Online learning for low-latency adaptive streaming

T Karagkioules, R Mekuria, D Griffioen… - Proceedings of the 11th …, 2020 - dl.acm.org
Achieving low-latency is paramount for live streaming scenarios, that are now-days
becoming increasingly popular. In this paper, we propose a novel algorithm for bitrate …

Bayesian online learning for energy-aware resource orchestration in virtualized RANs

JA Ayala-Romero, A Garcia-Saavedra… - … -IEEE Conference on …, 2021 - ieeexplore.ieee.org
Radio Access Network Virtualization (vRAN) will spearhead the quest towards supple radio
stacks that adapt to heterogeneous infrastructure: from energy-constrained platforms …

Lifting the fog of uncertainties: Dynamic resource orchestration for the containerized cloud

Y Zhang, T Zhang, G Zhang, HA Jacobsen - Proceedings of the 2023 …, 2023 - dl.acm.org
The advances in virtualization technologies have sparked a growing transition from virtual
machine (VM)-based to container-based infrastructure for cloud computing. From the …

Orchestrating energy-efficient vRANs: Bayesian learning and experimental results

JA Ayala-Romero, A Garcia-Saavedra… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Virtualized base stations (vBS) can be implemented in diverse commodity platforms and are
expected to bring unprecedented operational flexibility and cost efficiency to the next …

Online network flow optimization for multi-grade service chains

V Valls, G Iosifidis, G De Mel… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
We study the problem of in-network execution of data analytic services using multi-grade
VNF chains. The nodes host VNFs offering different and possibly time-varying gains for each …

Forecasting resource usage pattern changes in clouds via contrast graph-evolution learning

J Li, D Yang, H Guo, X Mo, W Wu - Future Generation Computer Systems, 2024 - Elsevier
The increasing large-scale workload trace collected by datacenter monitors has provided
great potential for workload prediction. However, resource usage pattern changes of …

Learning-based reservation of virtualized network resources

JB Monteil, G Iosifidis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing markets have the potential to increase significantly the utilization of
virtualized network resources and facilitate the low-cost deployment of over-the-top services …

Game-theoretic modeling of DDoS attacks in cloud computing

K Wan, J Coffman - Proceedings of the 14th IEEE/ACM International …, 2021 - dl.acm.org
The benefits of cloud computing have attracted many organizations to migrate their IT
infrastructures into the cloud. In an infrastructure as a service (IaaS) model, the cloud service …

Fast and accurate edge resource scaling for 5G/6G networks with distributed deep neural networks

T Giannakas, T Spyropoulos… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
Network slicing has been proposed as a paradigm for 5G+ networks. The operators slice
physical resources from the edge, all the way to datacenter, and are responsible to …

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints

A Sid-Ali, I Lambadaris, YQ Zhao, G Shaikhet… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we study an optimal online resource reservation problem in a simple
communication network. The network is composed of two compute nodes linked by a local …