Introducing PRECIP: An API for managing repeatable experiments in the cloud

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18 Scopus citations

Abstract

Cloud computing with its on-demand access to resources has emerged as a tool used by researchers from a wide range of domains to run computer-based experiments. In this paper we introduce a flexible experiment management API, written in Python that simplifies and formalizes the execution of scientific experiments on cloud infrastructures. We describe the features and functionality of PRECIP (Pegasus Repeatable Experiments for the Cloud in Python), and how PRECIP can be used to set up experiments on academic clouds such as OpenStack Eucalyptus, Nimbus, and commercial clouds such as Amazon EC2.

Original languageEnglish
Title of host publicationProceedings - IEEE 5th International Conference on Cloud Computing Technology and Science, CloudCom 2013
PublisherIEEE Computer Society
Pages19-26
Number of pages8
ISBN (Electronic)9780768550954
DOIs
StatePublished - 2013
Externally publishedYes
Event5th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2013 - Bristol, United Kingdom
Duration: Dec 2 2013Dec 5 2013

Publication series

NameProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
Volume2
ISSN (Print)2330-2194
ISSN (Electronic)2330-2186

Conference

Conference5th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2013
Country/TerritoryUnited Kingdom
CityBristol
Period12/2/1312/5/13

Keywords

  • Amazon EC2
  • Cloud
  • Cloud Provisioning
  • Eucalyptus
  • Experiment Management
  • Nimbus
  • OpenStack

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