Paper accepted: SCAREY: Location-Aware Service Lifecycle Management

Authors: Kurt Horvath, Dragi Kimovski, Radu Prodan

Venue: 2025 IEEE International Conference on Edge Computing and Communications (IEEE EDGE 2025), July 7-12 Helsinki, Finland

Abstract: Scheduling services within the computing continuum is complex due to the dynamic interplay of the Edge, Fog, and Cloud resources, each offering distinct computational and networking advantages. This paper introduces SCAREY, a user location-aided service  lifecycle management framework based on state machines. SCAREY addresses critical service discovery, provisioning, placement, and monitoring challenges by providing unified dynamic state machine-based lifecycle management, allowing instances to transition between discoverable and non-discoverable states based on demand. It incorporates a scalable service deployment algorithm to adjust the number of instances and employs network measurements to optimize service placement, ensuring minimal latency and enhancing sustainability. Real-world evaluations demonstrate a 73% improvement in service discovery and acquisition times, 45% cheaper operating costs and over 57% lesser power consumption and lower CO2 emissions compared to existing related methods.