All Outputs (2)

Towards workload-aware fine-grained control over cloud resources: student research abstract (2016)
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 during festivals or promotional schemes. In order to maintain the performanc... Read More about Towards workload-aware fine-grained control over cloud resources: student research abstract.

Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning (2016)
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 framework for cloud elasticity utilizing multiple feedback controllers simultaneou... Read More about Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning.