MPHC:在混合云中保护工作流执行的隐私

S. Sharif, J. Taheri, Albert Y. Zomaya, S. Nepal
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引用次数: 26

摘要

云计算的发展是为了响应那些寻求处理复杂分布式应用程序的执行成本的公司的需求。将混合云的概念引入云计算范式会在工作流的资源配置方面带来许多挑战。混合云在充分发挥其潜力方面遇到以下两个主要障碍:(1)由于约束(预算和截止日期)的冲突性质而引起客户的不满;(2)在混合云基础设施中暴露客户的私有数据/工作。我们认为,在截止日期约束下的工作流调度中,对隐私问题的关注太少。有许多算法可以解决成本和时间的权衡问题,然而,它们都没有充分考虑隐私。在本研究中,我们提出了一种算法,该算法在工作流调度中保留隐私,同时仍然考虑客户的最后期限和成本。我们使用运行在私有的基于htcondor的混合云上的真实工作流来评估我们的方法。结果是有希望的,并且证明了我们的方法不仅在降低执行工作流的成本方面是有效的,而且还满足了提交工作流的隐私和截止日期约束。
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MPHC: Preserving Privacy for Workflow Execution in Hybrid Clouds
Cloud computing has been developed in response to demand from companies seeking to deal with the execution cost of their complex distributed applications. Introducing the notion of hybrid clouds to the cloud computing paradigm brings out many challenges in resource provisioning for workflows. Hybrid clouds encounter the following two main obstacles in reaching their full potential: (1) customers' dissatisfaction due to the conflicting nature of the constraints (budget and deadline), and (2) exposure of customers' private data/jobs in hybrid cloud infrastructures. We believe that too little attention is paid to privacy issues for workflow scheduling under deadline constraint. Many algorithms exist to address the cost and time trade-off, however, they suffer from insufficient consideration of privacy. In this study, we present an algorithm that preserves privacy in scheduling of workflows, whilst still considering customers' deadlines and cost. We evaluated our approach using real workflows running on a private HTCondor-based hybrid cloud. Results were promising and demonstrated the efficiency of our approach in not only reducing the cost of executing workflows, but also satisfying both the privacy and deadline constraints of the submitted workflows.
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