Network Management Challenges and Trends in Multi-Layer and Multi-Vendor Settings for Carrier-Grade Networks

The electric power transmission network management is changing from decentralized to province-centralized mode to adapt to the development trend of power grid. For the current hierarchical management situation of transmission system, the paper mainly studies the centralized mode. Considering the difficulty of transform, security, the demand of bandwidth and augmentability factors, the paper proposes a hierarchical province-centralized mode based on Resource pool and states its architecture, realization methods and deployment mode of Network Manager System in Cloud, realizing the unified management, configuration and data sharing of the whole province. Deploying the network management system in the Clout is taking full use of the resource sharing, efficient management and on-demand resource of the Cloud to realize the intensification, promoting the scheduling intensive management level of Information and transmission. Introduction For a long time, the layered, graded, zoned management mode of electric power communication networks makes the network management system built and maintained by the way of multi-level scheduling mechanism. In order to fulfill the development trend of power grid, power transmission network management should be developed from the provinces and cities separated pattern to the province-centralized mode to realize unified management, unified configuration and sharing of the communication network data within province and achieve the purpose of concentrate and highly active management, reasonable resource-configuration and optimizing the structure of the network resources. Deploying the communication network management centrally is an effective way to enhance the level of intensive management, which, whereas, will cause the load that systems deal with increase sharply. However, Cloud computing technology integrates resources into form Cloud in order to get higher utilization of computing and storage, having a strong computing power and storage capacity. With the development of Cloud construction, deploying communication network management in the pool can improve data reliability and security. This paper puts forward a hierarchical province-centralized mode based on Cloud by researching on concentrated-model of Transmission Network Management, and describes the model in detail. Discussed Problems Power system communication network is the important technology support and infrastructure platform of the grid. As an important guarantee of power grid security, stability and economic running, communication network management system is the important technology means of the communication network management and maintenance. International Power, Electronics and Materials Engineering Conference (IPEMEC 2015) © 2015. The authors Published by Atlantis Press 596 Communication network management system At present, the general transmission network management system is divided into Element Management System(EMS), Subnet Management System(SNMS) and Network Management (NMS) in terms of the management level. EMS is based on the device manager and realizes the management of safety, configuration, performance and alarm for specific equipment; SNMS can divide the network elements into various subnets, not only manage the elements equipments but also the topological relation between them. NMS is a higher level than the SNMS and manage multiple SNMS systems at the same time through network. It configures the router for each business level, and also shows the network elements’ circumstances of each time slot and the business relationships at all levels in details. The relationship of different level network management system is showed as the figure 1.

A generic architecture for management and control of end-to-end quality of service over multiple domains

Several organizations are incorporating the architecture being developed by the Open Systems Interconnection/Network Management Forum into their network management products and systems. It is expected that, as this architecture develops, it will be the basis for multivendor exchange of network management data for the next five to ten years. This architecture and key concepts being developed by the Forum to allow the interoperation of several network management systems using an open interface are summarized. These apply to the full range of networks that must be managed, including computer and communication, local area, wide area international, voice (public and private), and packet data networks. The concepts covered include: Conformant Management Entity (CME), which is a management system that supports the interoperable interface defined by the Forum; managed objects, the abstract representations of the real resources to be managed; and the interoperable interface, which consists of a defined set of protocols (using the OSI seven-layer protocol stack) over which particular messages about managed objects are exchanged.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Computer Network has increased and extended dramatically in size and complexity during the passed years. In a typical computer network, there are many nodes, which different from various manufacturers and device types, distributed in different physical position where network device needed. More complex network architecture more faced difficult in network management and control. As faults are inevitable, fast detection, position, identification, isolation and recovery are key fields in network management. In this paper, based on deeply study of the current Network Management System, GIS technology and multi years network management application development, an new network management model, i.e., GIS based Network Management System, is proposed and implemented. The new model can provide object-oriented network utilities management methods, implement quick network fault position on the electronic geography map, and give new useful tools for network fault management, make the current network more robust and reliable.

The ever evolving telecommunication networks in terms of their technology, infrastructure, and supported services have always posed challenges to the network managers to come up with an efficient Network Management System (NMS) for effective network management. The need for automated and efficient management of the current networks, more specifically the Next Generation Network (NGN), is the subject addressed in this research. A detailed description of the management challenges in the context of current networks is presented and then this work enlists the desired features and characteristics of an efficient NMS. It then proposes that there is a need to apply Artificial Intelligence (AI) and Machine Learning (ML) approaches for enhancing and automating the functions of NMS. The first contribution of this work is a comprehensive survey of the AI and ML approaches applied to the domain of NM. The second contribution of this work is that it presents the reasoning and evidence to support the choice of Bayesian Networks (BN) as a viable solution for ML-based NMS. The final contribution of this work is that it proposes and implements three novel NM solutions based on the BN approach, namely BN-based Admission Control (BNAC), BN-based Distributed Admission Control (BNDAC) and BN-based Intelligent Traffic Engineering (BNITE), along with the description of algorithms underpinning the proposed framework.

