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
More filters
Journal ArticleDOI
Container selection processing implementing extensive neural learning in cloud services
S Muthakshi,K Mahesh +1 more
TL;DR: The container selection processing performance analyses huge data with minimal resources and the lowest latency and the container that has performance degradation implicit provision of least expensive containers with minimal resource helps to increase the performance of containers.
Proceedings ArticleDOI
Toward Multiple Smart Home Scenario with Fog Computing Enabled
TL;DR: In this paper , the authors proposed a multiple smart-home scenario with fog computing-enabled, where each smarthome unit consists of one camera and three sensors, and the camera for security is integrated with face and object detection.
Journal ArticleDOI
Blockchain for Enhancing Security of IoT Devices
TL;DR: In this article , the authors investigated fundamental working principles of blockchain and how blockchain-based systems achieve the characteristics of decentralization, security and trustless for the Internet of Things (IoT).
Journal ArticleDOI
EdgeDecAp: An auction-based decentralized algorithm for optimizing application placement in edge computing
TL;DR: In this article , a decentralized approach for the dynamic re-optimization of edge application placement is presented, which adopts an algorithm of Malek et al. for distributed systems and modify it to make it applicable to edge computing.
Book ChapterDOI
Location Based Communication Privacy in Internet of Vehicles Using Fog Computing
TL;DR: In this article, the authors proposed a productive area based correspondence protection in VANETs communication in which, they utilize the fog computing (FC) alongside TTP calculation and data perturbation before sending the inquiry to the TTP first, they anonymized the communication information by utilizing data perturbing, then, they utilized the Adaptive Interval Cloaking Algorithm (AICA) as TTP to handle the ideal question from vehicles to LBS In this paper, they provided the double communication privacy based on data and AICA Subsequent to accepting the prepared inquiry from
References
More filters
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.