Impact of Intelligent Networking on Vehicles Exiting at Urban Intersections

Pushing computing, control, data storage, and processing into the cloud has been a key trend in the past decade. However, the cloud alone encounters growing limitations, such as reduced latency, high mobility, high scalability, and real-time execution in order to meet the upcoming computing and intelligent networking demands. A new paradigm called fog computing has emerged to overcome these limits. Fog extends cloud computing and services to the edge of the network. It provides data, computing, storage, and application services to end-users that can be hosted at the network edge. It reduces service latency, and improves QoS/QoE, that results in superior user experience. This chapter is about introduction and overview of fog computing, comparison between fog computing and cloud computing, fog computing and mobile edge computing, possible fog computing architecture, applications of fog computing, and possible research directions.

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Quality Evaluation of Cloud and Fog Computing Services in 5G Networks

Enabling Technologies and Architectures for Next-Generation Networking Capabilities - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-5225-6023-4.ch001 ◽

2019 ◽

pp. 1-36 ◽

Cited By ~ 1

Author(s):

Stojan Kitanov ◽

Borislav Popovski ◽

Toni Janevski

Keyword(s):

Network Performance ◽

Fog Computing ◽

High Mobility ◽

Network Control ◽

5G Networks ◽

New Paradigm ◽

Network Function ◽

Computing Services ◽

5G Network ◽

Intelligent Networking

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.

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Intelligent Networking and Business Process Innovation

Business Information Systems ◽

10.4018/978-1-61520-969-9.ch088 ◽

2010 ◽

pp. 1412-1424

Author(s):

Richard A. Gershon

Keyword(s):

Organizational Performance ◽

Business Process ◽

Business Processes ◽

Process Innovation ◽

Just In Time ◽

Intelligent Network ◽

Case Study Analysis ◽

Small Organizations ◽

Box Office ◽

Intelligent Networking

Today, innovation is much more about much than just developing new products. It is about reinventing business processes and building entirely new markets to meet untapped customer needs. This chapter will examine the subject of business process innovation which involves creating systems and methods for improving organizational performance. Special attention is given to the topic of intelligent networking which represents the combination of software, technology, and electronic pathways that makes business process innovation possible for both large and small organizations alike. A central tenet is that the intelligent network is not one network, but a series of networks designed to enhance world-wide communication for business and residential users. Two very different kinds of intelligent networks are discussed in this chapter. The first involves satellite-to-cable television networking where the emphasis is on program distribution to the end consumer. The second is a supply chain management network where the emphasis is on just-in-time manufacturing. Each of the said networks represents a highly innovative business process and share the common goal of improving organizational performance. The information presented in this chapter is theory-based and supported by a case-study analysis of Home Box Office, Inc. and Dell Computers.

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