Yannis Viniotis
Electrical and Computer Engineering
Professor
Electrical and Computer Engineering
Engineering Building II (EB2) 3062
919.513.4221 candice@ncsu.eduBio
Yannis Viniotis’s current research interests are in service engineering, the design of high-speed networks (with special emphasis on Quality of Service, transport protocols, and ASIC implementations), and network algorithm analysis. In 1992 and 1993, Viniotis chaired two international networking conferences. In 1995, he served as a guest editor for the special issue of the Performance Evaluation Journal on high-speed networks. In 1997, he authored a textbook on probability theory and random processes. In 1998, Dr. Viniotis co-founded Orologic, a successful startup company in RTP; Orologic was acquired by Vitesse Semiconductor Corporation in March 2000. While at Orologic, Viniotis designed two chips for Quality of Service in IP and ATM networks, the first to operate at 2.4 Gbps. In 2004, he authored a textbook on mathematical principles for electrical and computer engineers.
Education
Ph.D. Electrical Engineering University of Maryland 1998
M.S. Electrical Engineering University of Maryland 1985
B.S. Electrical Engineering University of Patras 1981
Area(s) of Expertise
Yannis Viniotis' research interests are in service engineering, the design of high-speed networks (with special emphasis on quality of service, transport protocols, and ASIC implementations), and network algorithm analysis.
Publications
- Evaluation of Platooning Policies Using Reinforcement Learning and Correlated Arrivals , ICC 2025 - IEEE International Conference on Communications (2025)
- Optimal Control for Platooning Under Batch Dispatching Opportunities , IEEE Transactions on Intelligent Transportation Systems (2025)
- Optimal Task Offloading With Firm Deadlines for Mobile Edge Computing Systems , IEEE Transactions on Vehicular Technology (2025)
- Optimal Control for Platooning in Vehicular Networks , ICC 2023 - IEEE International Conference on Communications (2023)
- Optimal Task Offloading Policy in Edge Computing Systems with Firm Deadlines , GLOBECOM 2023 - 2023 IEEE Global Communications Conference (2023)
- Reinforcement Learning for Platooning Control in Vehicular Networks , GLOBECOM 2023 - 2023 IEEE Global Communications Conference (2023)
- Reinforcement-Learning-Based Task Offloading in Edge Computing Systems with Firm Deadlines , GLOBECOM 2023 - 2023 IEEE Global Communications Conference (2023)
- Leveraging Experience Telemetry: Architecture and Data Models , (2022)
- Guarantees for Mix-flows in Inter-Datacenter WANs in Single and Federated Clouds , (2020)
- Clearer than Mud: Extending Manufacturer Usage Description (MUD) for Securing IoT Systems , Lecture notes in computer science (2019)
Grants
DO7 Internet of Things
DO7 Smart Cities
The award will fund research activities aiming to make significant contributions to the capacity planning and automation for monitoring tools by use of modeling, simulation, testbed emulation and on line optimization. Specific goals include the study of models, response surfaces and advanced simulation methods, and, the creation of an automated paradigm for on-line optimization for capacity tuning.
With the increasing demand for high speed, ubiquitous, networking services through applications in E-commerce, digital media, and portable devices, provisioning for ?on-demand? networking services is a very challenging and current issue. Performance monitoring is crucial for maintaining adequate quality of service and customer satisfaction, while maximizing resource utilization. Ensuring performance in an efficient manner creates a need for advanced techniques and tools in all aspects of monitoring, data analysis, simulation, modeling, optimization and control. Our on-demand testbed, currently under establishment, will allow detailed and realistic experimentation at NC State, in parallel with activities at IBM where the students are also spending time as interns. We have already initiated a flexible laboratory testing environment that we envision as a platform for evaluating, testing and improving aspects of software and service management tools (e.g., Tivoli TBSM, ITM etc.). The award will fund research activities aiming to make significant contributions to the capacity planning and automation for monitoring tools by use of modeling, simulation, testbed emulation and on line optimization. Specific goals include: - The study of models, response surfaces and advanced simulation methods, and, - The creation of an automated paradigm for on-line optimization for capacity tuning.
This project examines the issues of engineering networks for signaling and other types of message traffic.
Honors and Awards
- 2009 | Best Paper Award, ICSOFT 2009 Conference
- 1995 | Outstanding Instructor Award, National Technological University
- 1992 | Best Paper Award, The Institute of Management Sciences Southeastern Chapter
- 1989-1991 | Outstanding Instructor Award, National Technological University
- 1985 | George Corcoran Graduate Assistant Award, University of Maryland