Essentiality of managing the resource information in the coordinated fog‐to‐cloud paradigm. (26th December 2019)

• Record Type: Journal Article
• Authors: Sengupta, Souvik; Garcia, Jordi; Masip‐Bruin, Xavi
• Other Names: Souihi Sami guestEditor.; Bitam Salim guestEditor.; Mellouk Abdelhamid guestEditor.; Abreu Thiago guestEditor.; Hoceini Said guestEditor.; Fowler Scott guestEditor.; Medileh Saci guestEditor.; De Swades guestEditor.; Shami Abdallah guestEditor.
• Is Part Of: International journal of communication systems. Volume 33:Number 10(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-26
• Subjects: cloud -- fog -- F2C -- IoT -- resources management -- taxonomy; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.4286
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: Fog‐to‐cloud (F2C) computing is an emerging computational platform. By combing the cloud, fog, and IoT, it provides an excellent framework for managing and coordinating the resources in any smart computing domain. Efficient management of these kinds of diverse resources is one of the critical tasks in the F2C system. Also, it must be considered that different types of services are offered by any smart system. So, before managing these resources and enabling the various types of services, it is essential to have some comprehensive informational catalogue of resources and services. Hence, after identifying the resource and service‐task taxonomy, our main aim in this paper is finding out a solution for properly organizing this information over the F2C system. For that purpose, we are proposing a modified F2C framework where all the information is distributively stored near to the edge of the network. Finally, by presenting some experimental results, we evaluate and validate the performance of our proposing framework. Abstract : Proper organization of resources information over the system is an essential need for designing an efficient resource management mechanism in fog‐to‐cloud (F2C)‐based computing paradigm. Considering this fact, in this paper, we are proposing a modified F2C framework where all the information is distributively stored near to the edge of the network. Finally, by performing some tests, we compare the performance of our proposed model with the traditional cloud‐based computing paradigm.