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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 …
supporting infrastructure for cloud computing, big data analytics, online services, and more …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
Systematic literature review on application of learning-based approaches in continuous integration
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 …
in specific phases. The rise of continuous practices in software projects emphasizes …
Fathom: Understanding datacenter application network performance
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 …
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 …
deployment of 5G communication networks, catalyzing a transformative paradigm shift in …
gPerfIsol: GNN-based Rate-Limits Allocation for Performance Isolation in Multi-tenant Cloud
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 …
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 …
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 …
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 …
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 …
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 …