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2020 – today
- 2024
- [c67]Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey:
DAM: Towards a Foundation Model for Forecasting. ICLR 2024 - [i46]Guoliang He, Gingfung Yeung, Sheriffo Ceesay, Adam Barker:
vPALs: Towards Verified Performance-aware Learning System For Resource Management. CoRR abs/2404.03079 (2024) - [i45]Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey:
DAM: Towards A Foundation Model for Time Series Forecasting. CoRR abs/2407.17880 (2024) - 2023
- [j17]Pablo C. Cañizares, Alberto Núñez, Adrian Bernal, María-Emilia Cambronero, Adam Barker:
Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures. J. Cloud Comput. 12(1): 133 (2023) - [c66]Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker:
How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. SoCC 2023: 443-458 - [c65]Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker:
FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting. EuroMLSys@EuroSys 2023: 71-77 - [c64]Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker:
TSMix: time series data augmentation by mixing sources. EuroMLSys@EuroSys 2023: 109-114 - [c63]Martin Asenov, Qiwen Deng, Gingfung Yeung, Adam Barker:
Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. IC2E 2023: 113-120 - [i44]Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker:
How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads. CoRR abs/2312.10127 (2023) - 2022
- [c62]Adam Barker, Martin Swany:
Distributed Cooperative Reinforcement Learning for Wireless Sensor Network Routing. WCNC 2022: 2565-2570 - 2021
- [c61]Sheriffo Ceesay, Yuhui Lin, Adam Barker:
Benchmarking and Performance Modelling of Dataflow with Cycles. BDCAT 2021: 91-100 - [c60]Sheriffo Ceesay, Yuhui Lin, Adam Barker:
Adaptive brokerage framework for the cloud with functional testing. UCC Companion 2021: 14:1-14:6 - [i43]Chalee Boonprasop, Yuhui Lin, Adam Barker:
A Risk-taking Broker Model to Optimise User Requests placement on On-demand and Contract VMs. CoRR abs/2103.07133 (2021) - 2020
- [c59]Yuhui Lin, Adam Barker, John Thomson:
Modelling VM Latent Characteristics and Predicting Application Performance using Semi-supervised Non-negative Matrix Factorization. CLOUD 2020: 470-474 - [c58]Sheriffo Ceesay, Yuhui Lin, Adam Barker:
A Survey: Benchmarking and Performance Modelling of Data Intensive Applications. BDCAT 2020: 67-76 - [c57]Yuhui Lin, Adam Barker, Sheriffo Ceesay:
Exploring Characteristics of Inter-cluster Machines and Cloud Applications on Google Clusters. IEEE BigData 2020: 2785-2794 - [c56]Muhammad Tirmazi, Adam Barker, Nan Deng, Md E. Haque, Zhijing Gene Qin, Steven Hand, Mor Harchol-Balter, John Wilkes:
Borg: the next generation. EuroSys 2020: 30:1-30:14 - [c55]Yuhui Lin, Jack Briggs, Adam Barker:
FIFE: an Infrastructure-as-Code Based Framework for Evaluating VM Instances from Multiple Clouds. UCC 2020: 91-100 - [i42]Sheriffo Ceesay, Adam Barker, Yuhui Lin:
Benchmarking and Performance Modelling of MapReduce Communication Pattern. CoRR abs/2005.11608 (2020) - [i41]Adam Barker, Martin Swany:
Energy Aware Routing with Computational Offloading for Wireless Sensor Networks. CoRR abs/2011.14795 (2020)
2010 – 2019
- 2019
- [j16]Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani:
Cloud Futurology. Computer 52(9): 68-77 (2019) - [j15]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Maximising Performance of Scientific Applications. IEEE Trans. Cloud Comput. 7(1): 170-182 (2019) - [c54]Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker:
A Framework for SLO-driven Cloud Specification and Brokerage. CCGRID 2019: 666-667 - [c53]Sheriffo Ceesay, Adam Barker, Yuhui Lin:
Benchmarking and Performance Modelling of MapReduce Communication Pattern. CloudCom 2019: 127-134 - [c52]Dawand Sulaiman, Adam Barker:
MAMoC-Android: Multisite Adaptive Computation Offloading for Android Applications. MobileCloud 2019: 68-75 - [c51]Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker, John Thomson:
