Title :
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
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;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
DOI :
10.1109/CloudCom.2013.98