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Building Cloud-Based Scientific Workflows Made Easy: A Remote Sensing Application

  • Sofiane Bendoukha
  • Daniel Moldt
  • Hayat Bendoukha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9187)

Abstract

In this paper, we present an approach for the specification and the execution of complex scientific workflows in cloud-like environments. The approach strives to support scientists during the modeling, deployment and the monitoring of their workflows. This work takes advantages from Petri nets and more pointedly the so called reference nets formalism, which provide robust modeling/implementation techniques. Meanwhile, we present the implementation of a new tool named RenewGrass. It allows the modeling as well as the execution of image processing workflows from the remote sensing domain. In terms of usability, we provide an easy way to support unskilled researchers during the specification of their workflows. Then, we use the Enhanced Vegetation Index (EVI) workflow as a showcase of the implementation. At last, we introduce our methodology to move the actual implementation to the Cloud.

Keywords

RenewGrass Cloud computing Scientific workflows Petri nets 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Sofiane Bendoukha
    • 1
  • Daniel Moldt
    • 1
  • Hayat Bendoukha
    • 2
  1. 1.Theoretical Foundations of Computer Science (TGI), Department of InformaticsUniversity of HamburgHamburgGermany
  2. 2.Department of Computer Science, Faculty of Mathematics and Computer ScienceUniversity of Science and Technology USTOMBOranAlgeria

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