Managing internet things applications (22 résultats)

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Etat : New. KlappentextrnrnThis book covers state of the art interdisciplinary research on key disruptive and interrelated technologies such as Big Data, Edge computing, IoT and Cloud computing. The authors address the challenges from a distributed syste.

Hardcover. Etat : Brand New. 700 pages. 9.21x6.14x9.21 inches. In Stock.

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Buch. Etat : Neu. Neuware - This book covers state of the art interdisciplinary research on key disruptive and interrelated technologies such as Big Data, Edge computing, IoT and Cloud computing. The authors address the challenges from a distributed system perspective, with clear contributions in theory and applications. Real-world case studies look at the integration of these technologies in healthcare, disaster management, smart grids, and other areas. The book covers vital topics including devices and sensing; cloud and edge Infrastructure; big data processing; application resource management; and privacy and security.…

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Buch. Etat : Neu. Neuware - The Internet of Things (IoT) refers to the evolution of the internet as the interconnection not just of computers, but also uniquely identifiable, pervasive embedded devices. Research has estimated there will be nearly 30 billion devices on the Internet of Things within the next decade. The implementation and deployment of the IoT brings with it management challenges around seamless integration, heterogeneity, scalability, mobility, security, and many other issues. This book explores these challenges and possible solutions. Topics covered include topology control for building scalable energy efficient IoT; a survey of wireless sensor network operating systems; concepts, designs and implementation of wireless sensor network operating systems; OSIRIS - a framework for sensor-based monitoring systems; modeling and tracing events in RFID-enabled supply chains; a new clone detection approach in RFID-enabled supply chains; participatory sensing networks - a paradigm to achieve IoT applications; market structure analysis of the economics of IoT; and IoT and big data applications for urban planning and building smart cities. This book is essential reading for researchers in academia and industry developing IoT technologies - an interdisciplinary area that brings together researchers in telecommunications, sensor networks, computing and security.…

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Hardback. Etat : New. Cloud computing has been a game changer for internet-based applications such as content delivery networks, social networking and multi-tier enterprise applications. However, the requirements for low-latency data access, security, bandwidth, mobility, and cost have challenged centralized data center-based cloud computing models, which is driving the need for the novel computing paradigms of edge and fog computing. The internet of things (IoT) focuses on discovery, aggregation, management, and acting on data originating from internet-connected devices via programmable sensors, actuators, mobile phones, surveillance cameras, routers, gateways and switches. But the aggregation of this data is expensive and can be time consuming. Traditional cloud-centric resource management models need to move towards more distributed and decentralized models so that they can cope with the challenges posed by the evolution of IoT smart devices and network solutions. However, supporting IoT data processing across cloud and edge data centers is not a trivial challenge. IoT sensing devices must be configured as a collection of data-analytics driven workflows where each node in the process can essentially run on multiple heterogeneous cloud and edge data centers. This book presents state-of-the-art interdisciplinary computing research in the application lifecycle management for internet of things in edge and cloud computing. The book addresses challenges from a distributed system perspective that includes both cyber and physical aspects. The authors aim to bring together the four paradigms of cloud and edge computing, cyber physical systems, internet of things and big data for future ICT systems. Written and edited by an international team of experts in the field, this book offers key insights to researchers, engineers, IT professionals, advanced students, postgraduate students and lecturers working in the fields of parallel and distributed computing, data mining, information retrieval, cloud, edge and fog computing, and the IoT.…

Hardback. Etat : New. Cloud computing has been a game changer for internet-based applications such as content delivery networks, social networking and multi-tier enterprise applications. However, the requirements for low-latency data access, security, bandwidth, mobility, and cost have challenged centralized data center-based cloud computing models, which is driving the need for the novel computing paradigms of edge and fog computing. The internet of things (IoT) focuses on discovery, aggregation, management, and acting on data originating from internet-connected devices via programmable sensors, actuators, mobile phones, surveillance cameras, routers, gateways and switches. But the aggregation of this data is expensive and can be time consuming. Traditional cloud-centric resource management models need to move towards more distributed and decentralized models so that they can cope with the challenges posed by the evolution of IoT smart devices and network solutions. However, supporting IoT data processing across cloud and edge data centers is not a trivial challenge. IoT sensing devices must be configured as a collection of data-analytics driven workflows where each node in the process can essentially run on multiple heterogeneous cloud and edge data centers. This book presents state-of-the-art interdisciplinary computing research in the application lifecycle management for internet of things in edge and cloud computing. The book addresses challenges from a distributed system perspective that includes both cyber and physical aspects. The authors aim to bring together the four paradigms of cloud and edge computing, cyber physical systems, internet of things and big data for future ICT systems. Written and edited by an international team of experts in the field, this book offers key insights to researchers, engineers, IT professionals, advanced students, postgraduate students and lecturers working in the fields of parallel and distributed computing, data mining, information retrieval, cloud, edge and fog computing, and the IoT.…

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