
Stelios Sotiriadis
Lecturer
Stelios is a computer scientist working in the area of computing systems, working with algorithms that improve the performance of large scale systems. He enjoys exploring data science techniques that span the areas of distributed computing systems including Cloud computing, Internet of Things and applications of statistical learning algorithms for real-time big data analytics. His research directions are shaped around the design and implementation of new techniques and adoption of existing trends for the current systems to become more efficient, interoperable, and reliable and to operate on massive data sets. He is always looking for PhD students, so if you are interested in working in the area of distributed computing systems drop him an email.
Contact Information
- Room
- MAL 151A
- Telephone
- 020 3926 1276
- Email address
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- Personal
- web page
Research
Areas of interest: Distributed computing systems, large scale resource management, cloud computing and big data processing
Research groups
PhD Students
Key Publications
- Adaptive Microservice Scaling for Elastic Applications. (2020)
- Real-Time Anomaly Detection of NoSQL Systems Based on Resource Usage Monitoring. (2020)
- Elastic Load Balancing for Dynamic Virtual Machine Reconfiguration Based on Vertical and Horizontal Scaling. (2019)
- An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. (2018)
- Semantic Aware Online Detection of Resource Anomalies on the Cloud. (2016)