arXiv subjects

Federico Giarrè

Publications and source records attributed to Federico Giarrè.

3 recordsLinked to original sources

arXiv2026

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

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.

cs.NI↗

arXiv2026

RIPPLE: Lifecycle-aware Embedding of Service Function Chains in Multi-access Edge Computing

In Multi-access Edge Computing networks, services can be deployed on nearby edge clouds (EC) as service function chains (SFCs) to meet strict quality of service (QoS) requirements. As users move, frequent SFC reconfigurations are required, but these are non-trivial: SFCs can serve users only when all required virtual network functions (VNFs) are available, and VNFs undergo time-consuming lifecycle operations before becoming operational. We show that ignoring lifecycle dynamics oversimplifies deployment, jeopardizes QoS, and must be avoided in practical SFC management. To address this, forecasts of user connectivity can be leveraged to proactively deploy VNFs and reconfigure SFCs. But forecasts are inherently imperfect, requiring lifecycle and connectivity uncertainty to be jointly considered. We present RIPPLE, a lifecycle-aware SFC embedding approach to deploy VNFs at the right time and location, reducing service interruptions. We show that RIPPLE closes the gap with solutions that unrealistically assume instantaneous lifecycle, even under realistic lifecycle constraints.

cs.NI↗

arXiv2025

Surfing the SWAVES: Lifecycle-aware Service Placement in MEC

In Multi-access Edge Computing (MEC) networks, users covered by a mobile network can exploit edge clouds (ECs), computational resources located at the network's edge, to execute virtual network functions (VNFs). ECs are particularly useful when deploying VNFs with strict delay and availability requirements. As users roam in the network and get handed over between cells, deployed VNFs must follow users to retain the benefits of edge computing. Yet, having VNFs ready at the closest EC can be challenging: (i) ECs are not usually powerful enough to store and run any combination of VNFs simultaneously; (ii) if a VNF is not available at the needed EC, a series of time-consuming operations has to be performed before the VNF becomes operational. These limitations can be addressed by proactively starting VNFs instances at (likely) future locations, balancing better latency properties against higher resource usage. Such proactive deployment does need forecasting of user movements, but these will be imperfect, creating yet another tradeoff. We present our approach to this service provisioning problem, SWAVES. When compared on the ratio of users' unsuccessful packets, SWAVES improves such metric by orders of magnitude with respect to other proposed heuristic.

cs.NI↗