research-article

Microservice-Oriented Service Placement for Mobile Edge Computing in Sustainable Internet of Vehicles

Authors:

Shaohua WanAuthors Info & Claims

IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 9

Pages 10012 - 10026

https://doi.org/10.1109/TITS.2023.3274307

Published: 01 September 2023 Publication History

Abstract

The integration of Mobile Edge Computing (MEC) and microservice architecture drives the implementation of the sustainable Internet of Vehicles (IoV). The microservice architecture enables the decomposition of a service into multiple independent, fine-grained microservices working independently. With MEC, microservices can be placed on Edge Service Providers (ESPs) dynamically, responding quickly and reducing service latency and resource consumption. However, the burgeoning of IoV leads to high computation and resource overheads, making service resource requirements an imminent issue. What’s more, due to the limited computation power of ESPs, they can only host a few services. Therefore, ESPs should judiciously decide which services to host. In this paper, we propose a Microservice-oriented Service Placement (MOSP) mechanism for MEC-enabled IoV to shorten service latency, reduce high resource consumption levels and guarantee long-term sustainability. Specifically, we formulate the service placement as an integer linear programming program, where service placement decisions are collaboratively optimized among ESPs, aiming to address spatial demand coupling, service heterogeneity, and decentralized coordination in MEC systems. MOSP comprises an upper layer to map the service requests to ESPs and a lower layer to adjust the service placement of ESPs. Evaluation results show that the microservice-oriented service deployment mechanism offers dramatic improvements in terms of resource savings, latency reduction, and service speed.

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Cited By

Chen LGuo CGong BWaqas MDeng LQin H(2024)A secure cross-domain authentication scheme based on threshold signature for MECJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00631-x13:1Online publication date: 22-Mar-2024
https://dl.acm.org/doi/10.1186/s13677-024-00631-x
Li CJiang KZhang YJiang LLuo YWan S(2024)Deep Reinforcement Learning-based Mining Task Offloading Scheme for Intelligent Connected Vehicles in UAV-aided MECACM Transactions on Design Automation of Electronic Systems10.1145/365345129:3(1-29)Online publication date: 3-May-2024
https://dl.acm.org/doi/10.1145/3653451
Liu FShi LXu JDing XFan YLi ZKim MKo GSagduyu YShi Y(2024)Cost Minimization for Joint Server and Service Deployment in Edge ComputingProceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning10.1145/3649403.3656487(32-37)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3649403.3656487
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1558-0016 © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 01 September 2023

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Cited By

Chen LGuo CGong BWaqas MDeng LQin H(2024)A secure cross-domain authentication scheme based on threshold signature for MECJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00631-x13:1Online publication date: 22-Mar-2024
https://dl.acm.org/doi/10.1186/s13677-024-00631-x
Li CJiang KZhang YJiang LLuo YWan S(2024)Deep Reinforcement Learning-based Mining Task Offloading Scheme for Intelligent Connected Vehicles in UAV-aided MECACM Transactions on Design Automation of Electronic Systems10.1145/365345129:3(1-29)Online publication date: 3-May-2024
https://dl.acm.org/doi/10.1145/3653451
Liu FShi LXu JDing XFan YLi ZKim MKo GSagduyu YShi Y(2024)Cost Minimization for Joint Server and Service Deployment in Edge ComputingProceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning10.1145/3649403.3656487(32-37)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3649403.3656487
Cheng KZhang SLiu MGu YWei LCheng HLiu KSong YShi XZhu ATang L(2024)GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge CloudsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.336653335:4(646-662)Online publication date: 1-Apr-2024
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Jiang PDeng XWan SQi HZhang S(2024)Confidence-Enhanced Mutual Knowledge for Uncertain SegmentationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330960025:1(725-737)Online publication date: 1-Jan-2024
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Fu TWang LGarg SHossain MYu QHu H(2024)Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecastingInformation Fusion10.1016/j.inffus.2023.102072103:COnline publication date: 1-Mar-2024
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Kaur NBhardwaj V(2024)DD-SPP: Dynamic and Distributed Service Placement Policy for Optimal Scheduling in Fog-Edge ComputingSN Computer Science10.1007/s42979-024-03175-85:7Online publication date: 16-Aug-2024
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Qi HRen FWang LJiang PWan SDeng X(2023)Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End CollaborationACM Transactions on Embedded Computing Systems10.1145/363470423:1(1-25)Online publication date: 28-Nov-2023
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