Real-Time HazMat Environmental Information System: A micro-service based architecture

Abstract: The dangerous goods are important to businesses and the life of a city. Thousands of tons of oil, toxic, chemical, corrosive, flammable and radioactive materials are transported each day. However, an accident involving hazardous materials could entail serious consequences for road users, infrastructure, and the environment. In order to build a planning aid system to reduce the risks of transporting hazardous, we adopt a microservices-based architecture on a cloud environment. This type of architecture consists of a set of loosely coupled and independently deployable services for more scalable applications. Due to distributed nature of microservices, the system will be developed as a suite of small services aligned with risk management process; each service will be running in its own logical machine or container technology such as Docker.

[1]  Viktor Farcic The DevOps 2.0 Toolkit: Automating the Continuous Deployment Pipeline with Containerized Microservices , 2016 .

[2]  Sophia Antipolis,et al.  MongoDB-Hadoop Distributed and Scalable Framework for Spatio-Temporal Hazardous Materials Data Warehousing , 2014 .

[3]  Terje Aven,et al.  Quantitative Risk Assessment: The Scientific Platform , 2011 .

[4]  Jesus Alonso-Zarate,et al.  A Survey on Application Layer Protocols for the Internet of Things , 2015 .

[5]  David Gonzalez Developing Microservices with Node.js , 2016 .

[6]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[7]  C. Bonadonna,et al.  A fast GIS-based risk assessment for tephra fallout: the example of Cotopaxi volcano, Ecuador-Part II: vulnerability and risk assessment , 2012, Natural Hazards.

[8]  Adam C. Winstanley,et al.  NoSQL storage and management of geospatial data with emphasis onserving geospatial data using standard geospatial web services , 2013 .

[9]  Nigel Hyatt Guidelines for Process Hazards Analysis (PHA, HAZOP), Hazards Identification, and Risk Analysis , 2003 .

[10]  Bob Familiar,et al.  Microservices, IoT and Azure: Leveraging DevOps and Microservice Architecture to deliver SaaS Solutions , 2015 .

[11]  Walter Ukovich,et al.  Hazardous Materials Transportation: a Literature Review and an Annotated Bibliography , 2008 .

[12]  Hing Kai Chan,et al.  Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications , 2013 .

[13]  Simon Holmes Getting MEAN with Mongo, Express, Angular, and Node , 2015 .