Chairman: Dr. Kevin Suo, Kennesaw State University, USA
Kevin Suo is working as an Assistant Professor at the Department of Computer Science in the College of Computing and Software Engineering at Kennesaw State University since 2019. He obtained Bachelor degree in Software Engineering from Nanjing University in 2012, and Ph.D. degree in Computer Science from University of Texas at Arlington in 2019. His research interests basically lie in cloud computing and internet of things (IoT); operating systems and containers; software defined network (SDN) and network function virtualization (NFV); big data and machine learning systems. He was the Best Paper Awardee of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys) in 2016, the Best Poster Awardee of the ACM Symposium on Cloud Computing (SoCC) in 2017, the Best Paper Awardee of the Southern Association for Information Systems conference in 2020, the Best Short Paper Awardee of the ACM Southeast conference in 2021, and the Best Paper Awardee of the 5th International Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom) in 2022. He serves as reviewers on a number of conferences and journals, including IEEE Journal of Parallel and Distributed Computing (JPDC), IEEE International Conference for Parallel Processing (ICPP), IEEE International Conference on Cloud Computing (CLOUD), IEEE International Performance Computing and Communications Conference (IPCCC), etc.
With the rapid growth of cloud servers and edge computing systems in the IT environment, overall system performance and power consumption are becoming more important. The rise of IoT and 5G connectivity requires massive processing ability while also needing low-power management of the infrastructure. Over time, these requirements will become more important and increasingly stringent. Submissions of research on new high-performance low-power consumption computing are welcome in this special track, especially for various practical applications in interdisciplinary boundaries. Articles submitted to this special track should report original, significant, and previously unpublished results.
The special track currently features the following topics but are not limited to:
- Data Centers and Big Data Computing
- Cloud and Edge Computing
- Energy Efficiency and Management
- Network Measurement and Analysis
- Artificial intelligence (AI)
- Artificial intelligence of things (AIoT)
- Resource Management and Optimization
- QoS Measurement and Control
- Mobile Cloud Infrastructure and Service Models
- Machine Learning for Systems
- Systems for Machine Learning