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ACADEMIC REPORT

集群環境下實時應用系統的安全調度

时间 :2019年07月01日 浏覽:次

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Abstract: An increasing number of real-time parallel applications on clusters, such as aircraft control and medical electronics systems, require high quality of security to assure confidentiality, authenticity, and integrity of information. Conventional scheduling algorithms for clusters have been proposed to achieve high performance of parallel applications without security requirements; howev...


Abstract: An increasing number of real-time parallel applications on clusters, such as aircraft control and medical electronics systems, require high quality of security to assure confidentiality, authenticity, and integrity of information. Conventional scheduling algorithms for clusters have been proposed to achieve high performance of parallel applications without security requirements; however, enhancing security of clusters for parallel applications requiring service flexibility remains a challenging problem. In this talk, we will focus on scheduling mechanisms and algorithms for applications with timing and security constraints on clusters. In particular, we will first articulate an adaptive control framework for quality of security in cluster computing systems. The framework is centered on a model of security-sensitive real-time applications and security overhead model. The overhead model is incorporated to measure security overheads incurred by an array of security services, including encryption, authentication, integrity check, and the like. Next, we will shed light on a dynamic real-time scheduling algorithm, or TAPADS (Task Allocation for Parallel Applications with Deadline and Security constraints), which seamlessly integrates security requirements into real-time scheduling for clusters. To quantitatively evaluate the performance TAPADS, we conducted extensive experiments driven by real world applications and traces as well as synthetic benchmarks. We will present experimental results to demonstratively show that TAPADS significantly improves system performance in terms of quality of security and schedulability over the three existing scheduling algorithms.

 

Biosketch:

秦嘯,1974年生,男,博士,湖北武漢人,美國奧本大學計算機科學與軟件工程系教授,計算機系研究生部主任。2011年被太原科技大學聘爲教授,山西省“百人計劃”引進人才。主要研究領域:數據密集型計算、並行與分布式計算,高密度數據存儲等。在ACM/IEEE彙刊等國際頂級學術期刊上發表學術論文40多篇,以及近百余篇國際學術會議論文;主持承擔美國國家自然科學基金項目5項,合作參與了美國國家自然科學基金項目5項;擔任了40多次的國際學術會議程序委員會主席和程序委員會委員;2009年獲美國國家科學基金會傑出青年獎,2010年度獲美國奧本大學青年教授研究成就獎;指導博士研究生22人,碩士研究生13人,其中:指導的博士研究生獲得2010年度、2015年度、2018年度奧本大學優秀博士論文獎。

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