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Ian J. Taylor
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- affiliation: School of Computer Science and Informatics, Cardiff University, Cardiff, UK
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2020 – today
- 2023
- [j38]Iain Barclay, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing assurance and scrutability on shared data and machine learning models with verifiable credentials. Concurr. Comput. Pract. Exp. 35(18) (2023) - 2022
- [j37]Iain Barclay, Chris Simpkin, Graham A. Bent, Tom La Porta, Declan Millar, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Trustable service discovery for highly dynamic decentralized workflows. Future Gener. Comput. Syst. 134: 236-246 (2022) - [j36]Carlo Mastroianni, Franco Cicirelli, Min Jia, Sabita Maharjan, Ian J. Taylor:
Guest Editorial Special Issue on Edge Intelligence for Sustainable Smart Environments. IEEE Trans. Green Commun. Netw. 6(1): 234-237 (2022) - [c63]Ian J. Taylor:
The Curation, Interfacing and Analysis Lifecycle of Blockchain Application Data. GECON 2022: 3-14 - 2021
- [j35]Iain Barclay, Harrison Taylor, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma, Geeth de Mel:
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurr. Comput. Pract. Exp. 33(19) (2021) - [j34]Maria Freytsis, Iain Barclay, Swapna Krishnakumar Radha, Adam Czajka, Geoffrey H. Siwo, Ian J. Taylor, Sherri L. Bucher:
Development of a Mobile, Self-Sovereign Identity Approach for Facility Birth Registration in Kenya. Frontiers Blockchain 4: 631341 (2021) - [j33]Rafael Ferreira da Silva, Sandra Gesing, Rizos Sakellariou, Ian J. Taylor:
Special issue on workflows in support of large-scale science. Future Gener. Comput. Syst. 118: 73-74 (2021) - [c62]Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva:
Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. WORKS 2021: 74-80 - [i15]Iain Barclay, Harrison Taylor, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma, Geeth de Mel:
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. CoRR abs/2103.03610 (2021) - [i14]Iain Barclay, Michael Cooper, Alun D. Preece, Omer F. Rana, Ian J. Taylor:
Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions. CoRR abs/2104.01852 (2021) - [i13]Iain Barclay, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials. CoRR abs/2105.06370 (2021) - 2020
- [j32]Chris Simpkin, Ian J. Taylor, Daniel Harborne, Graham A. Bent, Alun D. Preece, Raghu K. Ganti:
Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture. Future Gener. Comput. Syst. 111: 117-131 (2020) - [j31]Zhiming Zhao, Ian J. Taylor, Radu Prodan:
Editorial for FGCS Special issue on "Time-critical Applications on Software-defined Infrastructures". Future Gener. Comput. Syst. 112: 1170-1171 (2020) - [j30]Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino, Ian J. Taylor, Leandros Tassiulas:
Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints. IEEE/ACM Trans. Netw. 28(3): 1047-1060 (2020) - [c61]Iain Barclay, Chris Simpkin, Graham A. Bent, Tom La Porta, Declan Millar, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Enabling Discoverable Trusted Services for Highly Dynamic Decentralized Workflows. WORKS@SC 2020: 41-48 - [i12]Iain Barclay, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor, Jarek Nabrzyski:
Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials. CoRR abs/2004.02796 (2020) - [i11]Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis:
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform. CoRR abs/2005.06087 (2020) - [i10]Iain Barclay, Maria Freytsis, Sherri L. Bucher, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor:
