Research
I have participated in the research and development of EU-funded projects, such as COLA, during my postdoctoral research experience. MiCADO, the output of the COLA project, is open-source and a highly customisable multi-cloud orchestration and auto-scaling framework for Docker containers orchestrated by Kubernetes. Furthermore, I have joined the RABBDA project, a research collaboration between the UoW and Westminster International University in Tashkent (WIUT), which aims to reduce access barriers to big data analytics tools. I have co-authored research articles in high-quality journals and conference proceedings. I am an active reviewer in IEEE Transactions in Cloud Computing, Journal of Grid Computing and the Journal of Cloud Computing, as well as other conferences.
2020
- ISPDCTowards a cloud native big data platform using micadoIn 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC) 2020
- IWSGScience gateways with embedded ontology-based E-learning supportIn 12th International Workshop on Science Gateways 2020
2019
- CLOUDDynamic virtual machine placement considering CPU and memory resource requirementsIn 2019 IEEE 12th International Conference on Cloud Computing (CLOUD) 2019
- UoMVirtual Machine Consolidation in Cloud Data Centres using a Parameter-based Placement Strategy2019
2018
- ISPDCDynamic tuning for parameter-based virtual machine placementIn 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC) 2018
2017
- ECBS 17Virtual machine consolidation for cloud data centers using parameter-based adaptive allocationIn Proceedings of the Fifth European Conference on the Engineering of Computer-Based Systems 2017
2016
- Optimizing virtual machine placement for energy and SLA in clouds using utility functionsJournal of Cloud Computing 2016