Performance Modelling and Optimization in Future Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 342
Special Issue Editors
Interests: mobile edge computing; software-defined networking; network function virtualization; AI/ML-driven resource optimization; performance modeling and analysis
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; visualisation; data science; artificial intelligence; hydroinformatics
Interests: prediction and control of video quality using AI, ML, cloud computing, fuzzy logic, applying computer vision techniques, and deep learning in pedestrian recognition; disease identification in cotton crops and damage recognition in wind turbines
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The proliferation of the skyrocketing number and types of mobile and IoT devices, coupled with large volumes of network traffic data (e.g., audio, picture, and video) which these devices generate, have brought great challenges to the traditional network systems to support emerging applications and services. This include areas as autonmous driving, virtual reality, remote surgury, and so on. To address these challenges issue, a series of novel technologies, such as software-defined networking (SDN), network function virtualisation (NFV), information-centric networking (ICN), artifical intelligence, cloud/edge/device computing and blockchain, have been proposed or exploited to revolutionise the operation of network systems towards being more intelligent, autonmous, reliable and sustanable. These evolutions will bring a series of benefits to future networks, such as reduced captial expenditure and operational expenditure for network management, shortened lifecycle of network innovation required to deploy new services, as well asmore agile and flexible network service provisioning. However, the transformation of network intelligence, softerisation, virtualisation and cloudification is also married with the new challenge of how to efficiently plan, control and orchestrate network resources in large-scale, dynamic and complex operation environments, where multiple potential conflicted Quality-of-Service (QoS) requirements, such as latency, throughput, realibility, avaliability and energy efficiency, should be simutaneously met. In this regard, this Special Issue focuses on the advances of the QoS modelling and resource optimisation in future networks. We aim to provide a platform for researchers from academia and industry to present their novel and unpublished work in the domain of future network resource management and optimisation. The research areas of this Special Issue include, but not limited to:
- Software-defined metworking
- Network function virtalisation
- Information-centric networks
- Intent-based networking
- Cloud/Edge/Device computing systems
- Internet of everything
- Unmanned aerial vehicle networks
- Wireless sensor networks
- Distributed ledger systems
- 5G/6G network and communication systems
- Machine learning and artifical intelligence-empowered network optimisation.
Dr. Wang Miao
Dr. David Walker
Dr. Asiya Khan
Guest Editors
Manuscript Submission Information
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Keywords
- performance evaluation
- QoS modelling
- service level agreement
- future networks
- ML/AI
- resource management and optimisation
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