Power communication integrated network management system plays a significant role in the planning, design and maintenance of the whole power communication network. This paper analyzes the characteristics of the current power communication network and the corresponding integrated network management system, and improves the design of the existing power communication network integrated network management according to Sdn. This network management system can be used as a supplementary system for the current power system integrated network management function, realizes the global visualization of the power communication network, and provides a strong support for the operation and maintenance of the power communication network. The test running environment is built in the laboratory to realize the mapping of physical route and logical link. The preliminary verification test of the new network management system based on openflow technology is carried out, and the key design methods and ideas of the system are given.

Network Neutrality and Internet Market Fragmentation

To develop a network management system (NMS) more easily, the authors developed an application programming interface (API) for configuring network devices. Because this API is used in a Java development environment, an NMS can be developed by utilizing the API and other commonly available Java libraries. It is thus possible to easily develop an NMS that is highly compatible with other IT systems. And operations that are generated from the API and that are exchanged between the NMS and network devices are based on NETCONF, which is standardized by the Internet Engineering Task Force (IETF) as a next-generation network-configuration protocol. Adopting a standardized technology ensures that the NMS developed by using the API can manage network devices provided from multi-vendors in a unified manner. Furthermore, the configuration items exchanged over NETCONF are specified in an object-oriented design. They are therefore easier to manage than such items in the Management Information Base (MIB), which is defined as data to be managed by the Simple Network Management Protocol (SNMP). We actually developed several NMSs by using the API. Evaluation of these NMSs showed that, in terms of configuration time and development time, the NMS developed by using the API performed as well as NMSs developed by using a command line interface (CLI) and SNMP. The NMS developed by using the API showed feasibility to achieve “autonomic network management” and “high interoperability with IT systems.”

The aviation Internet Protocol (IP) network will be comprised of manned and unmanned aircraft, ground infrastructure, air to ground access network service providers, Air Navigation Service Providers (ANSP), content provider networks, OEM networks, airline and operator networks and devices, and supporting infrastructure (includes PKI, mobility and management etc.). There will be a full range of applications and protocols that will adopt and exploit the aviation IP network. It is key to understand the security and performance characteristics of the aviation IP networks. Many of the applications, services and protocols that could drive deployment of Internet Protocol Suite (IPS) networking in aviation can only be developed if control and management planes of the network will be secure. Yet, to really understand these properties we need studies of the whole aviation IP network's control and management plane interfaces and sub interfaces protection and security, which are difficult to obtain. To date most studies have not been completed in this area, or the analyses have been conducted using unrealistic network mobility models. To address this issue, we present an extensive analysis of an aviation IP network control and management plane's security in the context of mobility generated by both air to ground and ground to ground systems. We combined control plane and management plane data security to address the aviation IP network security issues and explore the security provision mechanisms to protect aviation critical infrastructure. Hence, this analysis and security mechanisms are a more accurate representation of future aviation IP networks, since it reflects the realistic aviation network eco-system. We analyzed the network to identify and characterize the key properties starting from the characteristics of the aircraft movement and dependency on the IP network control and management plane's security framework. We then explored the security issus related to the IPS control and management planes and evaluated how the security issue impact the design space for deployment.

This chapter looks at some of the issues in managing multimedia networks. To manage such multimedia networks, neither the voice network management system, the data network management system, nor the video network management system is adequate. The chapter discusses the network management areas in more detail and presents options involved with managing multimedia networks. In multimedia networks, the Integrated Network Management System (INMS) has to recognize the interdependencies of alarms between various media. In multimedia networks, the role of the end devices becomes more important to the satisfactory connections and services. Customer network management allows the customers access to the INMS with applications to manage their own real or virtual networks. In multimedia networks, performance management also ensures the effective functioning of the various media making up the services. The basic network management techniques and concepts will not change, but the integration of all these techniques and concepts into an INMS will be the theme of the future.

The paper describes an Internet Protocol (IP) version 6 (v6) introduction to an IP version 4 (v4) Internet Service Provider (ISP) network infrastructure. The case study driver is an ISP willing to introduce a new killer service related to Internet of Things (IoT) style building automation. The ISP and cooperation of third party companies specialized in building automation will provide the service. The ISP has to deliver the network access layer and to accommodate the building automation solution traffic throughout its network infrastructure. The third party companies are system integrators and building automation solution vendors. IPv6 is suitable for such solutions due to the following reasons. The operator can't accommodate large number of IPv4 embedded devices in its current network due to the lack of address space and the fact that many of those will need clear 2-way IP communication channel.The Authors propose a strategy for IPv6 introduction into operator infrastructure based on the current network architecture, present service portfolio and several transition mechanisms. The strategy has been tested in laboratory with setup close or identical to the current operator's network. The criteria for a successful experiment is full two-way IPv6 application layer connectivity between the IPv6 server and the IPv6 Internet of Things (IoT) cloud.

