Download or read book A QoS aware Routing in SDN Hybrid Networks written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Satellite Network Robust QoS aware Routing written by Fei Long and published by Springer. This book was released on 2014-04-28 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Satellite Network Robust QoS-aware Routing presents a novel routing strategy for satellite networks. This strategy is useful for the design of multi-layered satellite networks as it can greatly reduce the number of time slots in one system cycle. The traffic prediction and engineering approaches make the system robust so that the traffic spikes can be handled effectively. The multi-QoS optimization routing algorithm can satisfy various potential user requirements. Clear and sufficient illustrations are also presented in the book. As the chapters cover the above topics independently, readers from different research backgrounds in constellation design, multi-QoS routing, and traffic engineering can benefit from the book. Fei Long is a senior engineer at Beijing R&D Center of 54th Research Institute of China Electronics Technology Group Corporation.

Download or read book A QoS aware Routing Algorithm for SDN based Data Center Networks written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A QoS aware Routing Framework for Mobile Ad Hoc Networks written by Dmitri D. Perkins and published by . This book was released on 2002 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Virtualization enabled Adaptive Routing for QoS aware Software Defined Networks written by Alba Xifra Porxas and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: [ANGLÈS] Software-Defined Networking (SDN) has been recognized as the next-generation networking paradigm. It is a fast-evolving technology that decouples the network data plane, which are the network devices that forward traffic, from the network control plane, which is the software logic that controls ultimately how traffic is forwarded through the network. A logically centralized controller is responsible for all the control decisions and communication among the forwarding elements. It allows to control the network behavior from a single high level control program. However, Software-Defined Networks use many of its network resources inefficiently, which leads to over-loading network links, congestion in the queues and end-to-end packet delays. Consequently, it becomes clear that routing decisions affect the overall performance of a communication's network. Performance is determined in terms of Quality of Service guarantees, i.e. throughput, average packet delay, jitter and losses. Thus, a QoS-aware routing algorithm is required. Current traffic engineering techniques and state-of-the-art routing algorithms do not effectively use the merits of SDNs, such as global centralized visibility, real-time fast decisions, control and data plane decoupling, network management simplification and portability. In this thesis, we developed two new QoS-aware routing algorithms that exploit the advantages that SDN brings to improve the network performance. Two different scenarios have been studied: a centralized and a distributed models. The centralized scenario simplifies the management of complex flows and the customization, but scalability issues arise. In contrast, the distributed scenario is more scalable, but there may be state inconsistency and increase of shared information. In general, a centralized approach is better for data centers or home networks, whereas a distributed approach is better for large scale networks, e.g. cloud environments. First, the centralized SDN controller model is discussed, for which a multi-tenancy management framework is proposed to fulfill the quality-of-services (QoSs) requirements through tenant isolation, prioritization and flow allocation. A network virtualization algorithm is provided to isolate and prioritize tenants from different clients. Furthermore, a novel routing scheme, called QoS-aware Virtualization-enabled Routing (QVR), is presented. It combines the proposed virtualization technique and a QoS-aware framework to enable flow allocation with respect to different tenant applications. Simulation results confirm that the proposed QVR algorithm surpasses the conventional algorithms with less traffic congestion and packet delay. This facilitates reliable and efficient data transportation in generalized SDNs. Therefore, it yields to service performance improvement for numerous applications and enhancement of client isolation. Second, a distributed SDN controller model is analyzed. The network is divided into different clusters, and hierarchically split in two levels. This architecture leads to smaller sizes of routing tables in the switches, and substantially lesser calculations and updates of routing tables from the controller. Moreover, a new algorithm is developed, called QoS-aware Reinforcement Learning Routing (QRLR), where reinforcement learning is applied to the routing problem. The modeling of the reward function calculation solution allows the customization of the different requirements for each type of traffic, thus providing flexibility and adaptability to different flows and its requirements.

Download or read book Data Centric Security in Software Defined Networks SDN written by Marek Amanowicz and published by Springer Nature. This book was released on with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on 2023-09-12 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023. The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.

Download or read book Software Defined Networks written by Anand Nayyar and published by John Wiley & Sons. This book was released on 2022-06-21 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOFTWARE DEFINED NETWORKS Software defined networking suggests an alternative worldview, one that comes with a new software stack to which this book is organized, with the goal of presenting a top-to-bottom tour of SDN without leaving any significant gaps that the reader might suspect can only be filled with magic or proprietary code. Software defined networking (SDN) is an architecture designed to make a network more flexible and easier to manage. SDN has been widely adopted across data centers, WANs, and access networks and serves as a foundational element of a comprehensive intent-based networking (IBN) architecture. Although SDN has so far been limited to automated provisioning and configuration, IBN now adds “translation” and “assurance” so that the complete network cycle can be automated, continuously aligning the network to business needs. In 14 chapters, this book provides a comprehensive understanding of an SDN-based network as a scalable distributed system running on commodity hardware. The reader will have a one-stop reference looking into the applications, architectures, functionalities, virtualization, security, and privacy challenges connected to SDN. Audience Researchers in software, IT, and electronic engineering as well as industry engineers and technologists working in areas such as network virtualization, Python network programming, CISCO ACI, software defined network, and cloud computing.

Download or read book QoS aware Routing in Future All IP Access Networks written by Alexandre Jaron and published by . This book was released on 2015 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this research is to propose a novel QoS mechanism for mobile networks. The new scheme is composed of two different approaches accountable for QoS provisioning in next-generation access networks. Firstly, a new method is proposed that minimises the signalling overhead, as well as the interruption in QoS at the time of handover. Through a developed analytical framework and simulation scenario, the performance of the new scheme is investigated thoroughly, with the focus on the figures of merit that affect the efficiency of using QoS signalling protocols in access networks. Secondly, a new QoS-aware routing mechanism is proposed, based on the OSPF protocol, intending to minimise the congestion on the links while at the same time complying with traffic requirements. OSPF was created for providing flexibility and great scalability, and although widely used today, does not allow arbitrary splitting of traffic.

Download or read book Energy and QoS Aware Routing Protocols for Wireless Sensor Networks written by Kemal Akkaya and published by . This book was released on 2005 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Internet and Distributed Computing Systems written by Raffaele Montella and published by Springer Nature. This book was released on 2019-11-09 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Internet and Distributed Systems held in Naples, Italy, in October 2019. The 47 revised full papers presented were carefully reviewed and selected from 145 submissions. This conference desires to look for inspiration in diverse areas (e.g. infrastructure & system design, software development, big data, control theory, artificial intelligence, IoT, self-adaptation, emerging models, paradigms, applications and technologies related to Internet-based distributed systems) to develop new ways to design and manage such complex and adaptive computation resources.

Download or read book Secure Edge Computing written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2021-08-12 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

Download or read book A QoS aware Framework for Traffic Classificationin Software defined Networks written by Josep Xavier Salvat Lozano and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: [ANGLÈS] How can we build a system for traffic classification so that different QoS levels can be identified? How can we analyse different network parameters and identify a specific QoS for every flow? The purp ose of this work is to build a system capable of classifying traffic according to flows' different QoS requirements. Next, classification results are going to b e used to improve the state-of-the-art traffic engineering techniques in SDN networks. As in SDN networks ele- ments are programmable from the controller, different QoS paths can b e implemented so that different traffic flows can see diferent QoS. This traffic classification system go es b eyond the classical state-of-the-art classification into mice/elephant flows. We want to identify different priority classes so that higher priority classes are able to access to more network resources. We seek improving the overall network p erformance. The approach for tackling this problem would be somehow equal to the approach used for building a new machine learning system. We are going to define a set of variables, measure them, and classify traffic according to the values of that variables into different classes. We will start defining a measurement layer for SDN. To classify trafic we first need to observe what prop erties is exhibiting a traffic flow. This first layer will enables us to measure different flow prop erties as well as p erforming other management tasks. We are going to define a layer so that we could gather flow information with minimal network over-head. This system will b e implemented distributely in the switches and will leverage flow tables switches to improve its functionalities. Second we are going to use the information captured to calculate various flow statistical fingerprints so that we can infer their network resources requirements. We will target only QoS signifficant flows. We are going to develop a machine learning algorithm in the scop e of semi-sup ervised learning that would learn form lab elled and unlab elled data to infer the most likely QoS. In particular, we are going to apply a machine learning algorithm known as Laplacian SVM to classify various network traffic flows into different QoS classes. Finally, we will prototyp e this algorithm and try it in a real world data set.

Download or read book Artificial Intelligence and Machine Learning for EDGE Computing written by Rajiv Pandey and published by Academic Press. This book was released on 2022-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

Download or read book Safe QoS Aware Deep Reinforcement Learning Based Intelligent Routing for Software Defined Networks written by 吳祥勛 and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book QoS Aware Virtual Network Embedding written by Chunxiao Jiang and published by Springer Nature. This book was released on 2022-01-01 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important future network architecture, virtual network architecture has received extensive attention. Virtual network embedding (VNE) is one of the core services of network virtualization (NV). It provides solutions for various network applications from the perspective of virtual network resource allocation. The Internet aims to provide global users with comprehensive coverage. The network function requests of hundreds of millions of end users have brought great pressure to the underlying network architecture. VNE algorithm can provide effective support for the reasonable and efficient allocation of network resources, so as to alleviate the pressure off the Internet. At present, a distinctive feature of the Internet environment is that the quality of service (QoS) requirements of users are differentiated. Different regions, different times, and different users have different network function requirements. Therefore, network resources need to be reasonably allocated according to users' QoS requirements to avoid the waste of network resources. In this book, based on the analysis of the principle of VNE algorithm, we provide a VNE scheme for users with differentiated QoS requirements. We summarize the common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance, and then introduce the specific implementation methods of various differentiated QoS algorithms. This book provides a variety of VNE solutions, including VNE algorithms for single physical domain, VNE algorithms for across multiple physical domains, VNE algorithms based on heuristic method, and VNE algorithms based on machine learning method.

Download or read book QoS Based and Secure Multipath Routing in Wireless Sensor Networks written by hind Alwan and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: