TY - JOUR
T1 - Location-aware maintenance strategies for edge computing infrastructures
AU - Souza, Paulo S.
AU - Ferreto, Tiago C.
AU - Rossi, Fábio D.
AU - Calheiros, Rodrigo N.
PY - 2022
Y1 - 2022
N2 - Efficient server maintenance and update is essential to prevent performance and security issues in edge computing environments. Despite many initiatives in maintenance planning, state-of-the-art approaches concentrate on carrying out updates in cloud data centers, ignoring aspects of the problem that are specific to the edge computing paradigm, such as user-location awareness. In this letter, we present two maintenance strategies, called Lamp and Laxus, that consider users' locations when performing migration decisions to avoid delay bottlenecks during edge servers maintenance. Results show that the proposed strategies can reduce maintenance time by 44.27% compared to existing strategies while effectively avoiding delay bottlenecks.
AB - Efficient server maintenance and update is essential to prevent performance and security issues in edge computing environments. Despite many initiatives in maintenance planning, state-of-the-art approaches concentrate on carrying out updates in cloud data centers, ignoring aspects of the problem that are specific to the edge computing paradigm, such as user-location awareness. In this letter, we present two maintenance strategies, called Lamp and Laxus, that consider users' locations when performing migration decisions to avoid delay bottlenecks during edge servers maintenance. Results show that the proposed strategies can reduce maintenance time by 44.27% compared to existing strategies while effectively avoiding delay bottlenecks.
UR - https://hdl.handle.net/1959.7/uws:75419
U2 - 10.1109/LCOMM.2022.3150243
DO - 10.1109/LCOMM.2022.3150243
M3 - Article
SN - 1089-7798
VL - 26
SP - 848
EP - 852
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 4
ER -