Shu Yin

Biography

Education: 2002. 9 – 2006. 7 B. E. in Electrical Engineering Wuhan University of Technology, Wuhan, China 2006. 9 – 2008. 7 M. E. in Electrical Engineering Wuhan University of Technology, Wuhan, China 2008. 7 – 2012. 9 Ph.D in Computer Science Auburn University, Auburn, USA Employment: 2016. 12 – Present: Assistant Professor, PI School of Information Science and Technology ShanghaiTech University, China 2014. 5 – Present: Postdoctoral Researcher National University of Defense Technology, China 2015. 1 – 2016. 12: Associate Professor College of Computer Science & Electronics Engineering, Hunan University, China 2012. 9 -2014. 12: Assistant Professor College of Computer Science & Electronics Engineering, Hunan University, China

Research Interest

1. Reliable Energy-Efficient Storage Systems This project first proposes a modeling frame- work to perform reliability analysis of parallel disks employing energy-saving techniques. Then the project aims at designing new energy-efficient parallel storage systems that retains the system reliability by introducing SSD- HDD hybrid technology. Such project provides an inspiring reliability analysis framework for energy-efficient parallel systems. 2. I/O Pattern Detection via Big Data Analysis This project aims at detecting the I/O access pattern that are generated by specific applications and tuning the energy-efficient systems design so that the systems can be tailored based on the types of applications. 3. MINT : Mathematical Reliability Models for Energy-Efficient Parallel Disk Systems The MINT project aims at developing mathematical reliability models for fault-tolerant energy-aware disk systems. Reliability models, which are used to estimate reliability, have been important tools in the design and development of fault-tolerant computer systems. In the past decade, a variety of practical and useful reliability models have been constructed for disk systems. However, most of these models were developed for non-energy efficient disk systems, thereby making it difficult to apply the existing reliability models to energy-aware disk systems. Therefore, the overall objective of this project is to address the mathematical underpinnings of modeling reliability of energy-efficient parallel disk systems, where fault tolerance and energy- saving techniques will be seamlessly integrated together to conserve energy without sacrificing reliability in parallel disk systems.