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Prof. Vernon received the 2019 ACM Sigmetrics Achievement Award in recognition of her record of sustained fundamental contributions to analytic system performance modeling techniques and the use of those techniques to design a wide range of impactful near-optimal hardware, software and communcation system architectures that have known performance properties. Her modeling technique contributions include: (1) customized queueing-theoretic and other analytic techniques that reflect the mechanics of the system and accurately predict measured system performance for various design options, (2) analytic bounds that quantify the opportunity for improvement as well as the target system performance, and (3) customized analytic models that directly derive an optimal system design. She has developed these techniques to address a much broader range of important commercially-relevant system design questions than were previously known to be amenable to analytic modeling, accurately capturing the performance impacts of more complex and detailed system behavior than known to be possible with such abstract models. Moreover, because the simplest analytic model that predicts measured system performance readily yields insight into all performance bottlenecks in a system design, her models have yielded powerful system design insights, including new, and in many cases near-optimal, designs that significantly outperform previous solutions, for: cache coherence protocols, bus arbitration protocols, multi-core/memory interconnection architectures, shared memory architectures for processors with aggressive instruction-level parallelism, system synchronization primitives, operating system semaphore architectures, high-performance parallel job scheduling policies, state-of-the-art high-performance parallel applications - including sparse matrix computations, particle transport codes, large-scale stochastic optimization and real-time ray tracing - running on state-of-the-art large-scale parallel architectures and computational grids, scalable video streaming protocols, distribution networks for popular streaming content, Internet transport protocols, differentiated service Internet link scheduling policies, enterprise storage systems, and flexible manufacturing systems. A key observation from her body of work is that abstract analytic models that predict measured system performance typically require 1/10th - 1/100th, or less, of the development time for accurate system simulators, and a key lesson is that the analytic results frequently uncover significant, previously unknown errors in a complex system (or simuator) implementation. This leads to the important new paradigm that analytic models are also highly valuable for validating simulator and system implementations. Along with her work on analytic modeling and quantitative system design, Prof. Vernon has pioneered the development of new, more precise and insightful characterizations of production high-performance parallel workloads, video server workloads, and network traffic, as well as the development of key new insights into Internet security.
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论文共 75 篇作者统计合作学者相似作者
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Transport protocol performance engineering (2011)
引用23浏览0EI引用
23
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Performance Evaluationno. 9-12 (2007): 948-964
NETWORKING'07: Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet (2007): 912-+
msra(2007)
引用34浏览0引用
34
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ACM SIGMETRICS Performance Evaluation Reviewno. 1 (2006): 359-360
mag(2006)
引用33浏览0引用
33
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Annals of Operations Researchno. 1-4 (2004): 69-94
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