Dear Fatima Aziz,

the most common use of Software-Defined Networks based on Mobile Edge Computing relates to the design of applications to support moving cars:

• Software-Defined Parking Management Systems,
• Software-Defined Autonomous Driving,
• Software-Defined Vehicle/Car(SDV/ C),
• Software-Defined Internet of Vehicles (SD-IoV), ......

See examples of this at the address:

https://www.researchgate.net/publication/344809915_SD-IoT_Software_Defined_Internet_of_Things

There, Figure 9769 illustrates the implementation of SD-IoV and Figure 9771 shows the idea for a Smart City Parking System.

The idea of Digital Twins is of great importance for autonomous driving. For the great future significance of the “Digital Twin of Drives” idea, see my literature sources.

For general information about Digital Twins see:

https://www.researchgate.net/publication/366167747_Digital_Twins_in_IoT

Best Regards

Anatol Badach

Ghanishtha Bhatti, Harshit Mohan, R. Raja Singh:„Towards the future of smart electric vehicles: Digital twin technology“; Renewable and Sustainable Energy Reviews, Vol. 141, May 2021, DOI: 10.1016/j.rser.2021.110801

Sadeq Almeaibed, Saba Al-Rubaye, Antonios Tsourdos, Nicolas P. Avdelidis: Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles; IEEE Communications

Anatol Badach

thanks a lot prof for this information and reference

regards…

Common case studies for Mobile Edge Computing-based Software-Defined Networks include scenarios like real-time video analytics, augmented reality applications, and smart city deployments. These highlight the benefits of offloading computation to edge servers, reducing latency, and enhancing the efficiency of network resources in dynamic mobile environments.

Dr Raghavender K V

thanks alot Dr

Mobile edge computing (MEC) is a cloud computing paradigm that extends cloud computing capabilities to the edge of the network, closer to mobile users and devices. This is particularly beneficial for latency-sensitive applications, such as augmented reality (AR), virtual reality (VR), and mobile gaming. By bringing computing resources closer to users, MEC can significantly reduce latency and improve user experience.

Software-defined networking (SDN) is a networking approach that decouples the control plane from the data plane. This allows for more flexible and centralized network management. SDN can be used to orchestrate and manage MEC resources, making it an ideal technology for building MEC-based networks.

Here are some of the most common case studies for MEC-based SDN:

• Augmented Reality (AR) and Virtual Reality (VR): AR and VR applications are highly latency-sensitive, meaning that any delay in the transmission of data can significantly degrade the user experience. MEC can be used to offload AR and VR rendering tasks to edge servers, which can reduce latency and improve the user experience.
• Mobile Gaming: Mobile gaming is another latency-sensitive application that can benefit from MEC. By offloading game processing tasks to edge servers, MEC can reduce latency and improve the gaming experience.
• Internet of Things (IoT): The IoT is a network of interconnected devices that are generating a massive amount of data. MEC can be used to process and analyze this data in real time, which can enable new applications and services, such as smart cities and autonomous vehicles.
• Content Delivery Networks (CDNs): CDNs are used to distribute content, such as videos and images, to users around the world. MEC can be used to cache content at edge servers, which can reduce latency and improve download speeds.
• Industrial Automation: Industrial automation applications are often latency-sensitive and require high levels of reliability. MEC can be used to provide these applications with the computing resources they need, while also ensuring that they are secure and reliable.

These are just a few examples of the many ways that MEC and SDN can be used to improve network performance and enable new applications and services. As MEC and SDN continue to evolve, we can expect to see even more innovative use cases emerge.

Dear Fatima Aziz,

Mobile Edge Computing (MEC) and Software-Defined Networking (SDN) are two technologies that are increasingly being integrated to enhance the performance and efficiency of mobile networks.

Several common case studies and use cases for Mobile Edge Computing-based Software-Defined Networks (MEC-SDN) include: Content Delivery and Caching: MEC-SDN can be used to optimize content delivery in mobile networks. By deploying MEC servers at the edge of the network, content providers can cache popular content closer to end-users. SDN controllers can dynamically route traffic to the nearest MEC server, reducing latency and improving the quality of experience for users.Network Slicing for Different Applications: MEC-SDN enables the creation of network slices tailored to specific applications or services. For example, network slices can be dedicated to IoT devices, augmented reality applications, or autonomous vehicles. SDN controllers can allocate resources and manage network traffic based on the requirements of each slice.Mobile Gaming: In mobile gaming, low latency is crucial for a seamless gaming experience. MEC-SDN can be used to deploy gaming servers at the network edge, reducing latency and ensuring a responsive gaming environment. SDN can dynamically allocate resources to gaming sessions based on demand.Augmented and Virtual Reality: AR and VR applications require high bandwidth and low latency. MEC-SDN can offload processing tasks to MEC servers at the edge, reducing the load on user devices and providing a more immersive experience. SDN can optimize network paths for AR/VR traffic.Video Streaming Optimization: MEC-SDN can be used to optimize video streaming services. MEC servers can perform transcoding, adaptive streaming, and content pre-fetching, while SDN controllers manage network resources to ensure uninterrupted streaming and reduce buffering.IoT and Industry 4.0: MEC-SDN can support IoT deployments in industries such as manufacturing and logistics. MEC servers can process data from IoT sensors at the edge, while SDN controllers ensure reliable and secure connectivity for IoT devices.Connected Vehicles and Intelligent Transportation: MEC-SDN can enhance vehicle-to-everything (V2X) communication in intelligent transportation systems. MEC servers at the roadside can process traffic data, provide low-latency responses, and enable advanced safety and navigation features for connected vehicles.Healthcare Applications: In telemedicine and remote patient monitoring, MEC-SDN can enable real-time processing of medical data at the edge. SDN can prioritize healthcare traffic and ensure secure communication between healthcare providers and patients.Edge Analytics: MEC-SDN can support edge analytics applications in various domains, including retail, finance, and agriculture. MEC servers can analyze data locally, reducing the need to send large volumes of data to centralized data centers.Emergency Services: MEC-SDN can improve emergency response systems. MEC servers can process emergency calls, analyze location data, and prioritize emergency traffic, ensuring faster response times.

I hope i helped :)