HybOff: a Hybrid Offloading approach to improve load balancing in fog environments

被引:1
作者
Sulimani, Hamza [1 ,2 ]
Sulimani, Rahaf [1 ]
Ramezani, Fahimeh [2 ]
Naderpour, Mohsen [2 ]
Huo, Huan [3 ]
Jan, Tony [4 ]
Prasad, Mukesh [2 ]
机构
[1] Umm Al Qura Univ, Coll Comp, Mecca, Saudi Arabia
[2] Univ Technol Sydney, Australian Artificial Intelligence Inst, Fac Engn & Informat Technol, Sch Comp Sci, Sydney, Australia
[3] Univ Technol Sydney, Fac Engn & Informat Technol, Sch Comp Sci, Sydney, Australia
[4] Torrens Univ, Ctr Artificial Intelligence Res & Optimizat AIRO, Design & Creat Technol, Sydney, Australia
来源
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS | 2024年 / 13卷 / 01期
关键词
Fog computing; Load balancing; Resource management; Offloading; Time-sensitive applications; EDGE; INTERNET; THINGS;
D O I
10.1186/s13677-024-00663-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static offloading (SoA) falls short in heterogeneous networks, necessitating dynamic offloading to reduce latency in time-sensitive tasks. However, prevalent dynamic offloading (PoA) solutions often come with hidden costs that impact sensitive applications, including decision time, networks congested and distance offloading. This paper introduces the Hybrid Offloading (HybOff) algorithm, which substantially enhances load balancing and resource utilization in fog networks, addressing issues in both static and dynamic approaches while leveraging clustering theory. Its goal is to create an uncomplicated low-cost offloading approach that enhances IoT application performance by eliminating the consequences of hidden costs regardless of network size. Experimental results using the iFogSim simulation tool show that HybOff significantly reduces offloading messages, distance, and decision-offloading consequences. It improves load balancing by 97%, surpassing SoA (64%) and PoA (88%). Additionally, it increases system utilization by an average of 50% and enhances system performance 1.6 times and 1.4 times more than SoA and PoA, respectively. In summary, this paper tries to introduce a new offloading approach in load balancing research in fog environments.
引用
收藏
页数:23
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