Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey

TL Duc, RG Leiva, P Casari, PO Östberg - ACM Computing Surveys …, 2019 - dl.acm.org
Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

Anomaly detection in cloud computing using knowledge graph embedding and machine learning mechanisms

K Mitropoulou, P Kokkinos, P Soumplis… - Journal of Grid …, 2024 - Springer
The orchestration of cloud computing infrastructures is challenging, considering the number,
heterogeneity and dynamicity of the involved resources, along with the highly distributed …

Toward using reinforcement learning for trigger selection in network slice mobility

RA Addad, DLC Dutra, T Taleb… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Recent 5G trials have demonstrated the usefulness of the Network Slicing concept that
delivers customizable services to new and under-serviced industry sectors. However, user …

AI/ML for beyond 5G systems: Concepts, technology enablers & solutions

T Taleb, C Benzaïd, RA Addad, K Samdanis - Computer Networks, 2023 - Elsevier
Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …

Service migration in mobile edge computing: A deep reinforcement learning approach

H Wang, Y Li, A Zhou, Y Guo… - International Journal of …, 2023 - Wiley Online Library
In mobile edge computing, service migration can not only reduce the access latency but also
reduce the network costs for users. However, due to bandwidth bottleneck, migration costs …

A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers

A Marotta, S Avallone, A Kassler - Computer Networks, 2018 - Elsevier
Cloud computing and virtualization are enabling technologies for designing energy-aware
resource management mechanisms in virtualized data centers. Indeed, one of the main …

Autonomic resource arbitration and service-continuable network function migration along service function chains

T Miyazawa, M Jibiki, VP Kafle… - NOMS 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
Service function (SF) chaining enables network operators and infrastructure providers to
flexibly orchestrate virtualized network functions (NFs) at various places on software defined …

Towards a deeper understanding of link restoration algorithms for mesh networks

SS Lumetta, M Médard - … Annual Joint Conference of the IEEE …, 2001 - ieeexplore.ieee.org
We study the relationship between failure localization and the properties of link restoration
algorithms, employing a quantitative measure of a network's ability to recover from two-link …

DRL-based green resource provisioning for 5G and beyond networks

M Dieye, W Jaafar, H Elbiaze… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Networks play a crucial role in our daily lives by efficiently delivering multimedia services.
However, network operators face the challenge of ensuring efficient resource provisioning …

Self‐adaptive online virtual network migration in network virtualization environments

M Zangiabady, A Garcia‐Robledo… - Transactions on …, 2019 - Wiley Online Library
Abstract In Network Virtualization Environments, the capability of operators to allocate
resources in the Substrate Network (SN) to support Virtual Networks (VNs) in an optimal …