A Hybrid and Secure Mechanism to Execute Parameter Survey Applications on Local and Public Cloud Resources

2010 IEEE Second International Conference on Cloud Computing Technology and Science Pub Date : 2010-11-30 DOI:10.1109/CloudCom.2010.61

Hao Sun, K. Aida

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引用次数: 8

Abstract

A parameter survey application (PSA) is a typical application running on high-performance computing (HPC) systems. A PSA consists of a lot of independent tasks with different input parameters that are executed in parallel on different CPU cores. Infrastructure-as-a-Service Cloud (IaaS Cloud) is expected to be used as an HPC infrastructure to run PSAs, and some reports have discussed hybrid execution mechanisms to utilize both local resources and IaaS Clouds. However, users still have security problems in running applications with confidential data on an IaaS Cloud. We propose a hybrid and secure execution mechanism to run PSAs utilizing both local computing resources with a batch scheduler and an IaaS Cloud. The proposed mechanism utilizes both local resources and IaaS Clouds to meet the deadline of user applications. We conducted experiments running a natural language processing application, which uses machine learning to detect abusive language on Internet bulletin board systems. The experimental results showed that the proposed mechanism effectively allocated resources and met the deadlines of the user application.

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在本地和公共云资源上执行参数调查应用的混合安全机制

参数测量应用(PSA)是运行在高性能计算系统上的典型应用。PSA由许多具有不同输入参数的独立任务组成，这些任务在不同的CPU内核上并行执行。基础设施即服务云(IaaS云)有望被用作运行psa的高性能计算基础设施，一些报告已经讨论了混合执行机制，以利用本地资源和IaaS云。然而，用户在IaaS云上运行带有机密数据的应用程序时仍然存在安全问题。我们提出了一种混合和安全的执行机制来运行psa，利用本地计算资源与批处理调度程序和IaaS云。建议的机制利用本地资源和IaaS云来满足用户应用程序的最后期限。我们进行了一个运行自然语言处理应用程序的实验，该应用程序使用机器学习来检测互联网公告板系统上的辱骂性语言。实验结果表明，该机制有效地分配了资源，满足了用户应用的时限要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 IEEE Second International Conference on Cloud Computing Technology and Science

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