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Fog computingconcepts, frameworks an...

Mahmood, Zaigham.

Fog computingconcepts, frameworks and technologies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fog computingedited by Zaigham Mahmood.
其他題名:	concepts, frameworks and technologies /
其他作者:	Mahmood, Zaigham.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xxi, 291 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Cloud computing.
電子資源:	http://dx.doi.org/10.1007/978-3-319-94890-4
ISBN:	9783319948904$q(electronic bk.)

Fog computingconcepts, frameworks and technologies /
Fog computingconcepts, frameworks and technologies /[electronic resource] :edited by Zaigham Mahmood. - Cham :Springer International Publishing :2018. - xxi, 291 p. :ill., digital ;24 cm.

PART I: Concepts and Principles -- Fog Computing: Concepts, Principles and Related Paradigms -- Fog Computing in the IoT Environment: Principles, Features and Models -- Dichotomy of Fog Computing in the Realm of Cloud Computing: Exploring the Emerging Dimensions -- Fog Computing in a Developing World Context: Jumping on the Bandwagon -- PART II: Frameworks and Technologies -- Analyzing IoT, Fog and Cloud Environments using Real Sensor Data -- Performance Enhancement of Fog Computing Using SDN and NFV Technologies -- Mechanisms Towards Enhanced Quality of Experience (QoE) in Fog Computing Environments -- Specifying Software Services for Fog Computing Architectures Using Recursive Model Transformations -- A Data Utility Model for Data Intensive Applications in Fog Computing Environments -- PART III: Advanced Topics and Future Directions -- Context-Aware Intelligent Systems for Fog Computing Environments for Cyber-Threat Intelligence -- SEF-SCC: Software Engineering Framework for Service and Cloud Computing -- Data and Computation Movement in Fog Environments: the DITAS Approach -- Towards Edge-Based Caching in Software-Defined Heterogeneous Vehicular Networks.

This authoritative text/reference describes the state of the art of fog computing, presenting insights from an international selection of renowned experts. A particular focus is provided on development approaches, architectural mechanisms, and measurement metrics for building smart adaptable environments. The coverage also includes important related topics such as device connectivity, security and interoperability, and communication methods. Topics and features: Introduces the core concepts and principles of fog computing, and reviews the latest research and best practice relating to fog/edge environments Discusses the vision for an Internet of Things (IoT) in terms of fog computing and other related distributed computing paradigms, such as cloud computing Presents a survey of the key issues and broader aspects of the fog paradigm, as well as the factors that affect adoption of fog computing Examines frameworks and methodologies for fog-based architecture design, improving performance, and measuring quality of experience Proposes tools and methodologies for analyzing large amounts of sensor data from smart city initiatives Describes approaches for designing robust services, management of data-intensive applications, context-aware data analysis, and vehicular networking Identifies potential future research directions and technological innovations in relation to distributed computing environments such as the IoT This enlightening volume offers essential perspectives for researchers of distributed computing and computer networking, as well as for advanced undergraduate and graduate students pursuing interests in this area. Professional engineers seeking to enhance security and connectivity in their IoT systems will also find this work to be a valuable reference. Prof. Dr. Zaigham Mahmood is an established author and editor of 22 books, Technology Consultant at Debesis Education UK, and Professor at the Shijiazhuang Tiedao University in China. He also holds positions as Foreign Professor at NUST and IIU in Pakistan.

ISBN: 9783319948904$q(electronic bk.)

Standard No.: 10.1007/978-3-319-94890-4doiSubjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

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