Journal ArticleDOI
Fog Computing: Helping the Internet of Things Realize Its Potential
TLDR
Fog computing is designed to overcome limitations in traditional systems, the cloud, and even edge computing to handle the growing amount of data that is generated by the Internet of Things.Abstract:
The Internet of Things (IoT) could enable innovations that enhance the quality of life, but it generates unprecedented amounts of data that are difficult for traditional systems, the cloud, and even edge computing to handle. Fog computing is designed to overcome these limitations.read more
Citations
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Journal ArticleDOI
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge
TL;DR: In this paper, the authors identify challenges and opportunities in making accelerators accessible at the edge of the network for improving quality of service (QoS) by minimizing end-to-end latency and response times.
Proceedings ArticleDOI
Reliable and Privacy-Preserving Selective Data Aggregation for Fog-Based IoT
TL;DR: This paper proposes a novel privacy-preserving and reliable scheme for the fog-based IoT to address the data privacy and reliability challenges of the selective data aggregation service, and defines a new threat model to formalize the non-collusive and collusive attacks of compromised fog nodes.
Book ChapterDOI
Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds
TL;DR: This chapter surveys all the relevant aspects of network slicing, with the focus on networking technologies such as Software-defined networking (SDN) and Network Function Virtualization (NFV) in 5G, Fog/Edge and Cloud Computing platforms.
Journal ArticleDOI
A survey on privacy and access control schemes in fog computing
Tauqeer Khalid,Muhammad Abbas Khan Abbasi,Maria Zuraiz,Abdul Nasir Khan,Mazhar Ali,Raja Ahmad,Joel J. P. C. Rodrigues,Mudassar Aslam +7 more
TL;DR: This survey embodies to discuss, explain, and compare various privacy preserving and access control schemes in the context of fog computing for classifying and analyzing similarities and variances with respect to other researchers.
Journal ArticleDOI
Task-Driven Data Offloading for Fog-Enabled Urban IoT Services
TL;DR: This work leverages the fog architecture to devise a task-driven data offloading (TDO) algorithm in urban IoT services, and it is proved the TDO problem is NP-hard, and the G-TDO algorithm is devised to solve it with a careful designed utility function.
References
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Journal ArticleDOI
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
TL;DR: In this paper, the authors propose a simulator, called iFogSim, to model IoT and fog environments and measure the impact of resource management techniques in latency, network congestion, energy consumption, and cost.
Book ChapterDOI
Fog Computing: A Platform for Internet of Things and Analytics
TL;DR: This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
Journal ArticleDOI
The Promise of Edge Computing
Weisong Shi,Schahram Dustdar +1 more
TL;DR: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud.
Proceedings ArticleDOI
The Fog computing paradigm: Scenarios and security issues
Ivan Stojmenovic,Sheng Wen +1 more
TL;DR: The motivation and advantages of Fog computing are elaborated, and its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks are analysed.
Proceedings ArticleDOI
Towards wearable cognitive assistance
TL;DR: The architecture and prototype implementation of an assistive system based on Google Glass devices for users in cognitive decline that combines the first-person image capture and sensing capabilities of Glass with remote processing to perform real-time scene interpretation is described.