Towards a Modelling Framework for Self-Sovereign Identity Systems. CoRR abs/2009.04327 (2020)
2010 – 2019
- 2019
- [j29]Adam Brinckman, Ewa Deelman, Sandeep Gupta, Jarek Nabrzyski, Soowang Park, Rafael Ferreira da Silva, Ian J. Taylor, Karan Vahi:
Collaborative circuit designs using the CRAFT repository. Future Gener. Comput. Syst. 94: 841-853 (2019) - [j28]Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner:
Computing environments for reproducibility: Capturing the "Whole Tale". Future Gener. Comput. Syst. 94: 854-867 (2019) - [j27]Polona Stefanic, Matej Cigale, Andrew C. Jones, Louise Knight, Ian J. Taylor, Cristiana Istrate, George Suciu, Alexandre Ulisses, Vlado Stankovski, Salman Taherizadeh, Guadalupe Flores Salado, Spiros Koulouzis, Paul Martin, Zhiming Zhao:
SWITCH workbench: A novel approach for the development and deployment of time-critical microservice-based cloud-native applications. Future Gener. Comput. Syst. 99: 197-212 (2019) - [j26]Chris Simpkin, Ian J. Taylor, Graham A. Bent, Geeth de Mel, Swati Rallapalli, Liang Ma, Mudhakar Srivatsa:
Constructing distributed time-critical applications using cognitive enabled services. Future Gener. Comput. Syst. 100: 70-85 (2019) - [j25]Louise Knight, Polona Stefanic, Matej Cigale, Andrew C. Jones, Ian J. Taylor:
Towards extending the SWITCH platform for time-critical, cloud-based CUDA applications: Job scheduling parameters influencing performance. Future Gener. Comput. Syst. 100: 542-556 (2019) - [j24]Polona Stefanic, Matej Cigale, Andrew C. Jones, Louise Knight, Ian J. Taylor:
Support for full life cycle cloud-native application management: Dynamic TOSCA and SWITCH IDE. Future Gener. Comput. Syst. 101: 975-982 (2019) - [c60]Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor:
Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses. eScience 2019: 514-521 - [c59]Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis:
Implementing Computational Reproducibility in the Whole Tale Environment. P-RECS@HPDC 2019: 17-22 - [c58]Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor:
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data. ICTC 2019: 717-722 - [c57]Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino, Ian J. Taylor, Leandros Tassiulas:
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks. INFOCOM 2019: 10-18 - [c56]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Towards Traceability in Data Ecosystems using a Bill of Materials Model. IWSG 2019 - [c55]Steve Bogol, Paul R. Brenner, Adam Brinckman, Ewa Deelman, Rafael Ferreira da Silva, Sandeep Gupta, Jarek Nabrzyski, Soowang Park, Damian Perez, Mats Rynge, Ian J. Taylor, Karan Vahi, Matt Vander Werf, Sarah Rucker, Sebastian Wyngaard:
A Secure Gateway for Enabling ASIC Design Collaborations. IWSG 2019 - [c54]Chris Simpkin, Ian J. Taylor, Alun D. Preece, Graham A. Bent, Richard Tomsett, Raghu K. Ganti, Olwen Worthington:
Coalition C3 Information Exchange Using Binary Symbolic Vectors. MILCOM 2019: 784-789 - [c53]Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis:
Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform. PARCO 2019: 766-778 - [c52]Richard Tomsett, Graham A. Bent, Christopher Simpkin, Ian J. Taylor, Daniel Harborne, Alun D. Preece, Raghu K. Ganti:
Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture. SMARTCOMP 2019: 464-467 - [p4]Adina Riposan-Taylor, Ian J. Taylor:
Personal Connected Devices for Healthcare. The Internet of Things for Smart Urban Ecosystems 2019: 333-361 - [i9]Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino, Ian J. Taylor, Leandros Tassiulas:
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks. CoRR abs/1901.08946 (2019) - [i8]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment. CoRR abs/1904.03045 (2019) - [i7]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Towards Traceability in Data Ecosystems using a Bill of Materials Model. CoRR abs/1904.04253 (2019) - [i6]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Quantifying Transparency of Machine Learning Systems through Analysis of Contributions. CoRR abs/1907.03483 (2019) - [i5]Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor:
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data. CoRR abs/1909.09925 (2019) - 2018
- [j23]Salman Taherizadeh, Andrew Jones, Ian J. Taylor, Zhiming Zhao, Vlado Stankovski:
Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review. J. Syst. Softw. 136: 19-38 (2018) - [c51]Yeon-Sup Lim, Mudhakar Srivatsa, Supriyo Chakraborty, Ian J. Taylor:
Learning Light-Weight Edge-Deployable Privacy Models. IEEE BigData 2018: 1290-1295 - [c50]Polona Stefanic, Matej Cigale, Andrew Jones, Louise Knight, David Rogers, Francisco Quevedo Fernandez, Ian J. Taylor:
Application-Infrastructure Co-Programming: Managing the Entire Complex Application Lifecycle. IWSG 2018 - [c49]Nirmit Desai, Raghu K. Ganti, Heesung Kwon, Ian J. Taylor, Mudhakar Srivatsa:
Unsupervised Estimation of Domain Applicability of Models. MILCOM 2018: 34-39 - [c48]Graham A. Bent, Geeth de Mel, Raghu K. Ganti, Tom La Porta, Gavin Pearson, Tien Pham, Sebastian Stein, Leandros Tassiulas, Ian J. Taylor:
Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions. MILCOM 2018: 1080-1085 - [i4]Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner:
Computing Environments for Reproducibility: Capturing the "Whole Tale". CoRR abs/1805.00400 (2018) - [i3]Iain Barclay, Alun D. Preece, Ian J. Taylor:
Defining the Collective Intelligence Supply Chain. CoRR abs/1809.09444 (2018) - 2017
- [j22]Malcolm P. Atkinson, Sandra Gesing, Johan Montagnat, Ian J. Taylor:
Scientific workflows: Past, present and future. Future Gener. Comput. Syst. 75: 216-227 (2017) - [j21]Joseph P. Macker, Ian J. Taylor:
Orchestration and analysis of decentralized workflows within heterogeneous networking infrastructures. Future Gener. Comput. Syst. 75: 388-401 (2017) - [c47]Adam Brinckman, Donal Luc, Jarek Nabrzyski, Gary L. Neidig, Joel D. Neidig, Tyler A. Puckett, Swapna Krishnakumar Radha, Ian J. Taylor:
A Comparative Evaluation of Blockchain Systems for Application Sharing Using Containers. eScience 2017: 490-497 - [c46]Zhiming Zhao, Paul Martin, Andrew Jones, Ian J. Taylor, Vlado Stankovski, Guadalupe Flores Salado, George Suciu, Alexandre Ulisses, Cees de Laat:
Developing, Provisioning and Controlling Time Critical Applications in Cloud. ESOCC Workshops 2017: 169-174 - [c45]Ian J. Taylor, Adam Brinckman, Ewa Deelman, Rafael Ferreira da Silva, Sandeep Gupta, Jarek Nabrzyski, Soowang Park, Karan Vahi:
Accelerating Circuit Realization via a Collaborative Gateway of Innovations. IWSG 2017 - [c44]Chris Simpkin, Ian J. Taylor, Graham A. Bent, Geeth de Mel, Swati Rallapalli:
Decentralized microservice workflows for coalition environments. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7 - [c43]Qiao Xiang, Shenshen Chen, Kai Gao, Harvey B. Newman, Ian J. Taylor, Jingxuan Zhang, Yang Richard Yang:
Unicorn: Unified resource orchestration for multi-domain, geo-distributed data analytics. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [e8]Johan Montagnat, Ian J. Taylor, Sandra Gesing, Rizos Sakellariou:
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, WORKS@SC 2017, Denver, CO, USA, November 12 - 17, 2017. ACM 2017, ISBN 978-1-4503-5129-4 [contents] - [i2]Ian J. Taylor, Jarek Nabrzyski:
Towards a dashboard environment for repeating and reusing research. PeerJ Prepr. 5: e2845 (2017) - 2016
- [c42]Salman Taherizadeh, Ian J. Taylor, Andrew Jones, Zhiming Zhao, Vlado Stankovski:
A Network Edge Monitoring Approach for Real-Time Data Streaming Applications. GECON 2016: 293-303 - 2015
- [c41]Zhiming Zhao, Arie Taal, Andrew Jones, Ian J. Taylor, Vlado Stankovski, Ignacio Garcia Vega, Francisco Jesus Hidalgo, George Suciu, Alexandre Ulisses, Pedro Ferreira, Cees de Laat:
A Software Workbench for Interactive, Time Critical and Highly Self-Adaptive Cloud Applications (SWITCH). CCGRID 2015: 1181-1184 - [c40]Zhiming Zhao, Paul Martin, Junchao Wang, Arie Taal, Andrew Jones, Ian J. Taylor, Vlado Stankovski, Ignacio Garcia Vega, George Suciu, Alexandre Ulisses, Cees de Laat:
Developing and Operating Time Critical Applications in Clouds: The State of the Art and the SWITCH Approach. Cloud Forward 2015: 17-28 - [c39]Joseph P. Macker, Ian J. Taylor:
Orchestrating workflows over heterogeneous networking infrastructures: NEWT: a network edge workflow tool. WORKS@SC 2015: 2:1-2:10 - [c38]Kieran Evans, Andrew Jones, Alun D. Preece, Francisco Quevedo, David Rogers, Irena Spasic, Ian J. Taylor, Vlado Stankovski, Salman Taherizadeh, Jernej Trnkoczy, George Suciu, Victor Suciu, Paul Martin, Junchao Wang, Zhiming Zhao:
Dynamically reconfigurable workflows for time-critical applications. WORKS@SC 2015: 7:1-7:10 - [c37]Nicholas Haydel, Sandra Gesing, Ian J. Taylor, Gregory R. Madey, Abdul Dakkak, Simon Garcia De Gonzalo, Wen-mei W. Hwu:
Enhancing the Usability and Utilization of Accelerated Architectures via Docker. UCC 2015: 361-367 - [c36]Vlado Stankovski, Salman Taherizadeh, Ian J. Taylor, Andrew Jones, Carlo Mastroianni, Bruce Becker, Heru Suhartanto:
Towards an Environment Supporting Resilience, High-Availability, Reproducibility and Reliability for Cloud Applications. UCC 2015: 383-386 - [e7]Johan Montagnat, Ian J. Taylor:
Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, WORKS 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-3989-6 [contents] - [i1]Sandra Gesing, Thomas Richard Connor, Ian J. Taylor:
Genomics and Biological Big Data: Facing Current and Future Challenges around Data and Software Sharing and Reproducibility. CoRR abs/1511.02689 (2015) - 2014
- [c35]Joseph P. Macker, Ian J. Taylor:
Prediction and Planning of Distributed Task Management Using Network Centrality. MILCOM 2014: 859-864 - [c34]Sandra Gesing, Malcolm P. Atkinson, Rosa Filgueira, Ian J. Taylor, Andrew Jones, Vlado Stankovski, Chee Sun Liew, Alessandro Spinuso, Gábor Terstyánszky, Péter Kacsuk:
Workflows in a dashboard: a new generation of usability. WORKS@SC 2014: 82-93 - [e6]Johan Montagnat, Ian J. Taylor:
Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, WORKS '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7067-4 [contents] - 2013
- [j20]Johan Montagnat, Ian J. Taylor:
Guest Editor's Introduction: Special Issue on Workflow. J. Grid Comput. 11(3): 337-339 (2013) - [j19]Karan Vahi, Ian Harvey, Taghrid Samak, Daniel K. Gunter, Kieran Evans, David Rogers, Ian J. Taylor, Monte Goode, Fabio Silva, Eddie Al-Shakarchi, Gaurang Mehta, Ewa Deelman, Andrew Jones:
A Case Study into Using Common Real-Time Workflow Monitoring Infrastructure for Scientific Workflows. J. Grid Comput. 11(3): 381-406 (2013) - [j18]Kassian Plankensteiner, Radu Prodan, Matthias Janetschek, Thomas Fahringer, Johan Montagnat, David Rogers, Ian Harvey, Ian J. Taylor, Ákos Balaskó, Péter Kacsuk:
