DocumentCode
2446847
Title
Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure
Author
Luckow, André ; Jha, Shantenu
Author_Institution
Center for Comput. & Technol., Louisiana State Univ., Baton Rouge, LA, USA
fYear
2010
fDate
Nov. 30 2010-Dec. 3 2010
Firstpage
550
Lastpage
556
Abstract
Azure is an emerging cloud platform developed and operated by Microsoft. It provides a range of abstractions and building blocks for creating scalable and reliable scientific applications. In this paper we investigate the applicability of the Azure abstractions to the well-known class of loosely coupled and ensemble-based applications. We propose the BigJob API as a novel abstraction for managing groups of Azure worker roles and for remotely executing tasks on them. We demonstrate that Azure enhanced with Big Job functionality provides performance comparable to other grid and cloud offerings loosely-coupled applications.
Keywords
application program interfaces; cloud computing; Azure abstractions; BigJob API; Microsoft; cloud platform; ensemble-based simulations; loosely-coupled simulations; Bandwidth; Computational modeling; Computer architecture; Dynamic scheduling; Hardware; Software; Cloud; Distributed Computing; Grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-9405-7
Electronic_ISBN
978-0-7695-4302-4
Type
conf
DOI
10.1109/CloudCom.2010.85
Filename
5708499
Link To Document