Amjad Ullah
amjad ullah

Dr Amjad Ullah

Lecturer

Biography

Amjad Ullah has received his PhD from University of Stirling in 2017 with a thesis on “Towards a biologically-inspired cloud elasticity framework”. He has 3+ years of Postdoctoral research experience, where he was actively involved in the cutting-edge research and development of innovation and research-based Horizon 2020 European projects including COLA, CloudiFacturing, ASCLEPIOS, and Digitbrain. He has the experience of co-authored research papers in leading international journals and peer-reviewed international conference proceedings. Amjad actively review for the Journal of Gird computing. He also has strong interest in contributing to the open-source development community. His research interests include in the following areas:
• Cloud computing;
• Cloud-to-Edge ecosystem;
• Internet-of-things (IoT);
• Distributed computing;

More specifically, he is working on problems related:

• Orchestration and run-time management of applications in the cloud;
• Cloud resource provisioning, management and optimisation;
• Cloud auto-scaling (Horizontal and vertical elasticity);
• Performance based scaling policies;
• Deadline based scaling policies to support batch-based applications in the cloud environment;
• Orchestration and run-time management of IoT applications in the Cloud-to-Edge environments;
• Computational offloading in edge computing;

Students project topic ideas are listed here: https://amjad-ullah.netlify.app/#ideas

Date


13 results

Towards workload-aware fine-grained control over cloud resources: student research abstract

Presentation / Conference
Ullah, A. (2016, April)
Towards workload-aware fine-grained control over cloud resources: student research abstract. Paper presented at SAC 2016: Symposium on Applied Computing, Pisa, Italy
The systems deployed over cloud are subject to unpredictable workload conditions that vary from time to time, e.g. an ecommerce website may face higher workloads than normal d...

Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning

Journal Article
Ullah, A., Li, J., Hussain, A., & Yang, E. (2016)
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8(5), 992-1005. https://doi.org/10.1007/s12559-016-9391-y
Cloud elasticity augments applications to dynamically adapt to changes in demand by acquiring or releasing computational resources on the fly. Recently, we developed a framewo...

Survival vs. revenue: modelling and reasoning on population dynamics (WIP)

Conference Proceeding
Bracciali, A., Caravagna, G., & Ullah, A. (2013)
Survival vs. revenue: modelling and reasoning on population dynamics (WIP). In DEVS 13: Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative M&S Symposium
We report on modelling a population dynamics problem by means of stochastic quantitative analysis. We are interested in the tension between survival of the population and reve...

Current Post Grad projects