Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing

W Lv, P Yang, T Zheng, C Lin, Z Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Microservice architecture is a design philosophy that achieves decoupling by decomposing
a monolithic application into multiple lightweight microservices. Meanwhile, edge computing …

Microservice deployment in edge computing based on deep Q learning

W Lv, Q Wang, P Yang, Y Ding, B Yi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The microservice deployment strategy is promising in reducing the overall service response
time in the microservice-oriented edge computing platform. However, existing works ignore …

Graph neural network aided deep reinforcement learning for microservice deployment in cooperative edge computing

S Chen, Q Yuan, J Li, H He, S Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deploying microservices on the cooperative edge computing system greatly shortens the
interaction delay between users and service and alleviates the traffic burden on the …

A heuristic services binding algorithm to improve fault-tolerance in microservice based edge computing architecture

C Lei, H Dai - 2020 IEEE World Congress on Services …, 2020 - ieeexplore.ieee.org
In microservice architecture, Mobile Edge Computing (MEC) has been widely developed to
improve Quality of Service (QoS). This distributed technology deploys different microservices …

Towards cost-efficient edge intelligent computing with elastic deployment of container-based microservices

P Zhao, P Wang, X Yang, J Lin - IEEE access, 2020 - ieeexplore.ieee.org
With the tremendous growth of the Internet of Things (IoT), big data, and artificial intelligence
(AI), the edge computing-based service paradigm has been introduced to meet the …

Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach

S Wang, Y Guo, N Zhang, P Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …

Layer-aware collaborative microservice deployment toward maximal edge throughput

L Gu, Z Chen, H Xu, D Zeng, B Li… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Lightweight container-based microservice has been widely advocated to promote the
elasticity of edge cloud. The inherent layered structure of containers offers a compelling way …

Deep reinforcement learning for dependency-aware microservice deployment in edge computing

C Wang, B Jia, H Yu, X Li, X Wang… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Recently, we have observed an explosion in the intellectual capacity of user equipment,
coupled by a meteoric rise in the need for very demanding services and applications. The …

Digital twin-assisted reinforcement learning for resource-aware microservice offloading in edge computing

X Chen, J Cao, Z Liang, Y Sahni… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge
nodes to collaborate and execute microservices from end devices. Microservice offloading, a …

Adaptive resource efficient microservice deployment in cloud-edge continuum

K Fu, W Zhang, Q Chen, D Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …