SCAREY: Location-Aware Service Lifecycle Management

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 operating costs and over 57% less power consumption and lower CO2 emissions compared to existing related methods.