could benefit from the Cloud federation and flexibly assign the services to multiple CSPs in order to satisfy all their services' security requirements. In this paper, we model the service assignment problem in federated Cloud environments as a Multi-objective optimization problem based on security. The model allows consumers to consider a trade-off between three security factors: cost, performance, and risk, when assigning their services to CSPs. The cost and performance of the delivered security services are evaluated using a set of quantitative metrics which we propose. We then solve the problem using the preemptive optimization method which permits to take into consideration the customer's priorities. Simulations showed that the model helps in reducing the rate of security and performance violations.
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