Deep Learning Based Proactive Caching for Effective WSN‐Enabled Vision Applications

Research Subject - integration of software-defined networks (SDN) and network functions virtualization (NFV) technologies in the unmanned aerial vehicle networks. Method – analysis of standards and recommendations in the field of SDN, NFV technologies and construction of UAV networks. Core results – presents the main advantages of introducing SDN and NFV technologies into the UAV networks, two ways of organizing the UAV network architecture with SDN technology support: when the Base Station performs the functions of an SDN controller, and when air baluns are used as SDN controllers. This paper also compared the technologies of software-defined networking and virtualization of network functions. Practical relevance – this paper provides a detailed description of the structure and application possibilities of UAV networks, functional diagrams of SDN and NFV. The network architectures presented in this paper using SDN controllers in the flying (air balloon) and ground (Base stations) segment are examples of the implementation of SDN technology in a UAV network.of SDN and NFV technologies, and also considers the application of these technologies in UAV networks.

The discovery process of OPC Unified Architecture (OPC-UA) is well defined but lacks flexibility when implemented in large networks. While the standard provides concepts for local and global discovery services, the core assumption is that all clients and servers are aware of the discovery server(s) in the network. This dependency is a barrier for Plug-and-Play installations and is overcome by self announces via the multicast Domain Name System (mDNS), however, this scales badly with an increasing number of network nodes and deployed servers. We propose a discovery approach based on Software-Defined Networking (SDN) and Network Function Virtualization (NFV), that installs a plug-and-play mechanism for global OPC-UA discovery in modern virtualized networks.

Software Defined Networking (SDN) and Network Function Virtualization (NFV) are transforming Data Center (DC), Telecom, and enterprise networking. The programmability offered by P4 enables SDN to be more protocol-independent and flexible. Data Centers are increasingly adopting SmartNICs (sNICs) to accelerate packet processing that can be leveraged to support packet processing pipelines and custom Network Functions (NFs). However, there are several challenges in integrating and deploying P4 based SDN control as well as host and sNIC-based programmable NFs. These include configuration and management of the data plane components (Host and sNIC P4 switches) for the SDN control plane and effective utilization of data plane resources. P4NFV addresses these concerns and provides a unified P4 switch abstraction framework to simplify the SDN control plane, reducing management complexities, and leveraging a host-local SDN Agent to improve the overall resource utilization. The SDN agent considers the network-wide, host, and sNIC specific capabilities and constraints. Based on workload and traffic characteristics, P4NFV determines the partitioning of the P4 tables and optimal placement of NFs (P4 actions) to minimize the overall delay and maximize resource utilization. P4NFV uses Mixed Integer Linear Programming (MILP) based optimization formulation and achieves up to 2. 5X increase in system capacity while minimizing the delay experienced by flows. P4NFV considers the number of packet exchanges, flow size, and state dependency to minimize the delay imposed by data transmission over PCI Express interface.

Considering the problem that the SDN controller can not fully resolve the virtual network function during the Software Defined Network (SDN) and Network Function Virtualization (NVF) collaborative deployment in the satellite network, a SDN/NFV coordination based on the three-layer satellite network is designed. The framework extends the SDN controller function and proposes the SDN controller function extension method (SDN-FE) based on LightGBM algorithm. SDN-FE has extended the functions of the original SDN controller in three aspects. One is based on LightGBM to establish a classification model for intelligent forwarding of SDN controller data packets. The second is to learn and predict VNF modification of data packets through logistic regression. The third is to design an idle state monitoring mechanism. The above method effectively enhances the control capability of the SDN controller to the network. In terms of SDN packet forwarding classification, SDN-FE is compared with existing well-known machine learning classification algorithms such as SVM, random forest, LSTM. Simulation experiments show that the SDN packet forwarding classification problem is predictable. The average accuracy of the LightGBM model in multi-classification problems is over 69%, which is better than machine learning models such as SVM and random forest. The next step is to conduct an in-depth study of the packet rule learning algorithm in VNF.

