Double deep q-learning-based path selection and service placement for latency-sensitive beyond 5g applications
Nowadays, as the need for capacity continues to grow, entirely novel services are emerging.
A solid cloud-network integrated infrastructure is necessary to supply these services in a real …
A solid cloud-network integrated infrastructure is necessary to supply these services in a real …
Bidirectional service function chain embedding for interactive applications in mobile edge networks
Bidirectional service function chain (BSFC) consists of multiple virtual network functions
(VNFs). Through VNF deployment and link mapping, BSFCs can be embedded into …
(VNFs). Through VNF deployment and link mapping, BSFCs can be embedded into …
Approximate Q-learning-based (AQL) network slicing in mobile edge-cloud for delay-sensitive services
M Khani, S Jamali, MK Sohrabi - The Journal of Supercomputing, 2024 - Springer
Abstract Mobile Edge Computing is an innovative network architecture in the 5G era that
aims to provide low-latency services to end users. By utilizing network slicing technology …
aims to provide low-latency services to end users. By utilizing network slicing technology …
Subswarm-guided ant colony optimization with enhanced pheromone update mechanism and beam search for VNF placement and routing
Abstract Network Function Virtualization (NFV) is a novel technology that enables flexible
and cost-effective networks by replacing the hardware-based middleboxes with software run …
and cost-effective networks by replacing the hardware-based middleboxes with software run …
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
Virtual network embedding (VNE) is an essential resource allocation task in network
virtualization, aiming to map virtual network requests (VNRs) onto physical infrastructure …
virtualization, aiming to map virtual network requests (VNRs) onto physical infrastructure …
Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning
H Huang, J Tian, G Min, H Yin, C Zeng… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
Network Function Virtualization (NFV) introduces a new network architecture that offers
different network services flexibly and dynamically in the form of Service Function Chains …
different network services flexibly and dynamically in the form of Service Function Chains …
Efficient Online Scheduling of Service Function Chains Across Multiple Geo-Distributed Regions
Traditional network functions are typically implemented using specialized hardware
appliances, which are expensive and difficult to upgrade. Network Function Virtualization …
appliances, which are expensive and difficult to upgrade. Network Function Virtualization …
Jointly Optimized Placement of Application VM and VNF in NFV Based Data Center
D Qi, R Gu - IEEE Access, 2024 - ieeexplore.ieee.org
In data centers, applications are typically deployed in a distributed manner across servers
via Virtual Machines (VMs). In order to enhance the application security and performance …
via Virtual Machines (VMs). In order to enhance the application security and performance …
Volleyball Training Video Classification Description Using the BiLSTM Fusion Attention Mechanism
Z Ruiye - Heliyon, 2024 - cell.com
This study aims to explore methods for classifying and describing volleyball training videos
using deep learning techniques. By developing an innovative model that integrates Bi …
using deep learning techniques. By developing an innovative model that integrates Bi …
SECaaS-based Partially Observable Defense Model for IIoT Against Advanced Persistent Threats
Z Zhang, C Ding, Y Li, J Yu, J Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the advancement of intelligent and networked technology, the Industrial Internet of
Things (IIoT) faces an escalating threat from cyberattacks, especially by Advanced Persistent …
Things (IIoT) faces an escalating threat from cyberattacks, especially by Advanced Persistent …