Publications

Google Scholar profile

2024

• Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker and Amos Storkey. DAM: Towards a Foundation Model for Forecasting. In Proceedings of the The Twelfth International Conference on Learning Representations (ICLR 2024).

2023

• Artjom Joosen, Ahmed Hassan, Luke Darlow, Martin Asenov, Wang Jianfeng, Rajkarn Singh and Adam Barker. How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads. In Proceedings of 14th Symposium on Cloud Computing (SoCC 2023).
  

• Huawei Cloud Function as a Service (FaaS) data release, October 2023.
  

• Martin Asenov, Qiwen Deng, Gingfung Yeung, and Adam Barker. Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. In Proceedings of 11th IEEE International Conference on Cloud Engineering (IC2E 2023).
  

• Pablo C. Cañizares, Alberto Núñez, Adrián Bernal, M. Emilia Cambronero, and Adam Barker. Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures. Journal of Cloud Computing: Advances, Systems and Applications, Volume 12, Issue 1, October 2023.
  

• Luke Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker. FoldFormer: Sequence Folding and Seasonal Attention for Fine-grained Long-term FaaS Forecasting. In Proceedings of the 3rd Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2023.
  

• Luke Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker. TSMix: time series data augmentation by mixing sources. In Proceedings of the 3rd Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2023.

2021

• Sheriffo Ceesay, Yuhui Lin, and Adam Barker. Adaptive brokerage framework for the cloud with functional testing. In Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing (UCC ’21). ACM 2022, Article 14, pages 1–6.
  

• Sheriffo Ceesay, Yuhui Lin, and Adam Barker. Benchmarking and Performance Modelling of Dataflow with Cycles. In 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies (BDCAT ’21). ACM, pages 91–100.

2020

• Yuhui Lin, Jack Briggs and Adam Barker. FIFE: an Infrastructure-as-Code Based Framework for Evaluating VM Instances from Multiple Clouds. In Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2020), pages 91-100.
  

• Yuhui Lin, Adam Barker and John Thomson. Modelling VM latent characteristics and predicting application performance using semi-supervised non-negative matrix factorization. In Proceedings of the 13th IEEE International Conference on Cloud Computing (CLOUD 2020). Acceptance rate: (65/256): 25%.
  

• Muhammad Tirmazi, Adam Barker, Nan Deng, Md E. Haque, Zhijing Gene Qin, Steven Hand, Mor Harchol-Balter, and John Wilkes. 2020. Borg: the next generation. In Proceedings of the Fifteenth European Conference on Computer Systems (EuroSys ’20). ACM 2020, pages 1–14. Acceptance rate (43/234): 18%.
  

• Yuhui Lin, Adam Barker and Sheriffo Ceesay. Exploring characteristics of inter-cluster machines and cloud applications on Google clusters. In The 4th Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD), in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2020).
  

• Sheriffo Ceesay, Yuhui Lin and Adam Barker, A Survey: Benchmarking and Performance Modelling of Data Intensive Applications. In Proceedings of the 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), pages 67-76.
  

• Google Borg cluster trace, cluster data set release, April 2020.

2019

• Sheriffo Ceesay Ceesay, Adam Barker and Yuhui Lin. Benchmarking and Performance Modelling of MapReduce Communication Pattern. In Proceedings of the 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Sydney, Australia, IEEE, 2019, pages 127-134.
  

• Dawand Sulaiman and Adam Barker. MAMoC-Android: Multisite Adaptive Computation Offloading for Android Applications. In Proceedings of the 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), pages 68-75.

• Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong,Jeremy Singer, Fung Po Tso, Eiko Yoneki, and Mohamed-Faten Zhani. Cloud Futurology. IEEE Computer Magazine, Volume: 52, Issue: 9, September 2019.
  

• Abdessalam Elhabbash, Yehia Elkhatib, Gordon Blair, Yuhui Lin and Adam Barker, A Framework for SLO-driven Cloud Specification and Brokerage. In Proceedings of the 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pages 666-667, 2019.
• Abdessalam Elhabbash, Yehia Elkhatib, Gordon Blair, Yuhui Lin, Adam Barker, and John Thomson. Envisioning SLO-driven Service Selection in Multi-cloud Applications. In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion, pages 9-14, ACM, 2019.
  

• Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai and Adam Barker. Cloud Benchmarking For Maximising Performance of Scientific Applications. In IEEE Transactions on Cloud Computing, vol. 7, no. 1, pp. 170-182, 1 Jan.-March 2019.

2018

• Adam Barker. An Academic’s Observations from a Sabbatical at Google. Communications of the ACM Issue 61, Volume 9 (August 2018), 31-33, 2018.

• Chalee Boonprasop and Adam Barker. 2018. Simplified Cloud Instance Selection. In Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms (CrossCloud 2018), in conjunction with EuroSys 2018, ACM, Article 5, 1–6.

• Nnamdi Ekwe-Ekwe and Adam Barker. 2018. Location, location, location: exploring Amazon EC2 spot instance pricing across geographical regions. In Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2018). IEEE Press, 370–373. Acceptance rate (80/250): 32%.
  

• Long Thai, Blesson Varghese and Adam Barker. A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds. Journal of Future Generation Computer Systems (FGCS), volume 82, pages 1-11, May 2018.

2017

• Dawand Sulaiman and Adam Barker. MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud Applications. In Proceedings of the 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017), pages 17-24, IEEE Computer Society. Acceptance rate (40/136): 29%.
  

• Sheriffo Ceesay, Adam Barker and Blesson Varghese. Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers. In Proceedings of the IEEE Bigdata 2017, pages 2821–2828. IEEE Computer Society, 2017.

• Ole Weidner, Adam Barker and Malcolm Atkinson. Towards a Comprehensive Framework for Telemetry Data in HPC Environments. In Proceedings of the International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2017), in conjunction with the 26th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2017).

• Uchechukwu Awada and Adam Barker. Improving Resource Efficiency of Container-instance Clusters on Clouds. In Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017), pages 929–934, 2017.

2016

• Long Thai, Blesson Varghese and Adam Barker. Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters. In Proceedings of the 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2016), pages 118-125, IEEE, 2016. Acceptance rate (50/193): 26%
  

• Dawand Sulaiman and Adam Barker. Task Offloading Engine for Heterogeneous Mobile Clouds. In Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services (MobiCase 2016).
  

• Ole Weidner, Malcolm Atkinson, Rosa Filgueira Vicente and Adam Barker. Rethinking High Performance Computing Platforms: Challenges, Opportunities and Recommendations. In Proceedings of the 7th International Workshop on Data Intensive Distributed Computing (DIDC 2016), in conjunction with the 25th International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC’16), pages 19–26, ACM 2016.
  

• Long Thai, Blesson Varghese and Adam Barker. Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud. In Proceedings of the 7th International Workshop on Data Intensive Distributed Computing (DIDC 2016), in conjunction with the 25th International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC’16), pages 3-10, ACM 2016.

• Paolo Pareti, Ewan Klein and Adam Barker. Linking Data, Services and Human Know-How. In Proceedings of the 13th European Semantic Web Conference (ESWC 2016), pages 505–520, Springer, 2016.

• Blesson Varghese, Lawan Thamsuhang Subba, Long Thai and Adam Barker. DocLite: A Docker-Based Lightweight CloudBenchmarking Tool. In Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016), pages 213–222, IEEE Computer Society. Acceptance rate: 20%.
  

• Blesson Varghese, Lawan Thamsuhang Subba, Long Thai and Adam Barker. Container-Based Cloud Virtual Machine Benchmarking. In Proceedings of the IEEE International Conference on Cloud Engineering (IC2E 2016), pages 192–201, IEEE Computer Society. Acceptance rate (16/73): 23%.

• Ward Jaradat, Alan Dearle and Adam Barker. Towards an Autonomous Decentralised Orchestration System. Concurrency and Computation: Practice and Experience, volume 28, issue 11, pages 3164–3179, Wiley 2016.

2015

• Chris Schneider, Adam Barker and Simon Dobson. A Survey of Self-Healing Systems Frameworks. Journal of Software: Practice and Experience, volume 45, issue 10, pages 1375–1398, Wiley, October 2015.

• Jonathan Stuart Ward and Adam Barker. Cloud Cover: Monitoring Large-Scale Clouds with Varanus. Journal of Cloud Computing, volume 4, number 1, pages 1–28, Springer, 2015.