Service Function Chaining (SFC) serves the traffic of a specific service along an ordered set of Service Functions (SFs). SFC uses Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies to reach the deployment and removal of SFC in an appropriate time with minimal costs. However, during the life time of deployed SFCs, the SFs are exposed to the risk of overloading, which results in an end-to-end packets drop and high delay at the application level. This paper presents the concept of a Scalable SFC Orchestrator capable of deploying SF Chains following the ETSI NFV architectural model, as well as orchestrating the runtime phase by rerouting the traffic to a different path in case of overload of certain SF instances. Moreover, a selection algorithm is presented to build the updated paths after scaling. The Scalable Orchestration feature is implemented and added as a main feature to an SFC Orchestrator. Furthermore, it is integrated into a current NFV architecture and evaluated in an NFV environment making use of the Fraunhofer FOKUS Open Baton toolkit in an OpenStack and Open Daylight based environment.

This article describes how novel functionalities will take advantage of the cloud networking and will gradually replace the existing infrastructure of mobile networks with a virtualized one. Two technologies, namely software defined networking (SDN) and network function virtualization (NFV), offer their important benefits and a combination of them is an answer to the demands raised, such as central office re-architected as a data center (CORD). Open network operating system (ONOS) and POX are SDN controllers and offer an option to combine SDN and NFV addressing many ongoing problems in the field of mobile networks. In this paper, technologies and both controllers are compared and contrasted. Indicative cases of topologies are simulated and help evaluating both controllers. According to the experimental findings, ONOS is one of the most important controllers for practical, theoretical, research and educational purposes, while POX is a useful and simpler controller for other educative applications.

It is our great pleasure to welcome you to the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization - SDN-NFV Security'18. SDN-NFV Security'18 offers a unique opportunity by bringing together researchers from academic, industry, as well as government agencies to discuss security challenges faced by two emerging networking paradigms, Software-Defined Networking (SDN) and Network Function Virtualization (NFV). SDN-NFV Security'18 solicits the submission of original unpublished ideas in 6-page long papers and 4-page short papers that address the latest practices, experiences, and lessons learned on SDN and NFV security. The call for papers attracted submissions from Europe and the United States. SDN-NFV Security'18 accepted 3 full papers be presented in this workshop, after a rigorous review process (at least 4 reviews for each paper) and discussion phase. In addition, we have invited 8 papers (5 full papers and 3 short papers) from domain experts to be presented in the workshop.

SDN-based service function chaining mechanism and service prototype implementation in NFV scenario

In this era wireless technology gaining more popularity, people prefer wireless communication over wired communication due to mobility, scalability and ease of access. However, the traditional wireless network is complex, vendor dependent and inadequate feasibility to incorporate new services, protocols, and APIs. The rapid growth in wireless network raises many thoughtful challenges for network and telecom operators. On such grounds, Innovation of Software Defined Network (SDN) and network function virtualization (NFV) for mobile network opens a new arena of research. This research article presents future mobile Internet architecture (FMIA) with the integration of twin technologies, SDN and NFV that enable rapid access to Internet services. Moreover, the network manager can control services provided by ISPs through proposed architecture.

Network modernization using software-defined networks (SDN) technology and network functions virtualization (NFV) involves the use of a unified physical infrastructure, based on which various applications that implement all possible network functions operate. The explosive growth of mobile devices and content, as well as virtualization and the emergence of cloud services, is forcing the network industry to rethink traditional architectures. In networks with SDN architecture, the network industry is actively developing OpenFlow Protocol to provide communication between the control layer (SDN controllers) and data transfer devices (SDN switches). This article offers possibilities for modernization optical networks using various options for implementing SDN/NFV technologies.

Software Defined Network (SDN) and Network Function Virtualization (NFV) are attracting the attention of telecom operators. The telecom environment requires a set of Carrier Grade requirements such as high availability, high throughput and low latency. SDN faces challenges to meet the Carrier Grade. Based on the JAIN SLEE component model and the Libfluid OpenFlow driver, this work proposes the CREDENCE SDN controller. Our evaluation shows that CREDENCE controller offers a higher throughput and a lower latency when is compared to ONOS and OpenDayLight.

