Big data applications in operations/supply-chain management: A literature review

R Addo-Tenkorang, PT Helo - Computers & Industrial Engineering, 2016 - Elsevier
Purpose Big data is increasingly becoming a major organizational enterprise force to reckon
with in this global era for all sizes of industries. It is a trending new enterprise system or …

Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

On dynamic service function chain deployment and readjustment

J Liu, W Lu, F Zhou, P Lu, Z Zhu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Network function virtualization (NFV) is a promising technology to decouple the network
functions from dedicated hardware elements, leading to the significant cost reduction in …

The role of digital twin in optical communication: fault management, hardware configuration, and transmission simulation

D Wang, Z Zhang, M Zhang, M Fu, J Li… - IEEE …, 2021 - ieeexplore.ieee.org
Optical communication is developing rapidly in the directions of hardware resource
diversification, transmission system flexibility, and network function virtualization. Its …

Bi-directional gated recurrent unit neural network based nonlinear equalizer for coherent optical communication system

X Liu, Y Wang, X Wang, H Xu, C Li, X Xin - Optics Express, 2021 - opg.optica.org
We propose a bi-directional gated recurrent unit neural network based nonlinear equalizer
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …

DeepRMSA: A deep reinforcement learning framework for routing, modulation and spectrum assignment in elastic optical networks

X Chen, B Li, R Proietti, H Lu, Z Zhu… - Journal of Lightwave …, 2019 - opg.optica.org
This paper proposes DeepRMSA, a deep reinforcement learning framework for routing,
modulation and spectrum assignment (RMSA) in elastic optical networks (EONs) …

Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications

D Jiang, P Zhang, Z Lv, H Song - IEEE Internet of Things …, 2016 - ieeexplore.ieee.org
Many researches show that the power consumption of network devices of ICT is nearly 10%
of total global consumption. While the redundant deployment of network equipment makes …

Sustainable competitive advantage driven by big data analytics and innovation

M Ramadan, H Shuqqo, L Qtaishat, H Asmar, B Salah - Applied Sciences, 2020 - mdpi.com
Big data analytics (BDA) is one of the main pillars of Industry 4.0. It has become a promising
tool for supporting the competitive advantages of firms by enhancing data-driven …

An energy-efficient networking approach in cloud services for IIoT networks

D Jiang, Y Wang, Z Lv, W Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
We study the problem of the energy-efficient networking in cloud services with
geographically distributed data centers for industrial Internet-of-Things (IIoT) networks …

Optimal decision making for big data processing at edge-cloud environment: An SDN perspective

GS Aujla, N Kumar, AY Zomaya… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the evolution of Internet and extensive usage of smart devices for computing and
storage, cloud computing has become popular. It provides seamless services such as e …