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Proceedings ArticleDOI

Fog computing and its role in the internet of things

TLDR
This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Abstract
Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).

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Journal ArticleDOI

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
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Edge Computing: Vision and Challenges

TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
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A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.
Posted Content

A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI

Federated Learning: Challenges, Methods, and Future Directions

TL;DR: In this paper, the authors discuss the unique characteristics and challenges of federated learning, provide a broad overview of current approaches, and outline several directions of future work that are relevant to a wide range of research communities.
References
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Journal Article

An extensive empirical study of feature selection metrics for text classification

TL;DR: An empirical comparison of twelve feature selection methods evaluated on a benchmark of 229 text classification problem instances, revealing that a new feature selection metric, called 'Bi-Normal Separation' (BNS), outperformed the others by a substantial margin in most situations and was the top single choice for all goals except precision.
Journal ArticleDOI

Reasoning about naming systems

TL;DR: A preference hierarchy is described that can be used to specify the structure of a naming system’s inference mechanism and defines criteria by which different naming systems can be evaluated.
Proceedings ArticleDOI

The cubic mouse: a new device for three-dimensional input

TL;DR: A new input device that allows users to intuitively specify three-dimensional coordinates in graphics applications, which consists of a cube-shaped box with three perpendicular rods passing through the center and buttons on the top for additional control.

Constraint satisfaction and debugging for interactive user interfaces

TL;DR: This dissertation examines the use of local propagation constraint solvers in user interface toolkits, and presents three new systems: the SkyBlue constraint solver, the Multi-Garnet package, and the CNV user interface builder and debugger.
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