Mohsen Amini Salehi – författare

IoT for Smart Operations in the Oil and Gas Industry elaborates on how the synergy between state-of-the-art computing platforms, such as Internet of Things (IOT), cloud computing, artificial intelligence, and, in particular, modern machine learning methods, can be harnessed to serve the purpose of a more efficient oil and gas industry. The reference explores the operations performed in each sector of the industry and then introduces the computing platforms and smart technologies that can enhance the operation, lower costs, and lower carbon footprint. Safety and security content is included, in particular, cybersecurity and potential threats to smart oil and gas solutions, focusing on adversarial effects of smart solutions and problems related to the interoperability of human-machine intelligence in the context of the oil and gas industry. Detailed case studies are included throughout to learn and research for further applications. Covering the latest topics and solutions, IoT for Smart Operations in the Oil and Gas Industry delivers a much-needed reference for the engineers and managers to understand modern computing paradigms for Industry 4.0 and the oil and gas industry. Follows a systematic and categorical taxonomy of the upstream, midstream, and downstream processes paired with cutting-edge technologies, which benefit computer scientists and engineers Understands advanced computing technologies reducing the costs of existing operations and carbon footprint Deeply dives into case studies that cover the entire oil and gas spectrum and explain bridges into applications

IoT for Smart Operations in the Oil and Gas Industry elaborates on how the synergy between state-of-the-art computing platforms, such as Internet of Things (IOT), cloud computing, artificial intelligence, and, in particular, modern machine learning methods, can be harnessed to serve the purpose of a more efficient oil and gas industry. The reference explores the operations performed in each sector of the industry and then introduces the computing platforms and smart technologies that can enhance the operation, lower costs, and lower carbon footprint. Safety and security content is included, in particular, cybersecurity and potential threats to smart oil and gas solutions, focusing on adversarial effects of smart solutions and problems related to the interoperability of human-machine intelligence in the context of the oil and gas industry. Detailed case studies are included throughout to learn and research for further applications. Covering the latest topics and solutions, IoT for Smart Operations in the Oil and Gas Industry delivers a much-needed reference for the engineers and managers to understand modern computing paradigms for Industry 4.0 and the oil and gas industry.- Follows a systematic and categorical taxonomy of the upstream, midstream, and downstream processes paired with cutting-edge technologies, which benefit computer scientists and engineers- Understands advanced computing technologies reducing the costs of existing operations and carbon footprint- Deeply dives into case studies that cover the entire oil and gas spectrum and explain bridges into applications

The second generation of cloud computing systems, known as domain-specific clouds, are emerging based on application-specific processors and serverless computing paradigm. As multimedia streaming services are increasingly growing in popularity and diversity, this book is authored to introduce “multimedia clouds” as a domain-specific cloud that operates in the intersection of cloud computing technologies and digital media streaming. The book concentrates on the architectural aspects of multimedia clouds and describes development of high-level abstractions that will mitigate the burden of programmers, cloud architects, and system administrators. Multimedia clouds not only democratize multimedia streaming and add flexibility to the streaming services, they also help stream providers to offer robust and reliable streaming services in a cost- and energy-efficient manner.