Introducing PRECIP: An API for Managing Repeatable Experiments in the Cloud

Author

Azarnoosh, Sepideh ; Rynge, Mats ; Juve, Gideon ; Deelman, Ewa ; Niec, Michal ; Malawski, M. ; Da Silva, Rafael Ferreira

Author_Institution

Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA

Volume

2

fYear

2013

fDate

2-5 Dec. 2013

Firstpage

19

Lastpage

26

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.

Keywords

application program interfaces; cloud computing; Amazon EC2; Nimbus; OpenStack Eucalyptus; PRECIP; Pegasus Repeatable Experiments for the Cloud in Python; academic clouds; cloud computing; cloud infrastructures; commercial clouds; computer-based experiments; flexible experiment management API; on-demand access; Biology; Cloud computing; Clouds; Computer science; Fault tolerance; Security; Virtual machining; Amazon EC2; Cloud; Cloud Provisioning; Eucalyptus; Experiment Management; Nimbus; OpenStack;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on

Conference_Location

Bristol

Type

conf

DOI

10.1109/CloudCom.2013.98

Filename

6735390