RT info:eu-repo/semantics/conferenceObject
T1 Distributed Task Offloading in MEC Networks for Temporary Peaks in Demand
A1 Anzola Rojas, Camilo
A1 Durán Barroso, Ramón José
A1 Miguel Jiménez, Ignacio de
A1 Aguado Manzano, Juan Carlos
A1 Merayo Álvarez, Noemí
A1 Fernández Reguero, Patricia
A1 Lorenzo Toledo, Rubén Mateo
A1 Abril Domingo, Evaristo José
K1 Computer software
K1 MEC Networks
K1 Resource allocation
K1 Computation offloading
K1 Multi Access Edge Computing MEC
K1 Resource optimization
K1 Network operation
AB Multi-Access Edge Computing (MEC) network planning is performed considering a forecast of estimated workload in each coverage zone with the aim of offloading computationally expensive tasks from user's devices to the nearest MEC Data Center (MEC-DC). Nevertheless, in some scenarios, these forecasts are exceeded temporarily due to sudden peaks in demand in a determined MEC-DC, making its planned computing resources (i.e., MEC servers) scarce, and introducing the need of a strategy to face this increment in demand. In this paper, we propose and evaluate an Integer Linear Programming (ILP) model for optimizing the task offloading considering a previously defined MEC network topology. Our model is based on the possibility of offloading some tasks to MEC-DCs different to the initially planned (nearest to the user) one, as long as the latency requirements are met, and the allocated server has enough idle computing power. Results show that the proposed strategy considerably increases the capacity of the network to face sudden workload increments compared to an approach that only assigns the nearest MEC server to every user.
PB IEEE Institute of Electrical and Electronics Engineers
SN 9798350326871
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/76301
UL https://uvadoc.uva.es/handle/10324/76301
LA eng
NO 2023 IEEE Latin-American Conference on Communications (LATINCOM). Panama City, Panama: IEEE Institute of Electrical and Electronics Engineers, 15-17 November 2023, p. 1-5
NO Producción Científica
DS UVaDOC
RD 18-jul-2025