TY - JOUR
T1 - Exploring cloud-based Web Processing Service
T2 - A case study on the implementation of CMAQ as a Service
AU - Zhang, Chen
AU - Di, Liping
AU - Sun, Ziheng
AU - Lin, Li
AU - Yu, Eugene G.
AU - Gaigalas, Juozas
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/3
Y1 - 2019/3
N2 - As an important tool for air quality simulation, the Community Multiscale Air Quality (CMAQ) model is widely used in the environmental modeling community. However, setting up and running the CMAQ model could be challenging for many scientists, especially when they have limited computing resources and little experience in handling large-scale input data. In this study, we explore the cloud-based Web Processing Service (WPS) and present the Cloud WPS framework to support implementing Earth science model as WPS. Specifically, to make CMAQ easier to use for scientists through the latest standard-based Web service technology, CMAQ-WS, a prototype of CMAQ as a Service, is developed and tested. The result of the experiment shows the framework significantly improves not only the performance of but also ease of use of the CMAQ model thus providing great benefits to the environmental modeling community. Meanwhile, the proposed framework provides a general solution to integrate Earth science model, WPS, and cloud infrastructure, which can greatly reduce the workload of Earth scientists.
AB - As an important tool for air quality simulation, the Community Multiscale Air Quality (CMAQ) model is widely used in the environmental modeling community. However, setting up and running the CMAQ model could be challenging for many scientists, especially when they have limited computing resources and little experience in handling large-scale input data. In this study, we explore the cloud-based Web Processing Service (WPS) and present the Cloud WPS framework to support implementing Earth science model as WPS. Specifically, to make CMAQ easier to use for scientists through the latest standard-based Web service technology, CMAQ-WS, a prototype of CMAQ as a Service, is developed and tested. The result of the experiment shows the framework significantly improves not only the performance of but also ease of use of the CMAQ model thus providing great benefits to the environmental modeling community. Meanwhile, the proposed framework provides a general solution to integrate Earth science model, WPS, and cloud infrastructure, which can greatly reduce the workload of Earth scientists.
KW - Cloud computing
KW - CMAQ
KW - Earth science model
KW - OGC
KW - Web service
KW - WPS
UR - http://www.scopus.com/inward/record.url?scp=85058803779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058803779&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2018.11.019
DO - 10.1016/j.envsoft.2018.11.019
M3 - Article
AN - SCOPUS:85058803779
SN - 1364-8152
VL - 113
SP - 29
EP - 41
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
ER -