P4-SimSaaS: Policy specification for multi-tendency simulation Software-as-a-Service model

Author

Tsai, Wei-Tek ; Li, Wu ; Bai, Xiaoying ; Elston, Jay

Author_Institution

Sch. of Comput., Inf. & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA

fYear

2011

fDate

11-14 Dec. 2011

Firstpage

3067

Lastpage

3081

Abstract

Simulation can benefit from cloud computing that often comes with thousands of processors and its soft-ware is structured as Software-as-a-Service (SaaS) with its Multi-Tenancy Architecture (MTA). To sup-port multiple tenants, simulation SaaS models need be modeled and customized to fulfill the various functional and quality requirements of individual tenants. The multitude options of tenant-specific data have made the simulation models and execution processes rather complicated. This paper presents P4-SimSaaS that comes with an new ontology system and an innovative tenant related policy specification for Simulation SaaS. P4-SimSaaS can reduce the complexity in the MTA simulation models and consequently increase the flexibility in MTA simulation execution environment. A case study is offered to demonstrate the entire framework.

Keywords

cloud computing; digital simulation; ontologies (artificial intelligence); software architecture; MTA; P4-SimSaaS; SaaS; cloud computing; multitenancy architecture; multitendency simulation software-as-a-service model; ontology system; policy specification; Buildings; Computational modeling; Data models; Educational institutions; Ontologies; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference (WSC), Proceedings of the 2011 Winter

Conference_Location

Phoenix, AZ

ISSN

0891-7736

Print_ISBN

978-1-4577-2108-3

Electronic_ISBN

0891-7736

Type

conf

DOI

10.1109/WSC.2011.6148007

Filename

6148007