Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Data-centric workflows"'
Autor:
Rituraj Singh
Publikováno v:
Formal Languages and Automata Theory [cs.FL]. Université de Rennes 1, 2021. English. ⟨NNT : ⟩
Formal Languages and Automata Theory [cs.FL]. Université de Rennes 1, 2021. English
Formal Languages and Automata Theory [cs.FL]. Université Rennes 1, 2021. English. ⟨NNT : 2021REN1S042⟩
HAL
Formal Languages and Automata Theory [cs.FL]. Université de Rennes 1, 2021. English
Formal Languages and Automata Theory [cs.FL]. Université Rennes 1, 2021. English. ⟨NNT : 2021REN1S042⟩
HAL
Crowdsourcing uses human intelligence to solve tasks which are still difficult for machines. Tasks at existing crowdsourcing platform are batches of relatively simple micro-tasks. However, real-world problems are often more difficult than micro-tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d0bd916aa5b445894f3434d4ffff51f5
https://hal.inria.fr/tel-03274867
https://hal.inria.fr/tel-03274867
Publikováno v:
Petri Nets 2020-41st International Conference on Application and Theory of Petri Nets and Concurrency
Petri Nets 2020-41st International Conference on Application and Theory of Petri Nets and Concurrency, Jun 2020, Paris, France. pp.1-39
HAL
Petri Nets 2020
Petri Nets 2020, Jun 2020, Paris, France
Application and Theory of Petri Nets and Concurrency ISBN: 9783030518301
Petri Nets
Application and Theory of Petri Nets and Concurrency
Petri Nets 2020-41st International Conference on Application and Theory of Petri Nets and Concurrency, Jun 2020, Paris, France. pp.1-39
HAL
Petri Nets 2020
Petri Nets 2020, Jun 2020, Paris, France
Application and Theory of Petri Nets and Concurrency ISBN: 9783030518301
Petri Nets
Application and Theory of Petri Nets and Concurrency
Crowdsourcing is a major paradigm to accomplish works that require human skills, by paying a small sum of money and drawing workers all across the globe. However, crowdsourcing platforms are mainly ways to solve large amounts of relatively simple and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba2f300a272e4afc01d37b6f90dcf178
https://inria.hal.science/hal-02508838/document
https://inria.hal.science/hal-02508838/document
Publikováno v:
PODS 2018-37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles Of Database Systems
PODS 2018-37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles Of Database Systems, Jun 2018, Houston, Texas, United States
PODS
PODS 2018-37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles Of Database Systems, Jun 2018, Houston, Texas, United States
PODS
International audience; We pursue an investigation of data-driven collaborative work-flows. In the model, peers can access and update local data, causing side-e↵ects on other peers' data. In this paper, we study means of explaining to a peer her lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa58691fbd43f6d90bba3964a0fd7c6f
https://inria.hal.science/hal-01744978/file/pods050withoutcopyright.pdf
https://inria.hal.science/hal-01744978/file/pods050withoutcopyright.pdf
Autor:
Jergler, Martin
Flexibility, data distribution, and the scale of business processes impose challenges for Workflow Management Systems (WFMS). Thus, we develop a distributed formulation and corresponding geo-scale WFMS for data-centric workflows based on the publish/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::dd58737038d2cdaac836d6f17ccb19f8
https://mediatum.ub.tum.de/doc/1361287/document.pdf
https://mediatum.ub.tum.de/doc/1361287/document.pdf
Orchestrating workflows needed for modern scientific data analysis presents a significant research challenge: they are typically executed in a centralized manner such that all data pass through a single compute server known as the engine, which cause
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______901::71e49b91e704c1058096a5afbdf07787
https://hdl.handle.net/10023/9534
https://hdl.handle.net/10023/9534
Publikováno v:
Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2016)
35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2016)
35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2016), Jun 2016, San Francisco, United States. pp.179-194, ⟨10.1145/2902251.2902275⟩
35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2016)
35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2016), Jun 2016, San Francisco, United States. pp.179-194, ⟨10.1145/2902251.2902275⟩
Data-driven workflows, of which IBM's Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich body of research in academia, focused primarily on static analysis. T
Autor:
Jaradat, Ward
Modern science relies on workflow technology to capture, process, and analyse data obtained from scientific instruments. Scientific workflows are precise descriptions of experiments in which multiple computational tasks are coordinated based on the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______901::99014a217f40d9772b9222b3ea750937
https://hdl.handle.net/10023/8036
https://hdl.handle.net/10023/8036
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Kniha
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