Joint optimization of service chain caching and task offloading in mobile edge computing

2021 ◽  
Vol 103 ◽  
pp. 107142
Author(s):  
Kai Peng ◽  
Jiangtian Nie ◽  
Neeraj Kumar ◽  
Chao Cai ◽  
Jiawen Kang ◽  
...  
Keyword(s):  
Edge Computing ◽  
Joint Optimization ◽  
Mobile Edge Computing ◽  
Service Chain ◽  
And Task ◽  
Task Offloading

scholarly journals Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing

2021 ◽  
pp. 1-1
Author(s):  
Jia Yan ◽  
Suzhi Bi ◽  
Lingjie Duan ◽  
Ying-Jun Angela Zhang
Keyword(s):  
Edge Computing ◽  
Mobile Edge Computing ◽  
And Task ◽  
Task Offloading

Joint wireless power transfer and task offloading in mobile edge computing: a survey

2021 ◽  
Author(s):  
Ehzaz Mustafa ◽  
Junaid Shuja ◽  
S. Khaliq uz Zaman ◽  
Ali Imran Jehangiri ◽  
Sadia Din ◽  
...  
Keyword(s):  
Wireless Power Transfer ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Power Transfer ◽  
Wireless Power ◽  
And Task ◽  
Task Offloading

scholarly journals Priority-Based Offloading and Caching in Mobile Edge Cloud

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Fernaz Narin Nur ◽  
Saiful Islam ◽  
Nazmun Nessa Moon ◽  
Asif Karim ◽  
Sami Azam ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Mobile Network ◽  
Edge Computing ◽  
Joint Optimization ◽  
Mobile Edge Computing ◽  
Stage Of Development ◽  
Research Initiative ◽  
Novel Concept ◽  
Reducing Energy ◽  
Task Offloading

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.

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