Research Article
Integrated Cloud Cockpit: A viable approach to surveillance and detection of leaks in oil pipelines
@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
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.
Copyright © 2019 Garima Srivastava et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
