PNap: Lifecycle-aware Edge Multi-state sleep for Energy Efficient MEC

TL;DR

PNap is a lifecycle-aware framework that optimizes energy efficiency in edge computing by intelligently managing server sleep states and service continuity, leveraging traffic forecasting to reduce energy use without compromising service quality.

Contribution

It introduces a novel lifecycle-aware orchestration framework that jointly manages server sleep states and service lifecycle states in MEC environments.

Findings

PNap reduces energy consumption by up to 14.9% compared to state-of-the-art methods.

PNap maintains comparable service availability to existing solutions.

Traffic forecasting enhances the effectiveness of energy management in MEC.

Abstract

Multi-access Edge Computings (MECs) enables low-latency services by executing applications at the network edge. To fulfill low-latency requirements of mobile users, providers have to keep multiple edge servers running at multiple locations, even when, in low-load phases, their capacity is not needed. This significantly increases energy consumption. Multi-state sleep mechanisms mitigate this issue by allowing servers to enter progressively deeper sleep states, trading energy savings for longer wake-up delays. At the same time, service execution depends on non-instantaneous lifecycle operations that cannot be performed while servers are asleep, tightly coupling energy management with service continuity. This paper introduces PowerNap (PNap), a lifecycle-aware orchestration framework that jointly manages server sleep states and service lifecycle states. By leveraging traffic forecasting, PNap jointly minimizes the number of active edge servers and service disruptions. We compare PNap against baselines approaches and a state-of-the-art approach. Results validate PNap, showing how it can reduce energy consumption by up to 14.9% with respect to a state-of-the-art solution while matching its service availability results.