Fine-Grain Interoperability of Scientific Workflows in Distributed Computing Infrastructures. J. Grid Comput. 11(3): 429-455 (2013) - [j17]David Rogers, Ian Harvey, Tram Truong Huu, Kieran Evans, Tristan Glatard, Ibrahim Kallel, Ian J. Taylor, Johan Montagnat, Andrew Jones, Andrew Harrison:
Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions. J. Grid Comput. 11(3): 457-480 (2013) - [e5]Johan Montagnat, Ian J. Taylor:
Proceedings of WORKS 2013: 8th Workshop On Workflows in Support of Large-Scale Science, Held in conjunction with SC13, Denver, CO, USA, November 17, 2013. ACM 2013, ISBN 978-1-4503-2502-8 [contents] - 2012
- [c33]Karan Vahi, Ian Harvey, Taghrid Samak, Daniel K. Gunter, Kieran Evans, David Rogers, Ian J. Taylor, Monte Goode, Fabio Silva, Eddie Al-Shakarchi, Gaurang Mehta, Andrew Jones, Ewa Deelman:
A General Approach to Real-Time Workflow Monitoring. SC Companion 2012: 108-118 - 2011
- [j16]Justin Dean, Andrew Harrison, Robert N. Lass, Joseph P. Macker, David W. Millar, Ian J. Taylor:
Client/server messaging protocols in serverless environments. J. Netw. Comput. Appl. 34(4): 1366-1379 (2011) - [j15]AbdelHamid Elwaer, Ian J. Taylor, Omer F. Rana:
Optimizing Data Distribution in Volunteer Computing Systems using Resources of Participants. Scalable Comput. Pract. Exp. 12(2) (2011) - [c32]AbdelHamid Elwaer, Ian J. Taylor, Omer F. Rana:
Preference driven server selection in peer-2-peer data sharing systems. DICT@HPDC 2011: 9-16 - [c31]AbdelHamid Elwaer, Andrew Harrison, Ian Kelley, Ian J. Taylor:
Attic: A Case Study for Distributing Data in BOINC Projects. IPDPS Workshops 2011: 1863-1870 - [c30]Joseph P. Macker, Ian J. Taylor:
INDI: Adapting the multicast DNS service discovery infrastructure in mobile wireless networks. MILCOM 2011: 1616-1621 - [c29]Andrew Harrison, Ian Harvey, Andrew Jones, David Rogers, Ian J. Taylor:
Object reuse and exchange for publishing and sharing workflows. WORKS@SC 2011: 67-76 - [e4]Ian J. Taylor, Johan Montagnat:
WORKS'11, Proceedings of the 6th Workshop on Workflows in Support of Large-Scale Science, co-located with , SC11, Seattle, WA, USA, November 14, 2011. ACM 2011, ISBN 978-1-4503-1100-7 [contents] - 2010
- [j14]Ahmed Alqaoud, Ian J. Taylor, Andrew Jones:
Scientific workflow interoperability framework. Int. J. Bus. Process. Integr. Manag. 5(1): 93-105 (2010) - [c28]Robert N. Lass, Joseph P. Macker, David W. Millar, Ian J. Taylor:
GUMP: adapting client/server messaging protocols into peer-to-peer serverless environments. BADS@ICAC 2010: 39-46
2000 – 2009
- 2009
- [b2]Ian J. Taylor, Andrew Harrison:
From P2P and Grids to Services on the Web - Evolving Distributed Communities. Computer Communications and Networks, Springer 2009, ISBN 978-1-84800-122-0, pp. 1-435 - [j13]Carlo Mastroianni, Pasquale Cozza, Domenico Talia, Ian Kelley, Ian J. Taylor:
A scalable super-peer approach for public scientific computation. Future Gener. Comput. Syst. 25(3): 213-223 (2009) - [j12]Ewa Deelman, Dennis Gannon, Matthew S. Shields, Ian J. Taylor:
Workflows and e-Science: An overview of workflow system features and capabilities. Future Gener. Comput. Syst. 25(5): 528-540 (2009) - [c27]Adina Riposan, Ian J. Taylor, Omer F. Rana, David R. Owens, Edward C. Conley:
The TRIACS analytical workflows platform for distributed clinical decision support. CBMS 2009: 1-8 - [c26]Ahmed Alqaoud, Ian J. Taylor, Andrew Jones:
Publish/subscribe as a model for scientific workflow interoperability. SC-WORKS 2009 - [c25]Andrew Harrison, Ian J. Taylor:
Web enabling desktop workflow applications. SC-WORKS 2009 - [p3]Bertram Ludäscher, Ilkay Altintas, Shawn Bowers, Julian Cummings, Terence Critchlow, Ewa Deelman, David De Roure, Juliana Freire, Carole A. Goble, Matthew B. Jones, Scott Klasky, Timothy M. McPhillips, Norbert Podhorszki, Cláudio T. Silva, Ian J. Taylor, Mladen A. Vouk:
