Flow optimization strategies in data center networks: A survey

Y Liu, T Yu, Q Meng, Q Liu - Journal of Network and Computer Applications, 2024 - Elsevier
In the era of digitization, Data Center Networks (DCN) have emerged as a critical component
supporting infrastructure for cloud computing, big data analytics, online services, and more …

ML-based pre-deployment SDN performance prediction with neural network boosting regression

W Jiang, H Han, M He, W Gu - Expert Systems with Applications, 2024 - Elsevier
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …

Systematic literature review on application of learning-based approaches in continuous integration

AK Arani, THM Le, M Zahedi, MA Babar - IEEE Access, 2024 - ieeexplore.ieee.org
Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights
in specific phases. The rise of continuous practices in software projects emphasizes …

Fathom: Understanding datacenter application network performance

MA Qureshi, J Yan, Y Cheng, SH Yeganeh… - Proceedings of the …, 2023 - dl.acm.org
We describe our experience with Fathom, a system for identifying the network performance
bottlenecks of any service running in the Google fleet. Fathom passively samples RPCs, the …

AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges

HU Rashid, SH Jeong - Expert Systems with Applications, 2024 - Elsevier
The exponential surge in demand for wireless connectivity has propelled the widespread
deployment of 5G communication networks, catalyzing a transformative paradigm shift in …

gPerfIsol: GNN-based Rate-Limits Allocation for Performance Isolation in Multi-tenant Cloud

B Nougnanke, J Loye, JF Baffier… - … 27th Conference on …, 2024 - ieeexplore.ieee.org
Performance Isolation in Multi-Tenant Cloud Data Centers (MTCDCs) consists of a set of
mechanisms to make sure tenants' use of resources does not impact other tenants. In this …

SDN-based Connectivity Restoration for Partitioned Flying Ad hoc Networks

Y Liu, J **e, X Luo, Y He - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
Due to possible failure of unmanned aerial vehicles (UAVs), a connected flying ad hoc
network (FANET) may be divided into multiple sub-networks. In this case, the FANET …

Optimizing Data Center Network Performance: A Comprehensive Analysis of Speed Testing, Caching, and Network Coding in Software Defined Networking

S Das, J Adamson, A Lee, V Vaideswar… - … on Network and …, 2024 - ieeexplore.ieee.org
This study explores the application of Software Defined Networking (SDN) to optimize data
center network performance by employing a series of innovative techniques tested within a …

Optimizing flow routing using network performance analysis

M Al-Saadi - 2023 - pearl.plymouth.ac.uk
The main task of a network is to hold and transfer data between its nodes. To achieve this
task, the network needs to find the optimal route for data to travel by employing a particular …

基于双模式端址跳变 SD-IoT 主动防御方法

张兵, **辉, 王欢 - 吉林大学学报 (信息科学版), 2024 - xuebao.jlu.edu.cn
由于地址跳变是物联网主动防御的一种有效手段, 但因跳变资源匮乏, 可预见性以及数据包混淆
度低已经成为制约物联网地址跳变的主要问题. 为此, 提出一种基于双模式端址跳变的主动防御 …