Driven by the requirement of increasing performance and flexibility, networks are being softwarized by paradigms such as software-defined networking (SDN) and network function virtualization (NFV). These solutions reduce the complexity and the specialization of hardware devices, by extracting the inherently distributed control plane of forwarding network elements such as switches and routers, to a logically centralized control plane (referred as controller in SDN). The control plane acts as a broker between the network applications (e.g. monitoring, traffic engineering) and the data plane (i.e. physical network infrastructure). For scalability and robustness, the logically centralized control plane is implemented by physically distributing different controllers throughout the network. This chapter presents different solutions to increase the reliability of both planes: data and control planes. The reliability of the data plane can be increased by considering survivable virtual network embedding solutions. This chapter proposes a survivable embedding against single and double failures at either links or nodes. Furthermore, in order to provide a programmable and resilient data plane, BPFabric has been proposed for SDN which supports high performance functions suitable for detecting attacks. On the other hand, the reliability of the control plane applied to SDN can be addressed by considering enhanced controller placement solutions providing redundancy against uncorrelated as well as targeted failures while coping with latency and capacity requirements. Furthermore, a solution to increase the security and robustness of the control channel is also addressed in this chapter.

Network functions virtualization (NFV) offers an alternative way to design, deploy, and manage networking services. This paper presents the implementation and deployment of a virtualized network function to solve MP-TCP’ shared bottlenecks problem. MP-TCP (MultiPath-TCP) is a protocol that allows hosts that have several interfaces to send data through multiple paths in the network. An MP-TCP connection is divided into several TCP connections called subflows that may follow different paths, in this way effective connection rates and resilience can be increased. However, in a scenario where MP-TCP is used with hosts having a single network interface, created subflows follow the same path even if several are available; this generates the problem known as a shared bottleneck. A solution to this problem is implemented as a SDN (Software Defined Networking) module that is integrated into OpenDayLight’s framework which is used as the SDN controller. This solution is then deployed as a NFV over a cloud infrastructure implemented with OpenStack over a high-end physical server. The deployment of the NFV is automated to a certain degree using Ansible, a DevOps tool. Finally, results of the tests of the SDN solution to MP-TCP’s shared bottlenecks and its operation as a NFV using a completely virtualized network are reported.

Various applications in a multi-tenant architecture based cloud computing comprises various requirements and priorities. Severe failure of a critical application may result if the network is congested in a data center. Hence, it is an important to use an efficient resource provisioning technique for ensuring transfer of high priority data to the other traffics still when the network is congested. Therefore, a new framework of Home Cloud architecture is proposed in this paper to provide an effective and flexible delivery of new applications in an edge-cloud architecture which integrates the two complementary technologies of Software-Defined Networking (SDN) and Network Function Virtualization (NFV). In SDN infrastructure, this presents a priority aware resource placement algorithms by taking into consideration of both host and network resources. The Virtual Machines (VMs) of high priority applications are placed at the strongly connected hosts by introducing the priority aware VM allocation (PAVA) algorithm for reducing the possibility of causing network congestion by other tenants. It also guarantees the critical applications for a required bandwidth by means of allocating bandwidth through the setting of priority queues for each network connection within the network of data center handled by SDN controller. The simulation result of the proposed system shows that the combination of proposed approaches will allocate sufficient resources for high-priority applications within a Home Cloud data centre to meet the QoS requirements.

Network functions virtualization (NFV) technology is an emerging networking technology in the telecom industry which provides flexible deployment of network services by reducing the Operating Expenses and Capital Expenses. NFV is an innovative step to virtualize network services that usually run on fixed hardware. With the concept of NFV, services like routing, load balancing, deep packet inspectors and firewalls are packaged as virtual network functions (VNFs) on commodity hardware. NFV helps the service provider to flexibly add that service in the form of a virtual machine (VMs) without upgrading or buying a new hardware on the customer end. This allows a faster deployment of the all the network services with new innovations and helps in increasing great opportunities in the field of telecom-networking. This paper provides an information about NFV technology with its characteristics, enabling technologies, benefits, use cases and challenges. NFV architecture and its comparison with Software Defined Networking (SDN) technology is also presented in this survey paper.