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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - Winter Simulation Conference |
| Pages | 3067-3081 |
| Number of pages | 15 |
| DOIs | |
| State | Published - 2011 |
| Event | 2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States Duration: Dec 11 2011 → Dec 14 2011 |
Other
| Other | 2011 Winter Simulation Conference, WSC 2011 |
|---|---|
| Country | United States |
| City | Phoenix, AZ |
| Period | 12/11/11 → 12/14/11 |
Fingerprint
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Computer Science Applications
Cite this
P4-SimSaaS : Policy specification for multi-tendency simulation software-as-a-service model. / Tsai, Wei Tek; Li, Wu; Bai, Xiaoying; Elston, Jay.
Proceedings - Winter Simulation Conference. 2011. p. 3067-3081 6148007.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - P4-SimSaaS
T2 - Policy specification for multi-tendency simulation software-as-a-service model
AU - Tsai, Wei Tek
AU - Li, Wu
AU - Bai, Xiaoying
AU - Elston, Jay
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84863273514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863273514&partnerID=8YFLogxK
U2 - 10.1109/WSC.2011.6148007
DO - 10.1109/WSC.2011.6148007
M3 - Conference contribution
AN - SCOPUS:84863273514
SN - 9781457721083
SP - 3067
EP - 3081
BT - Proceedings - Winter Simulation Conference
ER -