• James Wetter, Ozgur Akgun, Adam Barker, Martin Dominik, Ian Miguel and Blesson Varghese. Cloud-based e-Infrastructure for Scheduling Astronomical Observations. In Proceedings of the 11th IEEE International Conference on eScience, pages 362-370, IEEE Computer Society.

• Paolo Pareti, Ewan Klein and Adam Barker. Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay. In Proceedings of ACM Web Science 2015, article number 7, ACM, 2015. Acceptance rate (30/164): 18%.

• Adam Barker, Blesson Varghese and Long Thai. Cloud Services Brokerage: A Survey and Research Roadmap. In Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD 2015), pages 1029-1032, IEEE Computer Society.

• Gary Mcgilvary, Adam Barker and Malcolm Atkinson. Ad hoc Cloud Computing. In Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD 2015), pages 1063-1068, IEEE Computer Society.

• Long Thai, Blesson Varghese and Adam Barker. Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud. In Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD 2015), 975-980, IEEE Computer Society.
  

• Long Thai, Blesson Varghese and Adam Barker. Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources. In Proceedings of the 5th International Conference on Cloud Computing and Services Science (CLOSER), pages 373-380, 2015.

• Long Thai, Blesson Varghese and Adam Barker. Task Scheduling on the Cloud with Hard Constraints. In Proceedings of the 11th World Congress on Services (IEEE SERVICES 2015), pages 95-102, IEEE Computer Society.

• Blesson Varghese, Ishan Patel and Adam Barker. RBioCloud: A Light-weight Framework for Bioconductor and R-based Jobs on the Cloud. In IEEE/ACM Transactions on Computational Biology and Bioinformatics, volume 12, number 4, pages 871-878, July-Aug, 2015

• Chris Schneider, Adam Barker and Simon Dobson. Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives. EAI Endorsed Transactions on Self-Adaptive Systems, 15(1), 2015.

2014

• Jonathan Stuart Ward and Adam Barker. Observing the Clouds: A Survey and Taxonomy of Cloud Monitoring. Journal of Cloud Computing, volume 3, number 1, pages 1–30, Springer, 2014.

• Blesson Varghese and Adam Barker. Are Clouds Ready to Accelerate Ad hoc Financial Simulations? In Proceedings of the 2014 IEEE/ACM International Symposium on Big Data Computing (BDC ’14), pages 54-63, IEEE Computer Society. Acceptance rate (7/40): 22%. Nominated for best paper award.

• Long Thai, Blesson Varghese and Adam Barker. Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost. In Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), pages 400-407, IEEE Computer Society. Acceptance rate (54/301): 18%.

• Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai and Adam Barker. Cloud Benchmarking for Performance. In Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), pages 535-540, IEEE Computer Society. Acceptance rate (54/301): 18%.

• Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun and Ian Miguel. Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud. In Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), pages 811-816, IEEE Computer Society.

• Ward Jaradat, Alan Dearle and Adam Barker. Workflow Partitioning and Deployment on the Cloud using Orchestra. In Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014), pages 251-260, IEEE Computer Society, 2014. Acceptance rate (38/198): 19%.

• Muhammed Asif Saleem, Blesson Varghese and Adam Barker. BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences. In Proceedings of the IEEE International Conference on Big Data (IEEE Big Data 2014), pages 84-91, IEEE Computer Society, 2014.
  

• Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, and Adam Barker. Integrating Know-How into the Linked Data Cloud. In Proceedings of the companion publication of the 23rd international conference on World wide Web, pages 1011-1016, 2014.
  

• Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, and Adam Barker. A Linked Data Approach to Know-How. In Proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014), pages 385-396, Springer, 2014.
  

• Chris Schneider, Adam Barker and Simon Dobson. Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines. In Proceedings of the 11th IEEE International Conference and Workshops on Engineering of Autonomic and Autonomous Systems (EASe 2014).
  

• Adam Barker, Blesson Varghese, Jonathan Stuart Ward and Ian Sommerville. Academic Cloud Computing Research: Five Pitfalls and Five Opportunities. In Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud’14). Acceptance Rate (22/72): 30%.
  

