Decentralized orchestration of data-centric workflows in Cloud environments

Autor: Javadi, Bahman, Tomko, Martin, Sinnott, Richard O.

Publikováno v: In Future Generation Computer Systems September 2013 29(7):1826-1837

Data Centric Workflows for Crowdsourcing

Autor: Pierre Bourhis, Loïc Hélouët, Rituraj Singh, Zoltán Miklós

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

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

On Knowledge Transfer from Cost-Based Optimization of Data-Centric Workflows to Business Process Redesign

Autor: Kostas Vergidis, Konstantinos Varvoutas, George Tsakalidis, Anastasios Gounaris, Georgia Kougka

Publikováno v: Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIII ISBN: 9783662621981

This work deals with redesigning business process models, e.g., in BPMN, based on cost-based optimization techniques that were initially proposed for data analytics workflows. More specifically, it discusses execution cost and cycle time improvements

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d26ff3391fa96a8b47785fc8bca0150
https://doi.org/10.1007/978-3-662-62199-8_3

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction

Autor: Mohammad Sadoghi, Martin Jergler, Hans-Arno Jacobsen, Richard Hull, Roman Vaculin

Publikováno v: ICDE

In this work, we develop an approach for the safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction. In essence, we design a unique representation of data-centric workflows, specifically designed to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1d0879fa262831a4f1d517fecffdd84
https://doi.org/10.1109/icde.2016.7498393