5G/6G network slicing is identified as key enabler technology for allowing a diversity of sustainable applications while satisfying user’s requirements. A major problem of the traditional networking technologies is the use of the ”one size fits all” approach that handles all types of services. In this work, we focus on drawing a new architecture born of the need of a multi-level services’ orchestration for seeking flexible intelligent management of the new generation use-cases such as massively deployed cloud and edge-cloud based IoT applications for (i) environment monitoring, (ii) Agriculture development, (iii) and new generation Augmented Reality applications in medicine or e-learning.Thispaperproposesanovelmulti-levelDelegationArchitecture for Network Slicing Orchestration (DANSO). DANSO proposes a multi-level delegation for slices management and optimization framework for resources allocation. Our proposal is based on three pillars: (i) definition of levels to fulfill support of network slicing deployment and management via delegated decisions (ii) split of orchestrator, manager and control roles and (iii) placement-independence of entities in (ii). DANSO has the following advantages. First, it provides an optimization mechanism for the deployment of network slices. second, it takes into consideration a negotiation process for the requested slice. Third, it manages the life-cycle not only for the Virtual Network Function (VNF) level but also for the dynamic deployment and suppression of the whole slices. last, it considers network slicing over several administrative domains.
Software Defined Networking (SDN), Network Function Virtualization (NFV) and Network Slicing technologies present promising solutions to enhance vehicular networks. Using these technologies, a dedicated slice will be deployed whenever a new service is requested. However, in this context, mobility management should be considered in order to support seamless roaming among different network slices. The roaming of users requires inter-slices interactions. In this paper, we propose a network slicing architecture for vehicular network application. We are interested especially in the management process. The challenge is to respect the required Quality of Service (QoS) for users during their movement from one slice to another. For this purpose, we propose an algorithm for the control of users' mobility between different network slices. Mininet emulator and Ryu controller were considered to validate our proposed algorithm.
Flexibility, scalability and programmability are the main goals of future network design. To meet these goals, the network has to ensure a complete management and control of all network resources. For instance, it has to react to the fluctuation of the load and change the assignment of network resources if needed. The key problem is how and when to add and remove resources in order to meet the required Quality of Service (QoS) of users. In this paper, we consider a network based on Software Defined Networking (SDN), Network Function Virtualization (NFV) and Network Slicing technologies. We interest on the management of the deployed network slices. To this end, we propose a Dynamic Handler Framework (DHF) that collects information about slice performances and then determines if the slice resources need to be modified or not. The proposed framework is based on a fuzzy logic algorithm that selects the adequate management decision based on two criteria which are the load ratio and the predicted load-time fairness index. In this paper, a mathematical formulation of our proposal and an evaluation of its efficiency are presented.
Software Defined Networks (SDN), Network Function Virtualization (NFV) and Network Slicing are the key technologies for future network implementation. Their aggregation allows more flexibility for the networks by provisioning network slices according to specific use cases requirements. However, in order to ensure these requirements during all the slice execution time, a management module has to be implemented. In this paper, we present our considered architecture for the management of network slices. We detail especially the network controller components. Moreover, we propose a proactive dynamic approach which forecasts the future workload behavior of network slices. Based on the actual and predicted load state, the management algorithm, which is based on a fuzzy logic system (FLS), will determine the adequate management decision for the deployed slices. Based on real network traces, an evaluation of the efficiency of our algorithm is presented.
Coupling Software Defined Networking (SDN) and Network Function virtualization (NFV) has proved to be a promising paradigm for flexible resource provisioning in future networks. Network slicing is a very recent methodology that can be used in this paradigm for accommodating new services with wide different requirements over the same physical network. In this work, we propose a mathematical formulation of an optimization problem for an end-to-end (E2E) network slices deployment for different 5G-based use-cases. Each use case such as video streaming, intelligent transport, e-Health and public safety, has its own availability, reliability and delay tolerance requirements. Then, in view of the fact that the optimization problem is NP-Hard, a low-cost and efficient heuristic algorithm has been proposed. Last, the efficiency of the proposed algorithm is validated through extensive simulation. Applying our algorithm improves the quality of service (QoS) afforded to the users.
Future networks have to be flexible to satisfy requirements of 5G use cases. Software Defined Networking (SDN), Network Function virtualization (NFV) and Network Slicing technologies have proved to be promising paradigms for new services provisioning. In our work, we propose a new mechanism for the admission control of new users' requests. To this aim, we propose a network orchestrator module which receives new users' requests and then determines if their demands can be served by an existing slice on not. The major aim of our algorithm is the selection of the best target slice for the user request based on several network criteria such as the network resources latency, availability and reliability as well as their computational performances. Thus, according to the proposed algorithm, users' requests will be mapped into the slice that corresponds perfectly to the request. A mathematical formulation of our proposed algorithm and a performance evaluation are presented. We demonstrate that by providing the ideal slice for users' requests, the quality of service afforded to the users will be enhanced.
Coupling Software Defined Networking (SDN) and Network Function virtualization (NFV) has proved to be a promising paradigm for flexible resource provisioning in future networks. Network slicing is a very recent methodology that can be used in this paradigm for accommodating new services with wide different requirements over the same physical network. In this work, we propose a mathematical formulation of an optimization problem for an end-to-end (E2E) network slices deployment for different 5G-based use-cases. Each use case such as video streaming, intelligent transport, e-Health and public safety, has its own availability, reliability and delay tolerance requirements. Then, in view of the fact that the optimization problem is NP-Hard, a low-cost and efficient heuristic algorithm has been proposed. Last, the efficiency of the proposed algorithm is validated through extensive simulation. Applying our algorithm improves the quality of service (QoS) afforded to the users.
In this paper, we propose a vertical handover decision algorithm. This algorithm executes the vertical handover based on several network criteria like the network delay, the available bandwidth, the received signal strength, etc. Fuzzy logic system was used to implement the handover initiation module while utility function was chosen for the network selection module. We compare our proposed algorithm to the RSS-based algorithm and we provide an evaluation of its performances for different type of traffics: VoIP, video and data. The performance criteria adopted are the throughput, the packet loss ratio and the end-to-end delay. Fuzzy logic MATLAB was used for the implementation of the proposed fuzzy module. Simulations were carried out using ns-2.29 simulator with NIST add on module.
