Computer Science @ University of St Andrews

University of St Andrews crest

Dr Adam Barker

Dr Adam Barker

Director of Research

Position: Reader

Research profile

Email (@st-andrews.ac.uk): adam.barker

Office: JC1.21 - Jack Cole Building, North Haugh

Phone: +44 (0)1334 46 1621

Home page: https://adam.host.cs.st-andrews.ac.uk

Recent Publications

Seastar: a comprehensive framework for telemetry data in HPC environments

Weidner, O, Barker, AD & Atkinson, M 2017, Seastar: a comprehensive framework for telemetry data in HPC environments. in International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2017). ACM, International Workshop on Runtime and Operating Systems for Supercomputers, Washington, DC, United States, 27-27 June. DOI: 10.1145/3095770.3095775

Improving resource efficiency of container-instance clusters on clouds

Awada, U & Barker, AD 2017, Improving resource efficiency of container-instance clusters on clouds. in 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017). IEEE, The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, 14-17 May.

Resource efficiency in container-instance clusters

Awada, U & Barker, AD 2017, Resource efficiency in container-instance clusters. in Second International Conference on Internet of Things, Data and Cloud Computing (ICC 2017). ACM, 2nd International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), Cambridge, United Kingdom, 22-23 March. DOI: 10.1145/3018896.3056798

Algorithms for optimising heterogeneous Cloud virtual machine clusters

Thai, LT, Varghese, B & Barker, AD 2016, Algorithms for optimising heterogeneous Cloud virtual machine clusters. in 2016 IEEE International Conference on Cloud Computing Technology and Science., 7830674, IEEE, pp. 118-125, 8th IEEE International Conference on Cloud Computing Technology and Science, Luxembourg, 12-15 December. DOI: 10.1109/CloudCom.2016.0033

Task offloading engine for heterogeneous mobile Clouds

Sulaiman, DJ & Barker, AD 2016, Task offloading engine for heterogeneous mobile Clouds. in Proceedings of The 8th EAI International Conference on Mobile Computing, Applications and Services. ACM, 8th EAI International Conference on Mobile Computing, Applications and Services, Cambridge, United Kingdom, 30-1 December. DOI: 10.4108/eai.30-11-2016.2267048

Cloud benchmarking for maximising performance of scientific applications

Towards an autonomous decentralised orchestration system

Rethinking High Performance Computing platforms: challenges, opportunities and recommendations

Weidner, O, Atkinson, M, Filgueira Vicente, R & Barker, AD 2016, Rethinking High Performance Computing platforms: challenges, opportunities and recommendations. in DIDC '16 Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing. ACM, pp. 19-26, The 7th International Workshop on Data-intensive Distributed Computing (DIDC'16), Kyoto, Japan, 1-1 June. DOI: 10.1145/2912152.2912155

Minimising the execution of unknown Bag-of-Task jobs with deadlines on the Cloud

Thai, LT, Varghese, B & Barker, AD 2016, Minimising the execution of unknown Bag-of-Task jobs with deadlines on the Cloud. in DIDC '16 Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing. ACM, pp. 3-10, The 7th International Workshop on Data-intensive Distributed Computing (DIDC'16), Kyoto, Japan, 1-1 June. DOI: 10.1145/2912152.2912153

DocLite: a Docker-based Lightweight Cloud benchmarking tool

Varghese, B, Subba, LT, Thai, LT & Barker, AD 2016, DocLite: a Docker-based Lightweight Cloud benchmarking tool. in 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE Computer Society, pp. 213-222, IEEE/ACM CCGrid 2016, Cartegena, Colombia, 16-19 May. DOI: 10.1109/CCGrid.2016.14