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
收藏
页码:101 / 109
页数:9
相关论文
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