An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity.
Journal Article
Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018)
An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. IEEE Transactions on Emerging Topics in Computing, https://doi.org/10.1109/TETC.2018.2794328
Cloud workloads are increasingly heterogeneous such that a single Cloud job may encompass one to several tasks, and tasks belonging to the same job may behave distinctively du...
Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks
Journal Article
Panneerselvam, J., Hardy, J., Liu, L., Yuan, B., & Antonopoulos, N. (2016)
Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. IEEE Access, 4, 9129-9144. https://doi.org/10.1109/access.2016.2602321
Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the c...
An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres
Journal Article
Panneerselvam, J., Liu, L., Lu, Y., & Antonopoulos, N. (2018)
An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. Future Generation Computer Systems, 83, 239-249. https://doi.org/10.1016/j.future.2017.12.064
Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased level of heterogeneity. A single Cloud job may encompass one to several number of tas...