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On Dependability, Cost and Security Trade-Off in Cloud Data Centers

机译：关于云数据中心的可靠性，成本和安全性的权衡

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摘要

The performance, dependability, and security of cloud service systems are vital for the ongoing operation, control, and support. Thus, controlled improvement in service requires a comprehensive analysis and systematic identification of the fundamental underlying constituents of cloud using a rigorous discipline. In this paper, we introduce a framework which helps identifying areas for potential cloud service enhancements. A cloud service cannot be completed if there is a failure in any of its underlying resources. In addition, resources are kept offline for scheduled maintenance. We use redundant resources to mitigate the impact of failures/maintenance for ensuring performance and dependability, which helps enhancing security as well. For example, at least 4 replicas are required to defend the intrusion of a single instance or a single malicious attack/fault as defined by Byzantine Fault Tolerance (BFT). Data centers with high performance, dependability, and security are outsourced to the cloud computing environment with greater flexibility of cost of owing the computing infrastructure. In this paper, we analyze the effectiveness of redundant resource usage in terms of dependability metric and cost of service deployment based on the priority of service requests. The trade-off among dependability, cost, and security under different redundancy schemes are characterized through the comprehensive analytical models.
机译：云服务系统的性能，可靠性和安全性对于持续的操作，控制和支持至关重要。因此，对服务的受控改进要求使用严格的规范对云的基本基础组成部分进行全面分析和系统识别。在本文中，我们介绍了一个框架，该框架有助于确定潜在的云服务增强区域。如果任何基础资源出现故障，云服务将无法完成。此外，资源保持脱机状态以进行计划维护。我们使用冗余资源来减轻故障/维护的影响，以确保性能和可靠性，这也有助于增强安全性。例如，需要至少4个副本来防御拜占庭容错（BFT）定义的单个实例或单个恶意攻击/故障的入侵。具有高性能，高可靠性和安全性的数据中心外包给云计算环境，这具有计算基础架构所需的更大成本灵活性。在本文中，我们根据服务请求的优先级，根据可靠性指标和服务部署成本来分析冗余资源使用的有效性。通过全面的分析模型来表征不同冗余方案下可靠性，成本和安全性之间的权衡。

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