Quality of service-aware approaches in fog computing

被引:83
作者
Haghi Kashani, Mostafa [1 ]
Rahmani, Amir Masoud [1 ]
Jafari Navimipour, Nima [2 ]
机构
[1] Islamic Azad Univ, Dept Comp Engn, Sci & Res Branch, Tehran 1477893855, Iran
[2] Islamic Azad Univ, Dept Comp Engn, Tabriz Branch, Tabriz, Iran
关键词
cost; fog computing; Internet of Things (IoT); latency; quality of service (QoS); LOAD BALANCING MECHANISMS; CLOUD; IOT; OPTIMIZATION; ENERGY; INTERNET; THINGS; TECHNOLOGIES; FRAMEWORK; EDGE;
D O I
10.1002/dac.4340
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, fog computing, a novel paradigm, has emerged for location and latency-sensitive applications. It is a powerful complement for cloud computing that enables provisioning services and resources outside the cloud near the end devices. In a fog system, the existence of several nonhomogenous devices, which are potentially mobile, led to quality of service (QoS) worries. QoS-aware approaches are presented in various parts of the fog system, and several different QoS factors are taken into account. In spite of the importance of QoS in fog computing, no comprehensive study on QoS-aware approaches exists in fog computing. Hence, this paper reviews the current research used to guarantee QoS in fog computing. This paper investigates the QoS-ensuring techniques that fall into three categories: service/resource management, communication management, and application management (published between 2013 and October 2018). Regarding the selected approaches, this paper represents merits, demerits, tools, evaluation types, and QoS factors. Finally, on the basis of the reviewed studies, we suggest some open issues and challenges which are worth further studying and researching in QoS-aware approaches in fog computing.
引用
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页数:34
相关论文
共 110 条
[1]   Quality of service approaches in cloud computing: A systematic mapping study [J].
Abdelmaboud, Abdelzahir ;
Jawawi, Dayang N. A. ;
Ghani, Imran ;
Elsafi, Abubakar ;
Kitchenham, Barbara .
JOURNAL OF SYSTEMS AND SOFTWARE, 2015, 101 :159-179
[2]   Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].
Al-Fuqaha, Ala ;
Guizani, Mohsen ;
Mohammadi, Mehdi ;
Aledhari, Mohammed ;
Ayyash, Moussa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376
[3]   Latency-Aware Placement Heuristic in Fog Computing Environment [J].
Amira, Rayane Benamer ;
Hana, Teyeb ;
Ben Hadj-Alouane, Nejib .
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS (OTM 2018), PT II, 2018, 11230 :241-257
[4]   Service composition approaches in IoT: A systematic review [J].
Asghari, Parvaneh ;
Rahmani, Amir Masoud ;
Javadi, Hamid Haj Seyyed .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2018, 120 :61-77
[5]  
Assila B, 2018, IEEE MEDITERR ELECT, P213, DOI 10.1109/MELCON.2018.8379096
[6]  
Atashpaz-Gargari E, 2007, IEEE C EVOL COMPUTAT, P4661, DOI 10.1109/cec.2007.4425083
[7]   Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers [J].
Bilal, Kashif ;
Khalid, Osman ;
Erbad, Aiman ;
Khan, Samee U. .
COMPUTER NETWORKS, 2018, 130 :94-120
[8]   Fog computing job scheduling optimization based on bees swarm [J].
Bitam, Salim ;
Zeadally, Sherali ;
Mellouk, Abdelhamid .
ENTERPRISE INFORMATION SYSTEMS, 2018, 12 (04) :373-397
[9]  
Bonomi F., 2012, MCC WORKSH MOB CLOUD, DOI [10.1145/2342509.2342513, DOI 10.1145/2342509.2342513]
[10]   QoS-Aware Deployment of IoT Applications Through the Fog [J].
Brogi, Antonio ;
Forti, Stefano .
IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (05) :1185-1192