Scopus Indexed Paper

Paper Details


Title
Priority-Based Offloading and Caching in Mobile Edge Cloud
Abstract
Mobile Edge Computing (MEC) is relatively a novel concept in the parlance of Computational Offloading. MEC signifies the offloading of intensive computational tasks to the cloud which is generally positioned at the edge of a mobile network. Being in an embryonic stage of development, not much research has yet been done in this field despite its potential promises. However, with time the advantages are gaining growing attention and MEC is gradually taking over some of the resource-intensive functionalities of a traditional centralized cloud-based system. Another new idea called Task Caching is emerging rapidly with the offloading policy. This joint optimization idea of Task Offloading and caching is relatively a very new concept. It has been in use for reducing energy consumption and delay time for mobile edge computing. Due to the encouraging offshoots from some of the current research on the joint optimization problem, this research initiative aims to take the progress forward. The work improves upon the “prioritization of the tasks” by adopting a very practical approach discussed forward, and proposes a different way for Task Offloading and caching to the edge of the cloud, thereby bringing a significant enhancement to the QoS of MEC.
Keywords
caching, computation offloading, mobile edge computing, priority, energy efficient, delay efficient.
Authors
Fernaz Narin Nur, Saiful Islam, Nazmun Nessa Moon, Asif Karim, Sami Azam, Bharanidharan Shanmugam
Phone
Journal or Conference Name
Journal of Communications Software and Systems
Publish Year
2019
Indexing
Scopus