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个人简介
Research Interests:
My long-time interest is in efficient modeling of large-scale distributed computer systems, using layered queueing to represent resource contention. This can be broken down into subtopics
(1) a fast approximate solution tool called LQNS (work continued by Prof Greg Franks),
(2) methods for finding the structure of models from request traces, and for finding their parameters by nonlinear estimation and regression techniques,
(3) deriving performance models from software designs in UML (the PUMA system and the MARTE profile for UML annotation, with Prof Petriu), and
(4) model-based optimization for better design, configuration and deployment, most recently for cloud management (with Prof Chinneck and Litoiu).
Recent research is focussed on the last topic, which can be summarized as “exploiting models for design and management”.
My long-time interest is in efficient modeling of large-scale distributed computer systems, using layered queueing to represent resource contention. This can be broken down into subtopics
(1) a fast approximate solution tool called LQNS (work continued by Prof Greg Franks),
(2) methods for finding the structure of models from request traces, and for finding their parameters by nonlinear estimation and regression techniques,
(3) deriving performance models from software designs in UML (the PUMA system and the MARTE profile for UML annotation, with Prof Petriu), and
(4) model-based optimization for better design, configuration and deployment, most recently for cloud management (with Prof Chinneck and Litoiu).
Recent research is focussed on the last topic, which can be summarized as “exploiting models for design and management”.
研究兴趣
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ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineeringpp.389-395, (2023)
Journal of Cloud Computingno. 1 (2023): 1-17
Siyu Zhou,C. Murray Woodside
EPEW (2022): 54-68
Siyu Zhou,Murray Woodside
ACM TRANSACTIONS ON MODELING AND PERFORMANCE EVALUATION OF COMPUTING SYSTEMSno. 2-4 (2022): 1-23
COMPANION OF THE 2018 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE '18)pp.175-176, (2018)
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