RT Journal Article
T1 Analysis of scaling policies for NFV providing 5G/6G reliability levels with fallible servers
A1 Ortin, Jorge
A1 Serrano Yáñez-Mingot, Pablo
A1 García Reinoso, Jaime José
A1 Banchs Roca, Albert
AB The softwarization of mobile networks enables an efficient use of resources, by dynamically scaling and re-assigning them following variations in demand. Given that the activation of additional servers is not immediate, scaling up resources should anticipate traffic demands to prevent service disruption. At the same time, the activation of more servers than strictly necessary results in a waste of resources, and thus should be avoided. Given the stringent reliability requirements of 5G applications (up to 6 nines) and the fallible nature of servers, finding the right trade-off between efficiency and service disruption is particularly critical. In  this paper, we  analyze a generic auto-scaling mechanism for communication services, used to de(activate) servers in a cluster, based on occupation thresholds. We model the impact of the activation delay and the finite lifetime of the servers on performance, in terms of power consumption and failure probability. Based on this model, we derive an algorithm to optimally configure the thresholds. Simulation results confirm the accuracy of the model both under synthetic and realistic traffic patterns as well as the effectiveness of the configuration algorithm. We also provide some insights on the best strategy to support an energy-efficient highly-reliable service: deploying a few powerful and reliable machines versus deploying many machines, but less powerful and reliable.
PB Institute of Electrical and Electronics Engineers (IEEE)
SN 1932-4537
YR 2022
FD 2022-01-28
LK https://hdl.handle.net/10016/35644
UL https://hdl.handle.net/10016/35644
LA eng
NO The work ofJorge Ortin was funded in part by the Spanish Ministry of Science underGrant RTI2018-099063-B-I00, in part by the Gobierno de Aragon throughResearch Group under Grant T31_20R, in part by the European SocialFund (ESF), and in part by Centro Universitario de la Defensa underGrant CUD-2021_11. The work of Pablo Serrano was partly funded bythe European Commission (EC) through the H2020 project Hexa-X (GrantAgreement no. 101015956), and in part by Spanish State Research Agency(TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52/AEI/10.13039/501100011033). The work of Jaime Garcia-Reinoso was partiallysupported by the EC in the framework of H2020-EU.2.1.1. 5G EVE project(Grant agreement no. 815074). The work of Albert Banchs was partiallysupported by the EC in the framework of H2020-EU.2.1.1. 5G-TOURSproject (Grant agreement no. 856950) also partially supported by the SpanishState Research Agency (TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52/AEI/10.13039/501100011033).
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RD 1 sept. 2024