• Jonathan Stuart Ward and Adam Barker. 2014. Self Managing Monitoring for Highly Elastic Large Scale Cloud Deployments. In Proceedings of the 6th International Workshop on Data Intensive Distributed Computing (DIDC 2014), in conjunction with the 23rd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC’14), pages 3-10, ACM 2014.
  

• Paolo Pareti, Ewan Klein and Adam Barker. A Semantic Web of Know-How: Linked Data for Community-Centric Tasks. In Proceedings of the companion publication of the 23rd International Conference on World Wide Web Companion (WWW Companion ’14), pages 1011-1016, International World Wide Web Conferences Steering Committee.
  

• Chris Schneider, Adam Barker and Simon Dobson. Autonomous Fault Detection in Self-Healing Systems: Comparing Hidden Markov Models and Artificial Neural Networks. In Proceedings of the 4th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT’14), pages 24-31, ACM, 2014.

2013

• Michael Luckeneder and Adam Barker. Location, Location, Location: Data-Intensive Distributed Computing in the Cloud. In Proceedings of IEEE CloudCom 2013, pages 647-654, IEEE Computer Society, December 2013. Acceptance Rate (60/337): 18%.
• Gary Mcgilvary, Josep Rius, Íñigo Goiri, Francesc Solsona, Adam Barker and Malcolm Atkinson. C2MS: Dynamic Monitoring and Management of Cloud Infrastructures. In Proceedings of IEEE CloudCom 2013, pages 290-297, IEEE Computer Society, December 2013. Acceptance Rate (60/337): 18%.
• Jonathan Stuart Ward and Adam Barker. Varanus: In Situ Monitoring for Large Scale Cloud Systems. In Proceedings of IEEE CloudCom 2013, pages 341-344, IEEE Computer Society, December 2013.
  

• Vu Dung Nguyen, Blesson Varghese and Adam Barker. The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter. In Proceedings of the IEEE BigData Conference 2013, pages 46-54. IEEE Computer Society, 2013.
• Alex Voss, Adam Barker, Mahboubeh Asgari-Targhi, Adriaan van Ballegooijen and Ian Sommerville. Studying the Sun’s Corona using an Elastic Virtual Infrastructure for Research Applications (ELVIRA). Journal of Cloud Computing: Advances, Systems and Applications, volume 2, number 1, pages 1-11, Springer, 2013.

• Gary A. McGilvary, Adam Barker, Ashley Lloyd and Malcolm Atkinson. V-BOINC: The Virtualization of BOINC. In Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013), pages 285-293. IEEE Computer Society, May 2013. Acceptance rate (57/257): 22%.
  

• Ward Jaradat, Alan Dearle and Adam Barker. An Architecture for Decentralised Orchestration of Web Service Workflows. In Proceedings of IEEE 20th International Conference on Web Services (ICWS 2013), pages 603-604, IEEE Computer Society, June 2013.

• Ward Jaradat, Alan Dearle and Adam Barker. A Dataflow Language for Decentralised Orchestration of Web Service Workflows. In Proceedings of the IEEE Ninth World Congress in Services (SERVICES 2013), pages 13-20, IEEE Computer Society, June 2013.

• Jonathan Ward and Adam Barker. Monitoring Large-Scale Cloud Systems with Layered Gossip Protocols. Proceedings of the 22nd International Symposium on High-performance Parallel and Distributed Computing (HPDC 2013) Poster Track.

• Michael Luckeneder and Adam Barker. Uncovering the Perfect Place: Optimising Workflow Engine Deployment in the Cloud. Proceedings of the 22nd International Symposium on High-performance Parallel and Distributed Computing (HPDC 2013) Poster Track.
  

• Gary McGilvary, Adam Barker, Ashley Lloyd and Malcolm Atkinson. V-BOINC: The Virtualization of BOINC. Proceedings of the 22nd International Symposium on High-performance Parallel and Distributed Computing (HPDC 2013) Poster Track.

2012

• Adam Barker, Jon B. Weissman and Jano I. van Hemert. Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach. IEEE Transactions on Services Computing, volume 5, number 3, pages 437-449, IEEE Computer Society, Third Quarter 2012.
• Jonathan Stuart Ward and Adam Barker. Semantic Based Data Collection for Large Scale Cloud Systems. In Proceedings of the 5th International Workshop on Data Intensive Distributed Computing (DIDC 2012), pages 13-22, ACM, 2012.
  

