JOURNAL ARTICLE

A dististributed simulation platform for cloud computing

Abstract

Advances in cloud services gave Cloud-Based Simulation (CBS) considerable attentions to obtain reliable, available, and scalable simulation models capable of executing on the Cloud. However, major challenges such as synchronization, virtualization, and multi-tenancy overhead overshadows use of CBS especially for distributed simulation. These challenges affect performance of parallel executions and thus limit the offered benefits. To overcome these issues, we propose a new platform Distributed Simulation for Could Computing (DSC) developed, to facilitate implementation and parallel execution of simulations models in the cloud. This platform has several layers including a middleware and an HPC platform called HPCaaS (HPC as a Service). The middleware acts as a simulation engine facilitating users to develop simulation models whereas HPCaaS makes them executable on a cloud platform. Along with their associate API, the proposed architecture enables simulation users to seamlessly interact with a cloud environment and receive benefits of the cloud for their applications.

Keywords:
Cloud computing Computer science Scalability Distributed computing Executable Virtualization Middleware (distributed applications) Cloud testing Operating system Overhead (engineering) Virtual machine Cloud computing security

Metrics

3
Cited By
0.79
FWCI (Field Weighted Citation Impact)
24
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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