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

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.

Automated summary

The integration of Mobile Edge Computing (MEC) and microservice architecture enables the implementation of sustainable Internet of Vehicles (IoV). With MEC, microservices can be dynamically placed on Edge Service Providers (ESPs) to reduce latency and resource consumption. However, the growth of IoV leads to high computation and resource overheads, calling for judicious service placement. In this paper, we propose a Microservice-oriented Service Placement (MOSP) mechanism to address these issues and achieve improved resource savings, latency reduction, and service speed.