Envisioning SLO-driven Service Selection in Multi-cloud Applications. UCC Companion 2019: 9-14 - [i40]Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed Faten Zhani:
Cloud Futurology. CoRR abs/1902.03656 (2019) - 2018
- [j14]Adam Barker:
An academic's observations from a sabbatical at Google. Commun. ACM 61(9): 31-33 (2018) - [j13]Long Thai, Blesson Varghese, Adam Barker:
A survey and taxonomy of resource optimisation for executing bag-of-task applications on public clouds. Future Gener. Comput. Syst. 82: 1-11 (2018) - [c50]Nnamdi Ekwe-Ekwe, Adam Barker:
Location, Location, Location: Exploring Amazon EC2 Spot Instance Pricing Across Geographical Regions. CCGrid 2018: 370-373 - [c49]Chalee Boonprasop, Adam Barker:
Simplified Cloud Instance Selection. CrossCloud@EuroSys 2018: 5:1-5:6 - [e1]Adam Barker, Yehia Elkhatib, Mohamed Faten Zhani:
Proceedings of the 5th Workshop on CrossCloud Infrastructures & Platforms, CrossCloud@EuroSys 2018, Porto, Portugal, April 23, 2018. ACM 2018 [contents] - [i39]Nnamdi Ekwe-Ekwe, Adam Barker:
Location, Location, Location: Exploring Amazon EC2 Spot Instance Pricing Across Geographical Regions - Extended Version. CoRR abs/1807.10507 (2018) - [i38]Adam Barker:
An Academic's Observations from a Sabbatical at Google. CoRR abs/1808.09199 (2018) - 2017
- [c48]Sheriffo Ceesay, Adam Barker, Blesson Varghese:
Plug and play bench: Simplifying big data benchmarking using containers. IEEE BigData 2017: 2821-2828 - [c47]Uchechukwu Awada, Adam Barker:
Improving Resource Efficiency of Container-instance Clusters on Clouds. CCGrid 2017: 929-934 - [c46]Dawand Sulaiman, Adam Barker:
MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud Applications. CloudCom 2017: 17-24 - [c45]Ole Weidner, Adam Barker, Malcolm P. Atkinson:
Seastar: A Comprehensive Framework for Telemetry Data in HPC Environments. ROSS@HPDC 2017: 5:1-5:8 - [c44]Uchechukwu Awada, Adam Barker:
Resource efficiency in container-instance clusters. ICC 2017: 181:1-181:5 - [i37]Ole Weidner, Malcolm P. Atkinson, Adam Barker, Rosa Filgueira:
Rethinking High Performance Computing Platforms: Challenges, Opportunities and Recommendations. CoRR abs/1702.05513 (2017) - [i36]Ole Weidner, Malcolm P. Atkinson, Adam Barker:
Towards a Comprehensive Framework for Telemetry Data in HPC Environments. CoRR abs/1707.02639 (2017) - [i35]Dawand Sulaiman, Adam Barker:
MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud Applications. CoRR abs/1711.05518 (2017) - [i34]Long Thai, Blesson Varghese, Adam Barker:
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds. CoRR abs/1711.08973 (2017) - [i33]Sheriffo Ceesay, Adam Barker, Blesson Varghese:
Plug and Play Bench: Simplifying Big Data Benchmarking Using Containers. CoRR abs/1711.09138 (2017) - 2016
- [j12]Ward Jaradat, Alan Dearle, Adam Barker:
Towards an autonomous decentralized orchestration system. Concurr. Comput. Pract. Exp. 28(11): 3164-3179 (2016) - [c43]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool. CCGrid 2016: 213-222 - [c42]Long Thai, Blesson Varghese, Adam Barker:
Algorithms for Optimising Heterogeneous Cloud Virtual Machine Clusters. CloudCom 2016: 118-125 - [c41]Paolo Pareti, Ewan Klein, Adam Barker:
Linking Data, Services and Human Know-How. ESWC 2016: 505-520 - [c40]Long Thai, Blesson Varghese, Adam Barker:
Minimising the Execution of Unknown Bag-of-Task Jobs with Deadlines on the Cloud. DIDC@HPDC 2016: 3-10 - [c39]Ole Weidner, Malcolm P. Atkinson, Adam Barker, Rosa Filgueira Vicente:
Rethinking High Performance Computing Platforms: Challenges, Opportunities and Recommendations. DIDC@HPDC 2016: 19-26 - [c38]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
Container-Based Cloud Virtual Machine Benchmarking. IC2E 2016: 192-201 - [c37]Dawand Sulaiman, Adam Barker:
