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Workflows for e-Science: Scientific Workflows for GridsMarch 2014
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Abstract
This is a timely book presenting an overview of the current state-of-the-art within established projects, presenting many different aspects of workflow from users to tool builders. It provides an overview of active research, from a number of different perspectives. It includes theoretical aspects of workflow and deals with workflow for e-Science as opposed to e-Commerce. The topics covered will be of interest to a wide range of practitioners.
Cited By
- Dongarra J, Tourancheau B, Jin H, Raghavan K, Papadimitriou G, Wang C, Mandal A, Kiran M, Deelman E and Balaprakash P (2023). Graph neural networks for detecting anomalies in scientific workflows, International Journal of High Performance Computing Applications, 37:3-4, (394-411), Online publication date: 1-Jul-2023.
Hilman M, Rodriguez M and Buyya R (2020). Multiple Workflows Scheduling in Multi-tenant Distributed Systems, ACM Computing Surveys, 53:1, (1-39), Online publication date: 31-Jan-2021.- Ghoshal D and Ramakrishnan L (2021). Programming Abstractions for Managing Workflows on Tiered Storage Systems, ACM Transactions on Storage, 17:4, (1-21), Online publication date: 30-Nov-2021.
- Sukhoroslov O (2021). Toward efficient execution of data-intensive workflows, The Journal of Supercomputing, 77:8, (7989-8012), Online publication date: 1-Aug-2021.
- Li K, Greenberg J and Dunic J (2019). Data objects and documenting scientific processes, Journal of the Association for Information Science and Technology, 71:2, (172-182), Online publication date: 1-Jan-2020.
- Turilli M, Santcroos M and Jha S (2018). A Comprehensive Perspective on Pilot-Job Systems, ACM Computing Surveys, 51:2, (1-32), Online publication date: 31-Mar-2019.
- Arabnejad V, Bubendorfer K and Ng B (2018). Budget and Deadline Aware e-Science Workflow Scheduling in Clouds, IEEE Transactions on Parallel and Distributed Systems, 30:1, (29-44), Online publication date: 1-Jan-2019.
- Ivie P and Thain D (2018). Reproducibility in Scientific Computing, ACM Computing Surveys, 51:3, (1-36), Online publication date: 31-May-2019.
- Ilyushkin A, Ali-Eldin A, Herbst N, Bauer A, Papadopoulos A, Epema D and Iosup A (2018). An Experimental Performance Evaluation of Autoscalers for Complex Workflows, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 3:2, (1-32), Online publication date: 30-Jun-2018.
- Bucur C Linkflows: Enabling a Web of Linked Semantic Publishing Workflows The Semantic Web: ESWC 2018 Satellite Events, (262-271)
- Ghoshal D and Ramakrishnan L MaDaTS Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, (41-52)
- Gonzalez N, Carvalho T and Miers C (2017). Cloud resource management, Journal of Cloud Computing: Advances, Systems and Applications, 6:1, (1-20), Online publication date: 1-Dec-2017.
- Yskout K, Van Landuyt D and Joosen W Towards a platform for empirical software design studies Proceedings of the 1st International Workshop on Establishing the Community-Wide Infrastructure for Architecture-Based Software Engineering, (3-7)
- Lorig F, Becker C and Timm I Formal specification of hypotheses for assisting computer simulation studies Proceedings of the Symposium on Theory of Modeling & Simulation, (1-12)
- Liew C, Atkinson M, Galea M, Ang T, Martin P and Hemert J (2016). Scientific Workflows, ACM Computing Surveys, 49:4, (1-39), Online publication date: 31-Dec-2018.
- Kong X, Li M, Yu Y, Zhao Z and Huang G Physical internet-enabled E-commerce logistics park platform 2017 13th IEEE Conference on Automation Science and Engineering (CASE), (406-411)
- Zhu Y, Pan P, Fang S, Xu L, Song J, Zhang J and Feng M (2016). The development and application of e-Geoscience in China, Information Systems Frontiers, 18:6, (1217-1231), Online publication date: 1-Dec-2016.
- Arabnejad V, Bubendorfer K and Ng B Deadline distribution strategies for scientific workflow scheduling in commercial clouds Proceedings of the 9th International Conference on Utility and Cloud Computing, (70-78)
- Filgueira R, da Silva R, Krause A, Deelman E and Atkinson M Asterism Proceedings of the 7th International Workshop on Data-Intensive Computing in the Cloud, (1-8)
- Agarwal D, Faybishenko B, Freedman V, Krishnan H, Kushner G, Lansing C, Porter E, Romosan A, Shoshani A, Wainwright H, Weidmer A and Wu K (2016). A science data gateway for environmental management, Concurrency and Computation: Practice & Experience, 28:7, (1994-2004), Online publication date: 1-May-2016.
- Jain S, Moritz D, Halperin D, Howe B and Lazowska E SQLShare Proceedings of the 2016 International Conference on Management of Data, (281-293)
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