Title :
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
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;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
DOI :
10.1109/WSC.2011.6148007
