SCAREY: Location-Aware Service Lifecycle Management
Kurt Horvath, Dragi Kimovski, Radu Prodan

TL;DR
SCAREY is a location-aware framework that manages service lifecycles across Edge, Fog, and Cloud resources, optimizing discovery, placement, and monitoring to improve efficiency and sustainability.
Contribution
It introduces a unified, state machine-based lifecycle management approach that dynamically adapts to demand and optimizes service deployment and placement in the computing continuum.
Findings
73% faster service discovery and acquisition times
45% reduction in operating costs
57% less power consumption and CO2 emissions
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…
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