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

  1. ISPDC
    Towards a cloud native big data platform using micado
    Abdelkhalik Mosa, Tamas Kiss, Gabriele Pierantoni, and 3 more authors
    In 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC) 2020
  2. IWSG
    Science gateways with embedded ontology-based E-learning support
    Tamas Kiss, Alexander Bolotov, Gabriele Pierantoni, and 5 more authors
    In 12th International Workshop on Science Gateways 2020

2019

  1. CLOUD
    Dynamic virtual machine placement considering CPU and memory resource requirements
    Abdelkhalik Mosa, and Rizos Sakellariou
    In 2019 IEEE 12th International Conference on Cloud Computing (CLOUD) 2019
  2. UoM
    Virtual Machine Consolidation in Cloud Data Centres using a Parameter-based Placement Strategy
    Abdelkhalik Mosa
    2019

2018

  1. ISPDC
    Dynamic tuning for parameter-based virtual machine placement
    Abdelkhalik Mosa, and Rizos Sakellariou
    In 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC) 2018

2017

  1. ECBS 17
    Virtual machine consolidation for cloud data centers using parameter-based adaptive allocation
    Abdelkhalik Mosa, and Rizos Sakellariou
    In Proceedings of the Fifth European Conference on the Engineering of Computer-Based Systems 2017

2016

  1. Optimizing virtual machine placement for energy and SLA in clouds using utility functions
    Abdelkhalik Mosa, and Norman W Paton
    Journal of Cloud Computing 2016