With the development of the computer network, and the great change in the demands of network management, any Network Management System is a process of development and perfection. Therefore, designing a rational system structure is the foundation to ensure the good scalability of the system. The main issues and characteristics of Network Management in Campus Network at present were analyzed in the thesis, and the system structure of Network Management in Campus Network were discussed, which includes data collecting layer, centralized-processing layer, network management layer, service management layer. The basic network management system framework of campus network based on Web and its deployment method were also proposed in this paper, which cover the most of the demand for network management. The framework has a good scalability, which lay the foundation for the development of Network Management System in campus network.

A variety of Web-based applications, mobile apps, and other over the top data services with affordable 3G/4G enabled smart devices are major factors for enormous increase in heterogeneous data traffic at enterprise and mobile networks. This creates challenges regarding traffic management and requires traffic-aware intelligent network management to deliver sustained quality of experience for subscribers. Deep packet inspection and analysis (DPIA) provides base platform for development of traffic-aware intelligent network management and security systems. However, computationally complex DPIA-related packet processing for high speed data traffic makes these systems expensive. Furthermore, conventionally these traffic-aware network management and security systems are deployed in enterprise networks with independent and dedicated DPIA-related processing resources and require multiple copies of passively provisioned high speed data from network, while performing similar DPIA operations over the same data again and again. This duplicate deployment of expensive software and hardware resources for DPIA processing eventually results in higher capital expenditures as well as operational expenditures for network operators. We have proposed a novel service-oriented framework for heterogeneous deep packet inspection and analysis (SoDPI) that simultaneously provides diversified DPIA services to multiple client applications for network management and security operations in high-speed networks. Proposed framework provides flexible and comprehensive API-based service interface for client applications to register required DPIA services. SoDPI framework implementation is based on commodity hardware and deploys shared set of DPIA-related packet processing components, requiring only single copy of passive data provisioned from network. Experimental evaluations show that novel SoDPI framework requires considerably reduced amount of software and hardware resources to fulfill heterogeneous DPIA packet processing requirements for multiple client applications in comparison with conventional network management and security applications with dedicated DPIA components. This results in lower cost impacts for network operators with more network manageability.

Tactical battlefield network management presents unique challenges in so far as to (a) provide seamless end-to-end management operations involving inter-administrative domain management and heterogeneous networking technologies, and (b) support terminal and network equipment mobility management with large user population and over a wide geographical area. Furthermore, the volatile and unpredictable nature of these networks can cause the network elements to disappear sporadically, calling for an adaptive configuration management system that can adapt to the dynamics of the underlying network. Additionally, since the battlefield networks span side geographic domains, an efficient and scalable network management system (NMS) is of paramount importance. We propose a scalable NMS using a manager-agency paradigm together with an adaptive configuration management system (ACMS) for the tactical battlefield networks, that addresses each of the above mentioned challenges. We have also developed a proof-of-concept (POC) simulation model to demonstrate the proposed manager-agency-based NMS and ACMS. The ACMS, manager and agencies have been implemented using CORBA. Additionally a directory service system (DSS) that is designed to help the ACMS, is implemented in LDAP.

Network management is challenging. To operate, maintain, and secure a communication network, network operators must grapple with low-level vendor-specific configuration to implement complex high-level network policies. Despite many previous proposals to make networks easier to manage, many solutions to network management problems amount to stop-gap solutions because of the difficulty of changing the underlying infrastructure. The rigidity of the underlying infrastructure presents few possibilities for innovation or improvement, since network devices have generally been closed, proprietary, and vertically integrated. A new paradigm in networking, software defined networking (SDN), advocates separating the data plane and the control plane, making network switches in the data plane simple packet forwarding devices and leaving a logically centralized software program to control the behavior of the entire network. SDN introduces new possibilities for network management and configuration methods. In this article, we identify problems with the current state-of-the-art network configuration and management mechanisms and introduce mechanisms to improve various aspects of network management. We focus on three problems in network management: enabling frequent changes to network conditions and state, providing support for network configuration in a highlevel language, and providing better visibility and control over tasks for performing network diagnosis and troubleshooting. The technologies we describe enable network operators to implement a wide range of network policies in a high-level policy language and easily determine sources of performance problems. In addition to the systems themselves, we describe various prototype deployments in campus and home networks that demonstrate how SDN can improve common network management tasks.