Task Offloading Engine for Heterogeneous Mobile Clouds. MobiCASE 2016: 147-148 - [i32]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
Container-Based Cloud Virtual Machine Benchmarking. CoRR abs/1601.03872 (2016) - [i31]Paolo Pareti, Ewan Klein, Adam Barker:
A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay. CoRR abs/1603.01722 (2016) - [i30]Blesson Varghese, Lawan Thamsuhang Subba, Long Thai, Adam Barker:
DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool. CoRR abs/1603.07357 (2016) - [i29]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
Integrating Know-How into the Linked Data Cloud. CoRR abs/1604.04506 (2016) - [i28]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking For Maximising Performance of Scientific Applications. CoRR abs/1608.00406 (2016) - 2015
- [j11]Jonathan Stuart Ward, Adam Barker:
Cloud cover: monitoring large-scale clouds with Varanus. J. Cloud Comput. 4: 16 (2015) - [j10]Chris Schneider, Adam Barker, Simon Dobson:
Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives. EAI Endorsed Trans. Self Adapt. Syst. 1(1): e3 (2015) - [j9]Chris Schneider, Adam Barker, Simon A. Dobson:
A survey of self-healing systems frameworks. Softw. Pract. Exp. 45(10): 1375-1398 (2015) - [j8]Blesson Varghese, Ishan Patel, Adam Barker:
RBioCloud: A Light-Weight Framework for Bioconductor and R-based Jobs on the Cloud. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 871-878 (2015) - [c36]Long Thai, Blesson Varghese, Adam Barker:
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud. CLOUD 2015: 975-980 - [c35]Adam Barker, Blesson Varghese, Long Thai:
Cloud Services Brokerage: A Survey and Research Roadmap. CLOUD 2015: 1029-1032 - [c34]Gary A. McGilvary, Adam Barker, Malcolm P. Atkinson:
Ad Hoc Cloud Computing. CLOUD 2015: 1063-1068 - [c33]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources. CLOSER 2015: 373-380 - [c32]James Wetter, Ozgur Akgun, Adam Barker, Martin Dominik, Ian Miguel, Blesson Varghese:
Cloud-based E-Infrastructure for Scheduling Astronomical Observations. e-Science 2015: 362-370 - [c31]Long Thai, Blesson Varghese, Adam Barker:
Task Scheduling on the Cloud with Hard Constraints. SERVICES 2015: 95-102 - [c30]Paolo Pareti, Ewan Klein, Adam Barker:
A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay. WebSci 2015: 7:1-7:5 - [i27]Chris Schneider, Adam Barker, Simon Dobson:
Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines. CoRR abs/1501.01501 (2015) - [i26]Gary Andrew McGilvary, Adam Barker, Malcolm P. Atkinson:
Ad hoc Cloud Computing. CoRR abs/1505.08097 (2015) - [i25]Adam Barker, Blesson Varghese, Long Thai:
Cloud Services Brokerage: A Survey and Research Roadmap. CoRR abs/1506.00485 (2015) - [i24]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources. CoRR abs/1506.00590 (2015) - [i23]Long Thai, Blesson Varghese, Adam Barker:
Budget Constrained Execution of Multiple Bag-of-Tasks Applications on the Cloud. CoRR abs/1507.05467 (2015) - [i22]Long Thai, Blesson Varghese, Adam Barker:
Task Scheduling on the Cloud with Hard Constraints. CoRR abs/1507.05470 (2015) - 2014
- [j7]Jonathan Stuart Ward, Adam Barker:
Observing the clouds: a survey and taxonomy of cloud monitoring. J. Cloud Comput. 3: 24 (2014) - [c29]Blesson Varghese, Adam Barker:
Are Clouds Ready to Accelerate Ad Hoc Financial Simulations? BDC 2014: 54-63 - [c28]Muhammed Asif Saleem, Blesson Varghese, Adam Barker:
BigExcel: A web-based framework for exploring big data in social sciences. IEEE BigData 2014: 84-91 - [c27]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-Offs between Performance and Cost. CloudCom 2014: 400-407 - [c26]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Performance. CloudCom 2014: 535-540 - [c25]Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel:
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud. CloudCom 2014: 811-816 - [c24]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
