Izvorni znanstveni članak
https://doi.org/10.24138/jcomss.v15i2.707
Priority-Based Offloading and Caching in Mobile Edge Cloud
Fernaz Narin Nur
; Daffodil International University, Dhaka, Bangladesh
Saiful Islam
orcid.org/0000-0002-8747-7308
; Daffodil International University, Dhaka, Bangladesh
Nazmun Nessa Moon
; Daffodil International University, Dhaka, Bangladesh
Asif Karim
; College of Engineering, IT and Environment, Charles Darwin University, NT, Australia
Sami Azam
; College of Engineering, IT and Environment, Charles Darwin University, NT, Australia
Bharanidharan Shanmugam
; College of Engineering, IT and Environment, Charles Darwin University, NT, Australia
Sažetak
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.
Ključne riječi
caching; computation offloading; mobile edge computing; priority; energy efficient; delay efficient.
Hrčak ID:
220972
URI
Datum izdavanja:
1.6.2019.
Posjeta: 928 *