Data-driven workflows in multi-cloud marketplaces

Javier Diaz Montes, Mengsong Zou, Rahul Singh, Shu Tao, Manish Parashar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations


Cloud computing is emerging as a viable platform for scientific exploration. The ideas of on-demand access to resources, 'unlimited' resources as well as interesting pricing models are making scientist to move their workflows into cloud computing. However, the amount of services and different pricing models offered by the providers often overwhelm users when deciding which option is best for them. Moreover, interoperability across providers remains an open topic that forces users to develop specific solutions for each provider. In this paper, we present a service framework that enables the autonomic execution of dynamic workflows in multi-cloud environments. It also allows users to customize scheduling policies to use those resources that best fit their needs. To demonstrate the benefits of this framework, we study the execution of a real scientific workflow, with data dependencies across stages, in a multi-cloud federation using different policies and objective functions.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE 7th International Conference on Cloud Computing, CLOUD 2014
EditorsCarl Kesselman
PublisherIEEE Computer Society
Number of pages8
ISBN (Electronic)9781479950638
StatePublished - Dec 3 2014
Event7th IEEE International Conference on Cloud Computing, CLOUD 2014 - Anchorage, United States
Duration: Jun 27 2014Jul 2 2014

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190


Other7th IEEE International Conference on Cloud Computing, CLOUD 2014
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Software


  • Autonomics
  • Cloud computing
  • Data-driven workflow
  • Software-defined infrastructure


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