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Green Software Design - Challenges and Opportunities
Date: 2017/7/26             Browse: 775

Speaker:   Prof. Ziliang Zong

Time:         July 26, 15:00-16:00.

Location:  Room 1A-200  , SIST Building

Inviter:    Prof. Shu Yin


In the past decades, substantial efforts have been made in improving hardware energy efficiency. Software developers benefit automatically without improving code energy efficiency. This trend will change as hardware is now approaching its physical limitation on further improving energy efficiency due to the transistor density wall, the heat wall, and the voltage scaling wall. The excessive power consumption of data centers and the ubiquitous usage of battery-driven devices require innovative research and creative practices in improving software energy efficiency, which brings great opportunities for promoting green software design. On the other hand, green software design faces enormous challenges due to the lack of 1) standards in software industry on designing green software and evaluating software energy efficiency; 2) government-recognized programs to incentivize green software products; 3) in-depth research and mature theories on improving software energy efficiency; 4) easy-to-use infrastructures/tools that allow software developers write green code on their daily programming practices; 5) lack of education and training at the college level and post-degree level. We recently interviewed over 100 people (from government, industry, and academia) on the challenges and opportunities green software is facing. This talk will present our findings, discuss the current ecosystem of green software engineering, and demonstrates our recent practices on building the cloud-based Greensoft system that supports green software research and education.


Dr. Ziliang Zong received his B.S. and M.S. in Computer Science from Shandong University of China in 2002 and 2005 respectively. He received his PhD degree in computer science from Auburn University, United States in 2008. Currently, he is an associate professor at the Computer Science Department of Texas State University. He received the Distinguished Ph.D. Dissertation Award from Auburn University and the Presidential Award for Excellence in Scholarly/Creative Activities from Texas State University. His research interests include energy-efficient computing and systems, big data analytics, parallel programming, and mobile computing. His research has been supported by National Science Foundation, Texas Education Agency, NVidia, IBM, Xilinx, and Huawei. He is the associate editor of Journal of Sustainable Computing (SUSCOM) and has served on the program committee of numerous international conferences such as SC, ICPP, CCGrid, IGSC, NAS, and IEEE International Conference on Big Data.


                                                                                                                                                                                                                                      SIST-Seminar 17025