Amjad Ullah
amjad ullah

Dr Amjad Ullah

Lecturer

 0131 455 4762

  A.Ullah@napier.ac.uk

  

Biography

Amjad Ullah has received his PhD from University of Stirling in 2017 with a thesis on 鈥淭owards a biologically-inspired cloud elasticity framework鈥. 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:
鈥 Cloud computing;
鈥 Cloud-to-Edge ecosystem;
鈥 Internet-of-things (IoT);
鈥 Distributed computing;

More specifically, he is working on problems related:

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

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

School

Research Groups

Themes

Esteem

Conference Organising Activity

  • Program Committee member of 24th UK Workshop on Computational Intelligence

 

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15 results

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Journal Article
Ullah, A., Li, J., Shen, Y., & Hussain, A. (2018)
A control theoretical view of cloud elasticity: taxonomy, survey and challenges. Cluster Computing, 21(4), 1735-1764. https://doi.org/10.1007/s10586-018-2807-6
The lucrative features of cloud computing such as pay-as-you-go pricing model and dynamic resource provisioning (elasticity) attract clients to host their applications over th...

Genetic optimization of fuzzy membership functions for cloud resource provisioning

Conference Proceeding
Ullah, A., Li, J., Hussain, A., & Shen, Y. (2017)
Genetic optimization of fuzzy membership functions for cloud resource provisioning. https://doi.org/10.1109/SSCI.2016.7850088
The successful usage of fuzzy systems can be seen in many application domains owing to their capabilities to model complex systems by exploiting knowledge of domain experts. T...

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