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An Exact Placement Approach for Optimizing Cost and Recovery Time under Faulty Multi-cloud Environments

机译:优化有缺陷多云环境下成本和恢复时间的确切展示方法

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Currently, Cloud brokers bring interoperability and portability of applications across multiple Clouds. In the future, Cloud brokers will offer services based on their knowledge of Cloud providers infrastructure to automatically and cost-effectively overcome performance degradation. In this paper, we present a Mixed-Integer Linear Program (MILP) that provides a cost-effective placement across multiple Clouds. Our MILP formulation considers parameters of Cloud providers such as price, configuration of VMs, network latency, and provisioning time. We evaluate the cost-effectiveness of deploying a Cloud infrastructure into a single or across multiple Cloud providers by using real prices and VM configurations. The results show that in some cases may be cost-effective to distribute the infrastructure across multiple Cloud providers. We also propose three placement policies for faulty multi-Cloud scenarios. The best of these policies minimizes the cost of the Cloud infrastructure under fixed provisioning time values.
机译:目前,云经纪人带来了多个云中的应用程序的互操作性和可移植性。将来,云经纪人将根据他们对云提供商基础设施的知识提供服务,以自动和成本有效地克服性能下降。在本文中,我们介绍了一个混合整数的线性程序(MILP),其在多个云中提供了具有成本效益的放置。我们的MILP配方考虑了云提供商的参数,如价格,虚拟机,网络延迟和配置时间。我们通过使用实际价格和VM配置,评估将云基础架构部署到单个云提供商中的成本效益。结果表明,在某些情况下,在多个云提供商中分配基础架构可能是具有成本效益。我们还提出了三个错误的多云方案的贴片策略。这些策略中最好的最大限度地降低了固定配置时间值下云基础架构的成本。

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