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 :
بازگشت