Scientific Process Automation and Workflow Management. Scientific Data Management 2009 - [e3]Ewa Deelman, Ian J. Taylor:
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, WORKS 2009, November 16, 2009, Portland, Oregon, USA. ACM 2009, ISBN 978-1-60558-717-2 [contents] - 2008
- [j11]Andrew Harrison, Ian J. Taylor, Ian Wang, Matthew S. Shields:
WS-RF Workflow in Triana. Int. J. High Perform. Comput. Appl. 22(3): 268-283 (2008) - [j10]Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Ad Emmen, Gábor Terstyánszky, Tamás Kiss, Ian Kelley, Ian J. Taylor, Oleg Lodygensky, Miguel Cárdenas-Montes, Gilles Fedak, Filipe Araújo:
EdgES: the Common Boundary between Service and Desktop Grids. Parallel Process. Lett. 18(3): 433-445 (2008) - [c24]Gilles Fedak, Haiwu He, Oleg Lodygensky, Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Ian Kelley, Ian J. Taylor, Gábor Terstyánszky, Tamás Kiss, Miguel Cárdenas-Montes, Ad Emmen, Filipe Araújo:
EDGeS: A Bridge between Desktop Grids and Service Grids. ChinaGrid 2008: 3-9 - [c23]Zoltán Balaton, Zoltán Farkas, Gabor Gombás, Péter Kacsuk, Róbert Lovas, Csaba Attila Marosi, Gábor Terstyánszky, Tamás Kiss, Oleg Lodygensky, Gilles Fedak, Ad Emmen, Ian Kelley, Ian J. Taylor, Miguel Cárdenas-Montes, Filipe Araújo:
EDGeS: The Common Boundary Between Service And Desktop Grids. CoreGRID Integration Workshop 2008: 37-48 - [c22]Stavros Isaiadis, Vladimir Getov, Ian Kelley, Ian J. Taylor:
Dynamic Service-Based Integration Of Mobile Clusters In Grids. CoreGRID Integration Workshop 2008: 159-171 - 2007
- [j9]Eddie Al-Shakarchi, Pasquale Cozza, Andrew Harrison, Carlo Mastroianni, Matthew S. Shields, Domenico Talia, Ian J. Taylor:
Distributing workflows over a ubiquitous P2P network. Sci. Program. 15(4): 269-281 (2007) - [c21]Fernando Costa, Luís Moura Silva, Ian Kelley, Ian J. Taylor:
Peer-To-Peer Techniques for Data Distribution in Desktop Grid Computing Platforms. CoreGRID Workshop - Making Grids Work 2007: 377-391 - [c20]Adina Riposan, Ian J. Taylor, David R. Owens, Omer F. Rana, Edward C. Conley:
Alchemist Multimodal Workflows for Diabetic Retinopathy Research, Disease Prevention and Investigational Drug Discovery. HealthGrid 2007: 279-288 - [c19]Ian J. Taylor:
Multiple co-existing grouping overlays. UPGRADE-CN 2007: 1-2 - [c18]Ian J. Taylor, Andrew Harrison, Carlo Mastroianni, Matthew S. Shields:
Cache for workflows. WORKS@HPDC 2007: 13-20 - [p2]Dennis Gannon, Ewa Deelman, Matthew S. Shields, Ian J. Taylor:
Introduction. Workflows for e-Science, Scientific Workflows for Grids 2007: 1-8 - [p1]Ian J. Taylor, Matthew S. Shields, Ian Wang, Andrew Harrison:
The Triana Workflow Environment: Architecture and Applications. Workflows for e-Science, Scientific Workflows for Grids 2007: 320-339 - [e2]Ian J. Taylor, Ewa Deelman, Dennis B. Gannon, Matthew S. Shields:
Workflows for e-Science, Scientific Workflows for Grids. Springer 2007, ISBN 978-1-84628-519-6 [contents] - [e1]Ewa Deelman, Ian J. Taylor:
Proceedings of the 2nd workshop on Workflows in support of large-scale science, WORKS@HPDC 2007, Monterey, California, USA, June 25, 2007. ACM 2007, ISBN 978-1-59593-715-5 [contents] - 2006
- [j8]David Churches, Gabor Gombás, Andrew Harrison, Jason Maassen, Craig Robinson, Matthew S. Shields, Ian J. Taylor, Ian Wang:
Programming scientific and distributed workflow with Triana services. Concurr. Comput. Pract. Exp. 18(10): 1021-1037 (2006) - [j7]Andrew Harrison, Ian J. Taylor:
The Web Services Resource Framework in a Peer-to-Peer Context. J. Grid Comput. 4(4): 425-445 (2006) - [c17]Ian J. Taylor:
Triana Generations. e-Science 2006: 143 - [c16]