cs 19(15): e4

Research Article

Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines

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  • @ARTICLE{10.4108/eai.16-7-2019.162215,
        author={Garima Srivastava and Yeshwant More and Jenifer Sam},
        title={Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines},
        journal={EAI Endorsed Transactions on Cloud Systems},
        volume={5},
        number={15},
        publisher={EAI},
        journal_a={CS},
        year={2019},
        month={7},
        keywords={Cloud Integration, Oil and Gas Pipelines, Machine Learning, Big data, IoT, Security, Google Cloud Platform},
        doi={10.4108/eai.16-7-2019.162215}
    }
    
  • Garima Srivastava
    Yeshwant More
    Jenifer Sam
    Year: 2019
    Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines
    CS
    EAI
    DOI: 10.4108/eai.16-7-2019.162215
Garima Srivastava1,*, Yeshwant More1, Jenifer Sam1
  • 1: Solution Architect, SAP Labs India Pvt. Ltd.
*Contact email: garima.srivastava@sap.com

Abstract

Building a secure platform to connect distributed products, software and hardware simplifies digitization of businesses. This calls for platforms that can help companies ideate, prototype, validate and develop using cutting edge technologies such as Artificial Intelligence, Internet of Things, Block Chain, Big Data and Analytics. In this paper, we illustrate how such Integrated Cloud Cockpits (ICC) provide a seamless environment with services that facilitate development of next generation smart applications that are scalable, resilient, secure and provide decreased price-performance ratio. We support this research by presenting an empirical study on how intelligent surveillance and predictive maintenance of oil pipelines is made practicable by employing collaborative cloud services. We have leveraged the services provided by Google Cloud Platform to show how existing cloud platforms can suffice the needs of a secure and fully featured enterprise use case.