Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Ubiquitous Cloud-based Mobile Edge Computing

Ubiquitous Cloud-based Mobile Edge Computing

Journal
Impact Score 1.65

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 15-01-2021
Journal Impact Score: 1.65
Journal Name: Distributed and Parallel Databases
Publisher: Distributed and Parallel Databases
Journal & Submission Website: https://www.springer.com/journal/10619

Special Issue Call for Papers

Massive growth of networked technologies like IoT, 5G networks, cloud computing and edge networks has given rise to major advances in big data storage, processing and communication technologies to process and extract the required data from the wide range of available structured and unstructured data sources. These advances mandate an urgent need to develop effective approaches to readily process the large amount of data obtained from big data applications. Big data analytics plays a significant role in various domains such as smart cities, healthcare, smart surveillance, automotive applications and in other real-time monitoring applications. Despite these advances, the big data research community faces significant challenges in data availability, security, privacy and trust.

The existing cloud computing solutions has certain limitations like centralized processing architectures and open environment with a restrictive control of the service provider, which poses a serious threat to the available information’s security and privacy. To develop and deploy solutions that overcome such data security challenges, Edge computing techniques are increasingly being incorporated in cloud based data storage and processing models. Hence, the current trend is to extend the traditional cloud computing model with edge computing model with advanced 5G networks to intermediate the connection between cloud computing systems and their users. This makes the destination networks to remain closer to the data sources when compared with the traditional big data processing technologies that are solely based on the cloud computing paradigm. This type of data processing at the network edge enhances the security, privacy and trust of the big data analytics models by providing secured authentication and accountability models. As this technology still remains at the nascent stage in the real-time applications, further research exploration of this cloud-based edge computing techniques is needed to deploy innovative data processing applications to the big data research community.

This special issue aims to gather the state-of-the-art research works that integrates cloud and edge computing model to enhance the security, privacy and trust of Big data analytics framework.

Potential topics include, but are not limited to:

Deadline for submissions: January 15 2021

Guest Editors

A. Pasumpon Pandian, Vaigai College of Engineering, India (Lead Guest Editor)
Noureddine Bouhmala, University of Southeast Norway (USN), Norway
Xavier Fernando, Ryerson University, Canada
V. Suma, Dayananda Sagar College of Engineering, India

Submission Instructions

The submitted manuscripts must be written in English and describe original research not published nor currently under review by other journals or conferences. Parallel submissions will not be accepted. All submitted papers, if relevant to the theme and objectives of the special issue, will go through a vigorous peer-review process. Submissions should (i) conform strictly to the Instructions for Authors available on the Journal website and (ii) be submitted through the Editorial Management system available at: http://www.editorialmanager.com/DAPD



Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
Artificial Intelligence in Healthcare Data Management

Artificial Intelligence in Healthcare Data Management

Distributed and Parallel Databases
Closing date: 05-08-2021 G2R Score: 1.65
Blockchain

Blockchain

Distributed and Parallel Databases
Closing date: 31-07-2021 G2R Score: 1.65
Ubiquitous Cloud-based Mobile Edge Computing

Ubiquitous Cloud-based Mobile Edge Computing

Distributed and Parallel Databases
Closing date: 15-01-2021 G2R Score: 1.65
Spatio-temporal data driven urban computing

Spatio-temporal data driven urban computing

Distributed and Parallel Databases
Closing date: 31-03-2020 G2R Score: 1.65