Towards Distributed Data Management in Fog Computing
Joint Authors
Moscholios, Ioannis
Sarigiannidis, Panagiotis
Moysiadis, Vasileios
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms.
Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data.
However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations.
An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing.
Fog Computing provides high-quality Cloud services in the physical proximity of mobile users.
Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth.
This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm.
The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems.
In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.
American Psychological Association (APA)
Moysiadis, Vasileios& Sarigiannidis, Panagiotis& Moscholios, Ioannis. 2018. Towards Distributed Data Management in Fog Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1216243
Modern Language Association (MLA)
Moysiadis, Vasileios…[et al.]. Towards Distributed Data Management in Fog Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1216243
American Medical Association (AMA)
Moysiadis, Vasileios& Sarigiannidis, Panagiotis& Moscholios, Ioannis. Towards Distributed Data Management in Fog Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1216243
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216243