SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Tropea, Mauro; Rango, Floriano De; Nevigato, Nicolas; Bitonti, Luigi; Pupo, Francesco

doi:10.3390/s21113638

Cited by 6 publications

(3 citation statements)

References 47 publications

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“…In this work, we have exploited the virtualization paradigm. 33 The web servers are running Apache 34 listen on port 80 to attend to the end user requests. In this research, the servers and the RYU controller are virtual machines running on VirtualBox, 35 all of them with identical characteristics: 1024 MB of memory, 2 CPU cores, and a CPU execution capability of 100%.…”

Section: Performance Evaluationmentioning

confidence: 99%

Load balancing algorithms in SDN networks with multiple servers

Masaquiza Caiza,

Maigualema Quimbita,

Tropea

2024

Disruptive Technologies in Information Sciences VIII

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In recent years, the interest in Software-Defined Networking (SDN) has been very high. Many applications of traditional networking have been implemented in SDN environments in order to test the performance of the different network devices. In this paper, server load-balancing (LB) based on SDN has been developed and tested to verify the effectiveness of this approach inside the new networking approach. In our implementation, we have used a RYU controller for controlling and managing network devices and two different LB algorithms have been implemented. We have performed an analysis of these two algorithms with a system without load balancing in a server-client system changing the number of servers and clients in order to show the performance of the SDN network.

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Section: Performance Evaluationmentioning

confidence: 99%

Load balancing algorithms in SDN networks with multiple servers

Masaquiza Caiza,

Maigualema Quimbita,

Tropea

2024

Disruptive Technologies in Information Sciences VIII

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“…The controller interfaces with the devices through a southbound interface, with which it sends the information necessary for the correct functioning of the SDN switches and also exports information in the form of API through a northbound interface, thanks to which the level applications superior are able to have an abstract view of the underlying infrastructure and can manipulate its configuration, state and behavior. SDN, thanks to the centralized logic that can locate controller away from the network, enables the use of cloud/edge platforms 4 and then it is candidate to be used in many contexts resolving integration issues in VANET environment, 4,5 IoT applications. 6, 7…”

Section: Software Defined Networking (Sdn)mentioning

confidence: 99%

Routing algorithms emulation on software-defined networking architecture

Rango

Tropea

Hasan

2023

Disruptive Technologies in Information Sciences VII

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Software-Defined Networking paradigm has becoming one of the most studied network concept thanks to its main characteristics: open and programmable. SDN suggests a centralized approach of the network intelligence decoupling the packet forwarding process (Data Plane) from the routing process (Control Plane) in the network devices. Hence the switches only have packet forwarding capability and cannot make any routing decisions, while decision making is done by the controller. OpenFlow is the most popular protocol used to help the switches and the controller to communicate. So, the controller can instruct the forwarding devices through a flow table logic that differs from the traditional destination-based forwarding to a more efficient generalizedbased forwarding. This paper want to present an example of software application that runs on the controller and instructs the network to find the shortest path between each node. An implementation of Dijkstra and Bellman-Ford algorithms on a Ryu SDN controller is presented and a comparison between these two approaches is provided.

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“…Two objective functions addressing energy-efficient offloading and safe path planning are proposed in [ 8 ] as part of a constrained multi-objective optimization problem for UAVs. The authors of [ 9 ] are primarily concerned with path planning under the paradigm of edge computing. In addition, the authors of [ 10 ] present an algorithm for creating a feasible task migration path, taking into account the migration distance between UAVs, the load condition of UAVs, and environmental characteristics.…”

Section: Introductionmentioning

confidence: 99%

Path Planning and Formation Control for UAV-Enabled Mobile Edge Computing Network

Choutri

Lagha

Meshoul

et al. 2022

Sensors

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Recent developments in unmanned aerial vehicles (UAVs) have led to the introduction of a wide variety of innovative applications, especially in the Mobile Edge Computing (MEC) field. UAV swarms are suggested as a promising solution to cope with the issues that may arise when connecting Internet of Things (IoT) applications to a fog platform. We are interested in a crucial aspect of designing a swarm of UAVs in this work, which is the coordination of swarm agents in complicated and unknown environments. Centralized leader–follower formations are one of the most prevalent architectural designs in the literature. In the event of a failed leader, however, the entire mission is canceled. This paper proposes a framework to enable the use of UAVs under different MEC architectures, overcomes the drawbacks of centralized architectures, and improves their overall performance. The most significant contribution of this research is the combination of distributed formation control, online leader election, and collaborative obstacle avoidance. For the initial phase, the optimal path between departure and arrival points is generated, avoiding obstacles and agent collisions. Next, a quaternion-based sliding mode controller is designed for formation control and trajectory tracking. Moreover, in the event of a failed leader, the leader election phase allows agents to select the most qualified leader for the formation. Multiple possible scenarios simulating real-time applications are used to evaluate the framework. The obtained results demonstrate the capability of UAVs to adapt to different MEC architectures under different constraints. Lastly, a comparison is made with existing structures to demonstrate the effectiveness, safety, and durability of the designed framework.

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SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm

Cited by 6 publications

References 47 publications

Load balancing algorithms in SDN networks with multiple servers

Load balancing algorithms in SDN networks with multiple servers

Routing algorithms emulation on software-defined networking architecture

Path Planning and Formation Control for UAV-Enabled Mobile Edge Computing Network

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