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

Plug and Play Bench: simplifying big data benchmarking using containers

Ceesay, S, Barker, AD & Varghese, B 2017, Plug and Play Bench: simplifying big data benchmarking using containers. in 2017 IEEE International Conference on Big Data (IEEE BigData 2017). IEEE Computer Society, Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD), Boston, United States, 11-14 December.

MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications

Sulaiman, DJ & Barker, AD 2017, MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications. in 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017). IEEE, 9th IEEE International Conference on Cloud Computing Technology and Science, Hong Kong, China, 11-14 December.

A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds

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 Proceedings of the 7th International Workshop on Runtime and Operating Systems for Supercomputers ROSS 2017., 5, ACM, New York, 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 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)., 7973800, IEEE, pp. 929-934, The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, 14-17 May. DOI: 10.1109/CCGRID.2017.113

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