A Linked Data Approach to Know-How. EKAW (Satellite Events) 2014: 168-171 - [c23]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
Integrating Know-How into the Linked Data Cloud. EKAW 2014: 385-396 - [c22]Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville:
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities. HotCloud 2014 - [c21]Jonathan Stuart Ward, Adam Barker:
Self managing monitoring for highly elastic large scale cloud deployments. DICT@HPDC 2014: 3-10 - [c20]Ward Jaradat, Alan Dearle, Adam Barker:
Workflow Partitioning and Deployment on the Cloud Using Orchestra. UCC 2014: 251-260 - [c19]Paolo Pareti, Ewan Klein, Adam Barker:
A semantic web of know-how: linked data for community-centric tasks. WWW (Companion Volume) 2014: 1011-1016 - [i21]Adam Barker, Blesson Varghese, Jonathan Stuart Ward, Ian Sommerville:
Academic Cloud Computing Research: Five Pitfalls and Five Opportunities. CoRR abs/1406.4974 (2014) - [i20]Ward Jaradat, Alan Dearle, Adam Barker:
Workflow Partitioning and Deployment on the Cloud using Orchestra. CoRR abs/1409.8098 (2014) - [i19]Michael Luckeneder, Adam Barker:
Uncovering the Perfect Place: Optimising Workflow Engine Deployment in the Cloud. CoRR abs/1410.5976 (2014) - [i18]Long Thai, Blesson Varghese, Adam Barker:
Executing Bag of Distributed Tasks on the Cloud: Investigating the Trade-offs Between Performance and Cost. CoRR abs/1410.8357 (2014) - [i17]Long Thai, Adam Barker, Blesson Varghese, Ozgur Akgun, Ian Miguel:
Optimal Deployment of Geographically Distributed Workflow Engines on the Cloud. CoRR abs/1410.8359 (2014) - [i16]Paolo Pareti, Ewan Klein, Adam Barker:
A Semantic Web of Know-How: Linked Data for Community-Centric Tasks. CoRR abs/1410.8808 (2014) - [i15]Blesson Varghese, Ozgur Akgun, Ian Miguel, Long Thai, Adam Barker:
Cloud Benchmarking for Performance. CoRR abs/1411.0912 (2014) - [i14]Muhammed Asif Saleem, Blesson Varghese, Adam Barker:
BigExcel: A Web-Based Framework for Exploring Big Data in Social Sciences. CoRR abs/1411.1215 (2014) - [i13]Blesson Varghese, Adam Barker:
Are Clouds Ready to Accelerate Ad hoc Financial Simulations? CoRR abs/1412.4556 (2014) - 2013
- [j6]Alexander Voß, Adam Barker, Mahboubeh Asgari-Targhi, Adriaan van Ballegooijen, Ian Sommerville:
An elastic virtual infrastructure for research applications (ELVIRA). J. Cloud Comput. 2: 20 (2013) - [c18]Vu Dung Nguyen, Blesson Varghese, Adam Barker:
The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter. IEEE BigData 2013: 46-54 - [c17]Gary A. McGilvary, Adam Barker, Ashley D. Lloyd, Malcolm P. Atkinson:
V-BOINC: The Virtualization of BOINC. CCGRID 2013: 285-293 - [c16]Gary A. McGilvary, Josep Rius, Iñigo Goiri, Francesc Solsona, Adam Barker, Malcolm P. Atkinson:
C2MS: Dynamic Monitoring and Management of Cloud Infrastructures. CloudCom (1) 2013: 290-297 - [c15]Jonathan Stuart Ward, Adam Barker:
Varanus: In Situ Monitoring for Large Scale Cloud Systems. CloudCom (2) 2013: 341-344 - [c14]Michael Luckeneder, Adam Barker:
Location, Location, Location: Data-Intensive Distributed Computing in the Cloud. CloudCom (1) 2013: 647-654 - [c13]Ward Jaradat, Alan Dearle, Adam Barker:
An Architecture for Decentralised Orchestration of Web Service Workflows. ICWS 2013: 603-604 - [c12]Ward Jaradat, Alan Dearle, Adam Barker:
A Dataflow Language for Decentralised Orchestration of Web Service Workflows. SERVICES 2013: 13-20 - [i12]Ward Jaradat, Alan Dearle, Adam Barker:
A Dataflow Language for Decentralised Orchestration of Web Service Workflows. CoRR abs/1305.1840 (2013) - [i11]Ward Jaradat, Alan Dearle, Adam Barker:
An Architecture for Decentralised Orchestration of Web Service Workflows. CoRR abs/1305.1842 (2013) - [i10]Jonathan Stuart Ward, Adam Barker:
Monitoring Large-Scale Cloud Systems with Layered Gossip Protocols. CoRR abs/1305.7403 (2013) - [i9]Gary A. McGilvary, Adam Barker, Ashley D. Lloyd, Malcolm P. Atkinson:
V-BOINC: The Virtualization of BOINC. CoRR abs/1306.0846 (2013) - [i8]Jonathan Stuart Ward, Adam Barker:
