Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets

被引:0
作者
Yehia Kotb
Ismaeel Al Ridhawi
Moayad Aloqaily
Thar Baker
Yaser Jararweh
Hissam Tawfik
机构
[1] University of Western Ontario,Department of Computer Science
[2] University of Ottawa,School of Electrical Engineering and Computer Science
[3] Gnowit Inc.,undefined
[4] Liverpool John Moores University,undefined
[5] Jordan University of Science and Technology,undefined
[6] Leeds Beckett University,undefined
来源
Journal of Grid Computing | 2019年 / 17卷
关键词
Cloud computing; Fog computing; Petri-net; Workflow-net; Internet of things; Agent cooperation;
D O I
暂无
中图分类号
学科分类号
摘要
Most Internet of Things (IoT)-based service requests require excessive computation which exceeds an IoT device’s capabilities. Cloud-based solutions were introduced to outsource most of the computation to the data center. The integration of multi-agent IoT systems with cloud computing technology makes it possible to provide faster, more efficient and real-time solutions. Multi-agent cooperation for distributed systems such as fog-based cloud computing has gained popularity in contemporary research areas such as service composition and IoT robotic systems. Enhanced cloud computing performance gains and fog site load distribution are direct achievements of such cooperation. In this article, we propose a workflow-net based framework for agent cooperation to enable collaboration among fog computing devices and form a cooperative IoT service delivery system. A cooperation operator is used to find the topology and structure of the resulting cooperative set of fog computing agents. The operator shifts the problem defined as a set of workflow-nets into algebraic representations to provide a mechanism for solving the optimization problem mathematically. IoT device resource and collaboration capabilities are properties which are considered in the selection process of the cooperating IoT agents from different fog computing sites. Experimental results in the form of simulation and implementation show that the cooperation process increases the number of achieved tasks and is performed in a timely manner.
引用
收藏
页码:625 / 650
页数:25
相关论文
共 170 条
[1]  
Gharibi M(2016)Internet of drones IEEE Access 4 1148-1162
[2]  
Boutaba R(2018)Overcoming the loss of performance in unmanned ground vehichles due to the terrain variabilitiy IEEE Access 6 17391-17406
[3]  
Waslander SL(2017)A fuzzy logic trust model for secure routing in smart grid networks IEEE Access 5 17896-17903
[4]  
Prado J(2018)Synergy of big data and 5g wireless networks: opportunities, approches, and challenges IEEE Wirel. Commun. 25 12-18
[5]  
Yandun F(2015)Rapyuta: a cloud robotics platform IEEE Trans. Autom. Sci. Eng. 12 481-493
[6]  
Torriti MT(2019)Enhancing the grid with cloud computing Journal of Grid Computing 17 119-135
[7]  
Cheein FA(2016)Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems IEEE Wirel. Commun. 23 120-128
[8]  
Alnasser A(2016)Edgeiot: mobile edge computing for the internet of things IEEE Commun. Mag. 54 22-29
[9]  
Sun H(2017)Workflow-net based service composition using mobile edge nodes IEEE Access 5 23719-23735
[10]  
Zhang N(2011)Cooperative self-localization of mobile agents IEEE Trans. Aerosp. Electron. Syst. 47 1926-1947