Hybrid Cloud Computing Platform for Hazardous Chemicals Releases Monitoring and Forecasting
Xuelin Shi, Yongjie Sui, Ying Zhao · Journal of Computers · 2012
While hazardous chemicals pollutions occurring, monitoring and forecasting are very important for emergency planning and evacuation. To implement the object, huge amounts of wireless sensors may be distributed in large area. The data gathered by the sensors are sent back to data centers for preprocessing and analysis, which need massive computing utility. Therefore a high effective computing paradigm is essential for the hazardous chemicals releases monitoring and forecasting. This paper brought out a hybrid cloud computing platform to solve the problem. It is an Infrastructure as a Service (IaaS) platform, which provides High Performance Computing (HPC) resources, virtualized computing resources, storage resources for hazardous chemicals releases data processing and analysis. Especially we designed a scheduling algorithm and QoS policy to assure efficiency of the platform. At last the platform capability and performance were demonstrated by application scenarios.