Efficient Service Function Chain Placement Over Heterogeneous Devices in Deviceless Edge Computing Environments

Heterogeneous devices in edge computing bring challenges as well as opportunities for edge computing to utilize powerful and heterogeneous hardware for a variety of complex tasks. In this paper, we propose a service function chain placement strategy considering the heterogeneity of devices in deviceless edge computing environments. The service function chain system utilizes lightweight virtualization technologies to manage resources, considering the heterogeneity of devices to support various complex tasks, and offer low latency services to user requests. We propose an optimal service function chain placement problem minimizing the service delay and formulate it into a quasi-convex problem. We implement different edge applications that can be served by function chains and conduct extensive experiments over real heterogeneous edge devices. Results from the experiments and simulations show that our proposed service function chain scheme is applicable in edge environments, and perform well over services latency, resource utilization as well as the power consumption of edge devices.

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Publication Details

Journal
IEEE Transactions on Computers
Published
2024-10-08
DOI
https://doi.org/10.1109/tc.2024.3475590
Citations
5
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.74
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article

Efficient Service Function Chain Placement Over Heterogeneous Devices in Deviceless Edge Computing Environments

Laizhong Cui, Xiaojun Shang, Zelin Lin, Yukun Yuan et al.
5 citations
IEEE Transactions on Computers
IoT and Edge/Fog Computing
1.74
article

Efficient Service Function Chain Placement Over Heterogeneous Devices in Deviceless Edge Computing Environments

Laizhong Cui, Xiaojun Shang, Zelin Lin, Yukun Yuan, Yaodong Huang, Yuanyuan Yang, Tingting Yao
article en
5 citations

Abstract

Heterogeneous devices in edge computing bring challenges as well as opportunities for edge computing to utilize powerful and heterogeneous hardware for a variety of complex tasks. In this paper, we propose a service function chain placement strategy considering the heterogeneity of devices in deviceless edge computing environments. The service function chain system utilizes lightweight virtualization technologies to manage resources, considering the heterogeneity of devices to support various complex tasks, and offer low latency services to user requests. We propose an optimal service function chain placement problem minimizing the service delay and formulate it into a quasi-convex problem. We implement different edge applications that can be served by function chains and conduct extensive experiments over real heterogeneous edge devices. Results from the experiments and simulations show that our proposed service function chain scheme is applicable in edge environments, and perform well over services latency, resource utilization as well as the power consumption of edge devices.

IEEE Transactions on ComputersVol. 74(1)
University of Tennessee at Chattanooga (US), Shenzhen University (CN), The University of Texas at Arlington (US), Stony Brook University (US)
Openalex Percentile: Top 14%
IoT and Edge/Fog Computing
1.74
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Efficient Service Function Chain Placement Over Heterogeneous Devices in Deviceless Edge Computing Environments — Laizhong Cui, Xiaojun Shang, et al. · IEEE Transactions on Computers (2024) | TGRS Research Map | TGRS