Journal of Grid Computing

, Volume 10, Issue 1, pp 23–46

Language and Runtime Support for Automatic Configuration and Deployment of Scientific Computing Software over Cloud Fabrics

Authors

    • Computer Science DepartmentUniversity of California
  • Brian Drawert
    • Computer Science DepartmentUniversity of California
  • Navraj Chohan
    • Computer Science DepartmentUniversity of California
  • Chandra Krintz
    • Computer Science DepartmentUniversity of California
  • Linda Petzold
    • Computer Science DepartmentUniversity of California
  • Khawaja Shams
    • Jet Propulsion LaboratoryCalifornia Institute of Technology
Article

DOI: 10.1007/s10723-012-9213-8

Cite this article as:
Bunch, C., Drawert, B., Chohan, N. et al. J Grid Computing (2012) 10: 23. doi:10.1007/s10723-012-9213-8

Abstract

In this paper, we present the design and implementation of Neptune, a simple, domain-specific language based on the Ruby programming language. Neptune automates the configuration and deployment of scientific software frameworks over disparate cloud computing systems. Neptune integrates support for MPI, MapReduce, UPC, X10, StochKit, and others. We implement Neptune as a software overlay for the AppScale cloud platform and extend AppScale with support for elasticity and hybrid execution for scientific computing applications. Neptune imposes no overhead on application execution, yet significantly simplifies the application deployment process, enables portability across cloud systems, and promotes lock-in avoidance by specific cloud vendors.

Keywords

Cloud platform Service placement Domain specific language

Mathematics Subject Classifications (2010)

D.3.2 C.2.4

Copyright information

© Springer Science+Business Media B.V. 2012