Contention-Aware Microservice Deployment in Collaborative Mobile Edge Networks
Xinlei Ge, Yang Li, Xing Zhang, Yukun Sun, Yunji Zhao

TL;DR
This paper introduces CAMD, a contention-aware deployment algorithm for microservices in mobile edge computing, which optimizes resource allocation to reduce latency and improve QoS.
Contribution
It presents a novel heuristic-based algorithm that decomposes deployment into sub-problems, addressing resource contention in MEC microservice deployment.
Findings
CAMD outperforms baseline algorithms in reducing latency.
The algorithm effectively balances response time and processing efficiency.
Experimental results validate the approach's superiority.
Abstract
As an emerging computing paradigm, mobile edge computing (MEC) provides processing capabilities at the network edge, aiming to reduce latency and improve user experience. Meanwhile, the advancement of containerization technology facilitates the deployment of microservice-based applications via edge node collaboration, ensuring highly efficient service delivery. However, existing research overlooks the resource contention among microservices in MEC. This neglect potentially results in inadequate resources for microservices constituting latency-sensitive applications, leading to increased response time and ultimately compromising quality of service (QoS). To solve this problem, we propose the Contention-Aware Multi-Application Microservice Deployment (CAMD) algorithm for collaborative MEC, balancing rapid response for applications with low-latency requirements and overall processing…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · IoT and Edge/Fog Computing · Green IT and Sustainability