• Adam Barker. Partitioning Workflows for Decentralized Execution. In Ivan Ivanov, Marten van Sinderen, and Boris Shishkov, editors, Cloud Computing and Services Science, Service Science: Research and Innovations in the Service Economy, pages 131–147, Springer, 2012.

2011

• Adam Barker and Rajkumar Buyya. Decentralised Orchestration of Service-Oriented Scientific Workflows. In Proceedings of the 1st International Conference on Cloud Computing and Services Science (CLOSER 2011), May 2011. Acceptance rate (18/164): 11%.
  

• Paolo Besana and Adam Barker. Towards Decentralised Clinical Decision Support Systems. Advanced Computational Intelligence Paradigms in Healthcare 5, pages 27-44, Springer, 2011.
• Alex Voss, Adam Barker, Mahboubeh Asgari, Adrian van Ballegooijen and Ian Sommerville. Studying the Sun’s Corona using an Elastic Virtual Infrastructure for Research Applications (ELVIRA). In Proceedings of the UK Allhands e-Science Meeting, September 2011.
• Gary McGilvary, Adam Barker and Malcolm P. Atkinson. Optimum Platform Selection and Configuration for Computational Jobs. In Proceedings of the UK Allhands e-Science Meeting, September 2011.

2010 / 2009

• Suraj Pandey, Adam Barker, Kapil Kumar Gupta and Rajkumar Buyya. Minimizing Execution Costs when using Globally Distributed Cloud Services. In Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications (AINA 2010), pages 222-229, IEEE Computer Society, April 2010. Acceptance rate (180/700): 25%.
  

• Adam Barker, Christopher D. Walton and David Robertson. Choreographing Web Services. IEEE Transactions on Services Computing, volume 2, number 2, pages 152-166, IEEE Computer Society, April-June 2009.
• Adam Barker, Jon B. Weissman and Jano I. van Hemert. The Circulate architecture: Avoiding Workflow Bottlenecks Caused By Centralised Orchestration. Springer Journal of Cluster Computing, volume 12, number 2, pages 221-235, Springer, June 2009.
  

• Paolo Besana, Vivek Patkar, Adam Barker, David Glasspool and David Robertson. Sharing Choreographies in OpenKnowledge: A Novel Approach to Interoperability. Journal of Software (JSW), Vol 4, No 8 (2009), pages 833-842, Oct 2009.
  

• D. Robertson, C. Walton, A. Barker, P. Besana, Y. Chen-Burger, F. Hassan, D. Lambert, G. Li, J. McGinnis, N. Osman, A. Bundy, F. McNeill, F. van Harmelen, C. Sierra, F. Giunchiglia. Models of Interaction as a Grounding for Peer to Peer Knowledge Sharing. In E. Chang, T. Dillon, R. Meersman and K. Sycara editors, Advances in Web Semantics, vol 1, LNCS-IFIP, 2009.
  

• Paolo Besana and Adam Barker. An Executable Calculus for Service Choreography. In Proceedings of the 17th International Conference on Cooperative Information Systems (CoopIS 2009), volume 5870 of LNCS, pages 373-380. Springer, November 2009. Acceptance rate: 20%.
  

• Adam Barker, Paolo Besana, David Robertson and Jon B. Weissman. The Benefits Of Service Choreography For Data-Intensive Computing. In Proceedings of the 7th International Workshop on Challenges of Large Applications in Distributed Environments (CLADE’09), in conjunction with HPDC’09: The 18th International Symposium on High Performance Distributed Computing, pages 1-10. ACM, June 2009.
  

• Adam Barker, Jano I. van Hemert, Richard A. Baldock and Malcolm P. Atkinson. An e-Infrastructure to Support Collaborative Embryo Research. In Proceedings of the 9th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), pages 520-525, IEEE Computer Society, May 2009.
  

• Adam Barker, Benjamin Aziz, Alvaro Arenas, Ian Johnson and Brian Matthews. Trust Management of Dynamic Virtual Organisations in XtreemOS. In Proceedings of the UK e-Science All Hands Meeting, Oxford, December 2009.
• Adam Barker, Paolo Besana, Matthew South, David Glasspool and John Fox. Safe and Sound: ICT Services to Ensure Quality and Safety of Patient Care. In Proceedings of the First Workshop on Grand Challenges in ICT and Healthcare, Swansea University, 2009.

2008

• Adam Barker, Jon B. Weissman and Jano van Hemert. Eliminating the Middle Man: Peer-to-Peer Dataflow. In HPDC’08: Proceedings of the 17th International Symposium on High Performance Distributed Computing, pages 55-64, ACM, June 2008. Acceptance rate (18/103): 17%.

• Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson. The Developmental Gene Expression Map Project. In Proceedings of the UK e-Science All Hands Meeting, September 2008.

• Adam Barker, Jon B. Weissman, and Jano van Hemert. Orchestrating Data-Centric Workflows. In Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), pages 210-217, IEEE Computer Society, May 2008. Acceptance rate (65/201): 32%.
• Adam Barker and Jano van Hemert. Scientific Workflow: A Survey and Research Directions. In Roman Wyrzykowski et al., editors, Seventh International Conference on Parallel Processing and Applied Mathematics, Revised Selected Papers, volume 4967 of LNCS, pages 746-753, Springer, 2008.

PhD Publications

• Adam Barker and Robert G. Mann. Flexible Service Composition. In Proceedings of Cooperative Information Agents X, 10th International Workshop, CIA 2006, Edinburgh, September 11-13, 2006, volume 4149 of LNCS, pages 446-460. Springer, 2006.
• Adam Barker and Robert G. Mann. Agent-Based Scientific Workflow Composition. In Proceedings of Astronomical Data Analysis Software and Systems (ADASS) XV, volume 351 of Astronomical Society of the Pacific Conference Series, pages 485-488, 2006.
• Adam Barker. Agent-Based Service Coordination for the Grid. In Proceedings of the International Conference on Intelligent Agent Technology, Compiegne, France, September 19-22, 2005, pages 611-614. IEEE Computer Society.
• Adam Barker. Agents, Consumers of Service-Oriented Architectures. In Proceedings of The First European Young Researchers Workshop on Service Oriented Computing, Leicester, U.K, April 2005.
• C. Walton and Adam Barker. An Agent Based e-Science Experiment Builder. In Proceedings of The 1st International Workshop on Semantic Intelligent Middleware for the Web and the Grid, European Conference on Artificial Intelligence (ECAI), Valencia, Spain, August 2004.

1995

• Adam Barker. Mortal Kombat 2 on the PC? Teletext Digitiser Databank, 20 January 1995.

Technical Reports

• Jonathan Stuart Ward and Adam Barker Undefined By Data: A Survey of Big Data Definitions. arXiv:1309.5821, 2013. Featured in the MIT Technology Review.
  

• Jonathan Stuart Ward and Adam Barker. A Cloud Computing Survey: Developments and Future Trends in Infrastructure as a Service Computing. arXiv:1306.1394, 2013.
  

• Jonathan Stuart Ward and Adam Barker. Monitoring Large-Scale Cloud Systems with Layered Gossip Protocols. arXiv:1305.7403, 2013.

Theses

• Adam Barker. Flexible Service Choreography. PhD Thesis, Centre for Intelligent Systems and their Applications, School of Informatics, University of Edinburgh, 2007.

• Adam Barker. Coordination is Key. MSc by Research, Centre for Intelligent Systems and their Applications, School of Informatics, University of Edinburgh, 2003.
  

• Adam Barker. An Implementation of the OASIS Business Transaction Protocol on the CORBA Activity Service. MSc Thesis, School of Computing Science, Newcastle University, 2002. Thesis completed at Hewlett Packard Arjuna with Mark Little.

Competitive scholarships

• Scottish Crucible 2012.
• Medical Research Council (MRC) 4 year Doctoral studentship: 2002 – 2006.
• Engineering and Physical Sciences Research Council (EPSRC) studentship: 2001 – 2002.
• Engineering and Physical Sciences Research Council (EPSRC) travel grant: Universidad Politechnica de Valencia, 2001.

Copyright notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.