Identification of the Key Parameters for Computational Offloading in Multi-Access Edge Computing

被引：1

作者：

Singh, Raghubir ^{[1
,2
]}

Armour, Simon ^{[1
,2
]}

Khan, Aftab ^{[3
]}

Sooriyabandara, Mahesh ^{[3
]}

Oikonomou, George ^{[1
,2
]}

机构：

[1] Univ Bristol, Commun Syst & Networks Res Grp, Bristol, Avon, England

[2] Univ Bristol, Dept Elect & Elect Engn, Bristol, Avon, England

[3] Toshiba Res Europe Ltd, Telecommun Res Lab, Bristol, Avon, England

来源：

2020 IEEE CLOUD SUMMIT | 2020年

基金：

英国工程与自然科学研究理事会;

关键词：

Computation Offloading; Multi-Access Edge Computing; CPU Workloads; Energy Usage;

D O I：

10.1109/IEEECloudSummit48914.2020.00026

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Computational offloading is a strategy by which mobile device (MD) users can access the superior processing power of a Multi-Access Edge Computing (MEC) server network. This paper investigates the impact of CPU workloads (on both the user and server-side) on overall processing times and energy consumption as well as We provide a comprehensive mathematical model using two applications of varying complexity are tested on a range of cases. Our findings show that the relationship between the CPU workloads on the MD and MEC server and the link speed between them are the crucial parameters that determine the success of offloading in the MEC network. We demonstrate that a certain threshold of link speed is required for shorter completion times by offloading, and the MD CPU workload determines it. Furthermore, MD energy usage can be reduced considerably by offloading for varying complexity applications provided a sufficiently link speed is available to the MEC network.

引用

页码：131 / 136

页数：6

共 15 条

[1]

[Anonymous], 2011, 2011 IEEE 73 VEH TEC

[2]

Carroll M., 2011, 2011 INFORM SECURITY, P1, DOI [DOI 10.1109/ISSA.2011.6027519, 10.1109/ISSA.2011.6027519]

[3] Energy Optimal Partial Computation Offloading Framework for Mobile Devices in Multi-access Edge Computing [J].

Chouhan, Sonali .

2019 27TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2019, :419-424

[4] A Heuristic Algorithm for Multi-Site Computation Offloading in Mobile Cloud Computing [J].

Enzai, Nur Idawati Md ;

Tang, Maolin .

INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE 2016 (ICCS 2016), 2016, 80 :1232-1241

[5]

Guo H., 2018, 2018 IEEE International Conference on Communications ICC, P1

[6] Computation Offloading for Multi-Access Mobile Edge Computing in Ultra-Dense Networks [J].

Guo, Hongzhi ;

Liu, Jiajia ;

Zhang, Jie .

IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (08) :14-19

[7] Computation Offloading Cost Estimation in Mobile Cloud Application Models [J].

Khan, Atta Ur Rehman ;

Othman, Mazliza ;

Khan, Abdul Nasir ;

Shuja, Junaid ;

Mustafa, Saad .

WIRELESS PERSONAL COMMUNICATIONS, 2017, 97 (03) :4897-4920

[8]

Kistowski J. V., 2015, P 6 ACM SPEC INT C P, P223

[9] CLOUD COMPUTING FOR MOBILE USERS: CAN OFFLOADING COMPUTATION SAVE ENERGY? [J].

Kumar, Karthik ;

Lu, Yung-Hsiang .

COMPUTER, 2010, 43 (04) :51-56

[10] Computation Offloading Toward Edge Computing [J].

Lin, Li ;

Liao, Xiaofei ;

Jin, Hai ;

Li, Peng .

PROCEEDINGS OF THE IEEE, 2019, 107 (08) :1584-1607

← 1 2 →