Computer Science @ University of St Andrews

University of St Andrews crest

Prof Adam Barker

Professor - School of Computer Science

Full research profile

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

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

Phone: +44 (0)1334 46 1621

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

Recent Publications

Ekwe-Ekwe, NN & Barker, AD 2018, Location, location, location: exploring Amazon EC2 spot instance pricing across geographical regions. in 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)., 8411048, IEEE Computer Society, pp. 370-373, 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), Washington, United States, 1/05/18. https://doi.org/10.1109/CCGRID.2018.00059

Boonprasop, C & Barker, AD 2018, Simplified cloud instance selection. in Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms (CrossCloud'18)., 5, ACM, New York, NY, 5th Workshop on CrossCloud Infrastructures & Platforms, Porto, Portugal, 23/04/18. https://doi.org/10.1145/3195870.3195875

Sulaiman, DJ & Barker, AD 2017, MAMoC: Multisite Adaptive offloading framework for Mobile Cloud applications. in Proceedings 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017)., 8241086, IEEE, pp. 17-24, 9th IEEE International Conference on Cloud Computing Technology and Science, Hong Kong, China, 11/12/17. https://doi.org/10.1109/CloudCom.2017.34

Ceesay, S, Barker, AD & Varghese, B 2017, Plug and Play Bench: simplifying big data benchmarking using containers. in J-Y Nie, Z Obradovic, T Suzumura, R Ghosh, R Nambiar, C Wang, H Zang, R Baeza-Yates, X Hu, J Kepner, A Cuzzocrea, J Tang & M Toyoda (eds), Proceedings 2017 IEEE International Conference on Big Data (IEEE BigData 2017)., 8258249, IEEE Computer Society, pp. 2821-2828, Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD), Boston, United States, 11/12/17. https://doi.org/10.1109/BigData.2017.8258249

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, 27/06/17. https://doi.org/10.1145/3095770.3095775

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, 14/05/17. https://doi.org/10.1109/CCGRID.2017.113

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, 22/03/17. https://doi.org/10.1145/3018896.3056798

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, 12/12/16. https://doi.org/10.1109/CloudCom.2016.0033