Title :
Investigating WS-PGRADE workflows for Cloud-based distributed simulation
Author :
Nauman R. Chaudhry;Athar Nouman;Anastasia Anagnostou;Simon J.E. Taylor
Author_Institution :
Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK
Abstract :
Cloud computing enables access to computing infrastructure as a utility without the associated high cost. The impact of Cloud computing on simulation software is just beginning with some simulation vendors using Cloud “solutions” in a similar manner to Web-based Simulation systems. CloudSME Simulation Platform that supports simulation software to be deployed as service is supported by a cloud platform. Distributed simulation has the simple goal of interoperating models together over a network to either (a) build larger models and/or (b) share the processing of a large model. Distributed simulation uses technology typically based on the IEEE 1516-2010 High Level Architecture. Cloud computing allows for the elastic provision of multiple processing nodes, as specified by the simulation end user, based on factors that include the number of simulation runs required, the time available for experiments, and the costs of processing. In this study, we presents a framework for cloud-based distributed simulation.
Keywords :
"Computational modeling","Cloud computing","Ports (Computers)","Computer architecture","Runtime","Data models"
Conference_Titel :
Winter Simulation Conference (WSC), 2015
Electronic_ISBN :
1558-4305
DOI :
10.1109/WSC.2015.7408459