Toward the observability of cloud-native applications: The overview of the state-of-the-art

J Kosińska, B Baliś, M Konieczny, M Malawski… - IEEE …, 2023 - ieeexplore.ieee.org
The Cloud-native model, established to enhance the Twelve-Factor patterns, is an approach
to developing and deploying applications according to DevOps concepts, Continuous …

Computing power network: A survey

S Yukun, L Bo, L Juniin, H Haonan, Z Xing… - China …, 2024 - ieeexplore.ieee.org
With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …

High performance delay monitoring for SRv6 based SD-WANs

C Scarpitta, G Sidoretti, A Mayer… - … on Network and …, 2023 - ieeexplore.ieee.org
Software-Defined Wide Area Networks (SD-WANs) are used to provide services to
enterprises with geographically dispersed locations in a flexible and efficient way. We focus …

Delay-aware multipath parallel SFC orchestration

S Wei, J Zhou, S Chen - IEEE Access, 2022 - ieeexplore.ieee.org
With the development of network functions virtualization and software defined networking,
the service function chain (SFC) orchestration issue is a big challenge for high reliability and …

Investigating on black holes in segment routing networks: Identification and detection

M Polverini, A Cianfrani, M Listanti… - … on Network and …, 2022 - ieeexplore.ieee.org
Network Black Holes (BHs) are logical failures that create a service disruption for a subset of
traffic flows, generally due to device misconfiguration. Detection of a BH is a hard task due to …

Programmable service system based on SIDaaS in computing power network

Y Zhang, C Cao, X Tang, R Pang… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Computing Power Networks (CPN) is the next stage of cloud network development. The
emergence of computing power network is to improve the collaborative work efficiency of …

Deploying near-optimal delay-constrained paths with Segment Routing in massive-scale networks

JR Luttringer, T Alfroy, P Mérindol, Q Bramas, F Clad… - Computer Networks, 2022 - Elsevier
With a growing demand for quasi-instantaneous communication services such as real-time
video streaming, cloud gaming, and industry 4.0 applications, multi-constraint Traffic …

[HTML][HTML] FedACT: an adaptive chained training approach for federated learning in computing power networks

M Wei, Q Zhao, B Lei, Y Cai, Y Zhang, X Zhang… - Digital Communications …, 2024 - Elsevier
Federated Learning (FL) is a novel distributed machine learning methodology that
addresses large-scale parallel computing challenges while safeguarding data security …

Self-Adaptive SRv6-INT-Driven System Adjustment in Runtime for Reliable Service Function Chaining

X Yan, NLS da Fonseca, Z Zhu - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
Self-adaptation of service function chains (SFCs) has been considered as an important
attribute to ensure the resource-efficiency and reliability of network function virtualization …

Selective and on-demand network measurement with SRv6 and INT

J Liu, X Shi, Y Huang, Q Yang - Computer Networks, 2023 - Elsevier
Network measurement plays a critical role in network management to provide rich real-time
network state for further network analysis. The novel network measurement approach, In …