EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds

Resource Dependency and Multi-tenancy in Mobile Edge Clouds (MEC) present major resource orchestration challenges owing to limited and interdependent resources and dynamic deployment environments. Traditional cloud computing solutions are resource-dependency-agnostic, failing to maintain fair resource allocation and achieve high Service Level Objectives (SLOs) rates. In this paper, we present EdgeCore, a Resource Dependency (RD)-aware multi-tenant orchestrator for MEC. EdgeCore includes three integral components: 1) RD Resolver, which resolves the RD problem ignored by prior orchestrators; 2) EdgeDRF establishes multi-resource fairness among multiple tenants in MEC where prior solutions fall short; 3) EdgePilot utilizes the Resource Monitor, Resource Recommender, and Screening Algorithm, to continuously maintain the fair resource allocation across various deployments. EdgeCore is the first resource dependency-aware orchestrator outperforming the state-of-the-art AutoPilot and H-DRF with 20% higher SLO satisfaction rates evaluated in disaster response scenarios. Its lightweight implementation can be generalized to a multitude of MEC environments. EdgeCore code is available at https://github.com/LENSS/EdgeCore-SEC2024.