A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Edge Computing Environment

被引：4

作者：

Grave Gross, Joao Luiz ^{[1
]}

Matteussi, Kassiano Jose ^{[1
]}

dos Anjos, Julio C. S. ^{[1
]}

Resin Geyer, Claudio Fernando ^{[1
]}

机构：

[1] Univ Fed Rio Grande do Sul, Inst Informat, BR-91509900 Porto Alegre, RS, Brazil

来源：

SERVICE-ORIENTED COMPUTING (ICSOC 2020) | 2020年 / 12571卷

关键词：

Mobile Edge Computing; Internet of Things; Cost minimization model; Energy consumption; Scheduling algorithm;

D O I：

10.1007/978-3-030-65310-1_8

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The rapid growth of IoT devices and applications with data-intensive processing has led to energy consumption and latency concerns. These applications tend to offload task processing to remote Data Centers in the Cloud, distant from end-users, increasing communication latency and energy costs. In such a context, this work proposes a dynamic cost model to minimize energy consumption and total elapsed time for IoT devices in Mobile Edge Computing environments. The solution presents a Time and Energy Minimization Scheduler (TEMS) that executes the cost model, validated through simulation, which resulted in a reduction in energy consumption by up to 51.61% and in task completion time by up to 86.65%.

引用

页码：101 / 109

页数：9

共 11 条

[1]

Aijaz Adnan, 2016, 2016 IEEE Wireless Communications and Networking Conference: Workshops (WCNCW), P145, DOI 10.1109/WCNCW.2016.7552690

[2] Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices [J].

Chen, Tiffany Yu-Han ;

Ravindranath, Lenin ;

Deng, Shuo ;

Bahl, Paramvir ;

Balakrishnan, Hari .

SENSYS'15: PROCEEDINGS OF THE 13TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, 2015, :155-168

[3] A Survey of 5G Network: Architecture and Emerging Technologies [J].

Gupta, Akhil ;

Jha, Rakesh Kumar .

IEEE ACCESS, 2015, 3 :1206-1232

[4]

Haouari F, 2018, 2018 INTERNATIONAL CONFERENCE ON COMPUTER AND APPLICATIONS (ICCA), P399, DOI 10.1109/COMAPP.2018.8460182

[5]

Jansson J., 2005, Collision avoidance theory: With application to automotive collision mitigation

[6]

Liu YP, 2007, ISQED 2007: PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, P204

[7] Analysis and Performance Evaluation of Deep Learning on Big Data [J].

Matteussi, Kassiano J. ;

Zanchetta, Breno F. ;

Bertoncello, Germano ;

Dos Santos, Jobe D. D. ;

Dos Anjos, Julio C. S. ;

Geyer, Claudio F. R. .

2019 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2019, :682-687

[8] Understanding and Minimizing Disk Contention Effects for Data-Intensive Processing in Virtualized Systems [J].

Matteussi, Kassiano J. ;

Resin Geyer, Claudio Fernando ;

Xavier, Miguel G. ;

De Rose, Cesar A. F. .

PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS), 2018, :901-908

[9] Energy Efficient Scheduling in IoT Networks [J].

Sarangi, Smruti R. ;

Goel, Sakshi ;

Singh, Bhumika .

33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, 2018, :733-740

[10]

Wang C, 2018, IEEE SYMP COMP COMMU, P371

← 1 2 →