Paper Info
Title
Data Management Portfolio for Improvement of Privacy in Fog-to-cloud Computing Systems.
Abstract
With the challenge of the vast amount of data generated by devices at the edge of networks, new architecture needs a well-established data service model that accounts for privacy concerns. This paper presents an architecture of data transmission and a data portfolio with privacy for fog-to-cloud (DPPforF2C). We would like to propose a practical data model with privacy from a digitalized information perspective at fog nodes. In addition, we also propose an architecture for implicating the privacy of DPPforF2C used in fog computing. Technically, we design a data portfolio based on the Message Queuing Telemetry Transport (MQTT) and the Advanced Message Queuing Protocol (AMQP). We aim to propose sample data models with privacy architecture because there are some differences in the data obtained from IoT devices and sensors. Thus, we propose an architecture with the privacy of DPPforF2C for publishing data from edge devices to fog and to cloud servers that could be applied to fog architecture in the future.
Year
DOI
Venue
2019
10.1109/IIAI-AAI.2019.00179
IIAI-AAI
Field
DocType
Citations 
Data modeling,Computer science,Computer network,Message queue,MQTT,Information privacy,Data management,Data as a service,Data model,Cloud computing
Conference
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Prajak Chertchom101.01
Shigeaki Tanimoto28023.68
Tsutomu Konosu300.68
Motoi Iwashita44921.81
Toru Kobayashi52420.21
Hiroyuki Sato610125.20
Atsushi Kanai78824.10