This work introduces an emulation framework that allows developers and operators to decide how to deploy networks, computing devices, and applications in a Computing Continuum environment, ensuring compliance with established Quality of Service standards.
Abstract
In recent years, the number of Internet-connected devices has increased notably, leading to a significant rise in data traffic. This increase has been fostered by the Internet of Things paradigm, the use of microservices architectures in application development, and the ability to deploy these applications across various layers in the Computing Continuum (including Fog, Edge, and Cloud layers). Consequently, choosing the right deployment strategy has become essential for network operators and developers, especially in intensive domains such as smart cities. In this work, we introduce an emulation framework that allows developers and operators to decide how to deploy networks, computing devices, and applications in a Computing Continuum environment, ensuring compliance with established Quality of Service standards. This framework supports both IP and SDN network paradigms and is highly adaptable to different scenarios due to its use of container-based virtualization. Furthermore, the SDN paradigm provides flexibility, enabling the implementation of a service discovery feature that simplifies communication between end devices and services. Evaluations conducted in a realistic smart city scenario show that this framework can be extended and applied to a wide range of situations and configurations, meeting the needs of the research community in the Computing Continuum domain.
Efficient and scalable network architectures are essential for enterprise environments that demand reliable and high-performance connectivity. Virtual Extensible LAN (VXLAN) technology enables the encapsulation of Layer 2 traffic over Layer 3 infrastructures, while Software-Defined Networking (SDN) introduces centralized control and programmability by decoupling the control and data planes. This study presents the design and implementation of an enterprise network architecture that integrates SDN and VXLAN technologies to enhance scalability, performance, and security. The PPDIOO lifecycle methodology was adopted as a structured framework for design, deployment, and optimization. The proposed architecture was implemented and validated in a GNS3 emulated environment using OpenDaylight as the SDN controller and Open vSwitch (OVS) as the virtual switching layer. Functional testing, including connectivity verification and packet flow analysis, confirmed correct operation of VXLAN tunneling under SDN control, demonstrating the feasibility and effectiveness of the proposed model. The results highlight that the integration of SDN and VXLAN provides a flexible, programmable, and secure foundation for next-generation enterprise network infrastructures.
Daniel Nuñez-Agurto, Luis Paredes-Alcivar, John Cruz-Garzon et al.· ITEGAM- Journal of Engineeri...· 0 citations
Fifth-generation (5G) networks and the Internet of Things (IoT) demand unprecedented levels of scalability and ultra-low latency. Addressing these needs requires not only advanced radio technologies but also a cohesive integration of diverse architectural standards. In this paper, we present a unified fog computing framework inspired by ETSI and OneM2M technical literature that merges the Open Radio Access Network (O-RAN) architecture, Multi-Access Edge Computing (MEC), and the OneM2M IoT standard. This approach enables real-time resource allocation, reduces end-to-end latency, alleviates network congestion, and streamlines interoperability across heterogeneous deployments. Through a simulated testbed, we demonstrate how MEC and OneM2M elements can use near-RT RIC intel to optimize service delivery. The results highlight the feasibility and potential performance gains of an integrated O-RAN-MEC-OneM2M environment, paving the way for more robust, scalable, and efficient 5G IoT solutions.
Ramon A. S. Carvalho, Fuad M. Abinader, Thiago S. da Silva· International Conference on...· 0 citations
The study concludes that intelligent edge computing architectures will play a vital role in supporting future real-time applications and next-generation 6G-enabled digital ecosystems.
Alan Bundy· International Journal of Mod...· 0 citations
The advent of 6G networks and the rapid growth of Internet of Things (IoT) are revolutionizing the telecommunication sector, integrating edge-cloud systems with vast amounts of data from IoT and AI techniques. These advancements make these systems essential in managing and delivering a multitude of services, offered by smart cities and industrial domains, being just a few among the many possible application scenarios. Specifically, this shift introduces complexities in orchestrating services and managing available resources while addressing challenges such as reducing latency, growing bandwidth, ensuring trust, and integrating different technologies. In this sense, this review explores the recent approaches of the state of the art focused on service orchestration in IoT edge-cloud environments, concentrating on architectures and methodologies that enable resource allocation and service management. Furthermore, it examines platforms for orchestration development, highlighting their characteristics and contributions. Finally, emerging concerns such as network topology and trust, which previous surveys have often overlooked, are discussed together with the most relevant research directions.
: The development of computer networks is a very dynamic process tackling perpetually increased needs and emerging applications. To transition from legacy computer networks with hardware infrastructure to software-based and service-oriented networks, technologies such as Software Defined Network (SDN) and Network Functions Virtualization (NFV) are implemented. SDN and NFV are key technologies for 5G, edge computing and Internet of Things (IoT). Both enable flexibility and lower costs through the virtualization of network functions (e.g. routers, firewalls, gateways, load balancers) on standard hardware, as well as centralized network management through software. New solutions are emerging, with a focus on Artificial Intelligence (AI) integration, network slicing for specific uses, and automation to reduce both complexity and costs. Virtual Network Function (VNF) and Cloud-Native Network Function (CNF) are essential concepts in contemporary digital communications and telecommunication systems. VNF virtualizes network functions, decouples software from hardware, in order to achieve flexibility and uses Network Functions Virtualization - Management and Orchestration (NFV-MANO) framework for orchestration. Virtualized routers, load balancers, directory services, firewalls, wide area network (WAN) optimization, and network address translation (NAT) services are typical VNFs. CNF is an innovative approach to networking, which simplifies and scales networking functions utilizing the cloud. CNFs offer improvements that include lightweight containers for more agility, microservices, faster scaling and efficiency, using cloud-native principles for dynamic orchestration and better resource utilization. The core differences between these two are in routing packets and architecture; VNFs virtualize hardware with Virtual Machines (VMs), whereas CNFs use containers and cloud-native design for modularity and resilience.
D. Kreculj, Đorđe Dihovični, Nada Ratković Kovačević et al.· SINTEZA· 0 citations