A Cloud Computing Survey: Developments and Future Trends in Infrastructure as a Service Computing. CoRR abs/1306.1394 (2013) - [i7]Vu Dung Nguyen, Blesson Varghese, Adam Barker:
The Royal Birth of 2013: Analysing and Visualising Public Sentiment in the UK Using Twitter. CoRR abs/1308.1847 (2013) - [i6]Ishan Patel, Blesson Varghese, Adam Barker:
RBioCloud: A Light-weight Framework for Bioconductor and R-based Jobs on the Cloud. CoRR abs/1308.2058 (2013) - [i5]Jonathan Stuart Ward, Adam Barker:
Undefined By Data: A Survey of Big Data Definitions. CoRR abs/1309.5821 (2013) - [i4]Michael Luckeneder, Adam Barker:
Location, Location, Location: Data-Intensive Distributed Computing in the Cloud. CoRR abs/1309.6452 (2013) - [i3]Gary A. McGilvary, Josep Rius, Iñigo Goiri, Francesc Solsona, Adam Barker, Malcolm P. Atkinson:
C2MS: Dynamic Monitoring and Management of Cloud Infrastructures. CoRR abs/1310.2148 (2013) - 2012
- [j5]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach. IEEE Trans. Serv. Comput. 5(3): 437-449 (2012) - [c11]Jonathan Stuart Ward, Adam Barker:
Semantic based data collection for large scale cloud systems. DICT@HPDC 2012: 13-22 - 2011
- [c10]Adam Barker, Rajkumar Buyya:
Decentralised Orchestration of Service-oriented Scientific Workflows. CLOSER 2011: 222-231 - 2010
- [c9]Suraj Pandey, Adam Barker, Kapil Kumar Gupta, Rajkumar Buyya:
Minimizing Execution Costs when Using Globally Distributed Cloud Services. AINA 2010: 222-229
2000 – 2009
- 2009
- [j4]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Clust. Comput. 12(2): 221-235 (2009) - [j3]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
The Circulate architecture: avoiding workflow bottlenecks caused by centralised orchestration. Clust. Comput. 12(2): 237 (2009) - [j2]Paolo Besana, Vivek Patkar, Adam Barker, David Robertson, David Glasspool:
Sharing Choreographies in OpenKnowledge: A Novel Approach to Interoperability. J. Softw. 4(8): 833-842 (2009) - [j1]Adam Barker, Christopher D. Walton, David Robertson:
Choreographing Web Services. IEEE Trans. Serv. Comput. 2(2): 152-166 (2009) - [c8]Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
An E-infrastructure to Support Collaborative Embryo Research. CCGRID 2009: 520-525 - [c7]Adam Barker, Paolo Besana, David Robertson, Jon B. Weissman:
The benefits of service choreography for data-intensive computing. CLADE@HPDC 2009: 1-10 - [c6]Paolo Besana, Adam Barker:
An Executable Calculus for Service Choreography. OTM Conferences (1) 2009: 373-380 - [p1]David Robertson, Adam Barker, Paolo Besana, Alan Bundy, Yun-Heh Chen-Burger, David Dupplaw, Fausto Giunchiglia, Frank van Harmelen, Mohd Fadzil Hassan, Spyros Kotoulas, David Lambert, Li Guo, Jarred McGinnis, Fiona McNeill, Nardine Osman, Adrián Perreau de Pinninck, Ronny Siebes, Carles Sierra, Chris Walton:
Models of Interaction as a Grounding for Peer to Peer Knowledge Sharing. Advances in Web Semantics I 2009: 81-129 - [i2]Adam Barker, Jano I. van Hemert, Richard A. Baldock, Malcolm P. Atkinson:
An e-Infrastructure for Collaborative Research in Human Embryo Development. CoRR abs/0901.2310 (2009) - [i1]Adam Barker:
Optimizing Service Orchestrations. CoRR abs/0901.4762 (2009) - 2008
- [c5]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Orchestrating Data-Centric Workflows. CCGRID 2008: 210-217 - [c4]Adam Barker, Jon B. Weissman, Jano I. van Hemert:
Eliminating the middleman: peer-to-peer dataflow. HPDC 2008: 55-64 - 2007
- [b1]Adam Barker:
Flexible service choreography. University of Edinburgh, UK, 2007 - [c3]Adam Barker, Jano I. van Hemert:
Scientific Workflow: A Survey and Research Directions. PPAM 2007: 746-753 - 2006
- [c2]Adam Barker, Robert G. Mann:
Flexible Service Composition. CIA 2006: 446-460 - 2005
- [c1]Adam Barker:
Agent-Based Service Coordination For the Grid. IAT 2005: 611-614
Coauthor Index
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