Development of SNMP‐XML translator and gateway for XML‐based integrated network management

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.

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>

The advanced intelligent network (AIN) infrastructure provides a customer provisioning service creation environment. However, this may create problems in billing, performance, and security management. As ATM technology enhances AIN services, the ATM network management system must co-exist to provide a high quality of service (QoS) to AIN and B-ISDN subscribers. The management of B-ISDN has been difficult due to the ATM characteristics. In this paper we present a design of the integrated network management system for AIN and B-ISDN. The management system provides the integrated operations system. We describe how the telecommunication management network (TMN) can collaborate to provide an integrated network management for the AIN and B-ISDN in the logical architecture layer. The architecture is discussed from the standpoint of the flow of diagnostic information and the role of equipment and personnel.

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.

In order to improve the efficiency and stability of Space-Terrestrial integrated network resource management and control, a multi-element multi-domain network management protocol (MMMP) is proposed. Based on MMMP, Space-Terrestrial integrated network management and control system (STi-NMCS) is designed. By abstracting network management objects, the efficiency of network management is greatly improved. Experiments are carried by comparing the overhead and the success rate of network management between MMMP, simple network management protocol(SNMP) and common management information protocol (CMIP). The results show that by using MMMP rather than SNMP as well as CMIP, the Space-Terrestrial integrated network management system archives high success rate and low management overhead.

The 2nd IEEE Workshop on Autonomic Communications and Network Management (ACNM 2008, http://www.nw.neclab.eu/acnm08) was held in Salvador-Brazil, April 11, 2008 in conjunction with the IEEE/IFIP Network Operations & Management Symposium (NOMS 2008). It followed the success of the previous meeting, ACNM 2007 (http://www.nw.neclab.eu/acnm07), held in Munich together with the IFIP/IEEE International Symposium on Integrated Network Management (IM 2007). The purpose of ACNM 2008 was to present and to discuss new theories, mechanisms, and applications of Autonomic Communication—a new paradigm for forthcoming networks—in the fixed as well as the mobile worlds. The focus of ACNM is on intelligent communication, network control and management paradigms based on smart network and service elements that are capable of automatically configuring and organizing themselves. Autonomic networks will be able to sense their environment to perceive changes, to understand the meaning of these changes, and to react in an intelligent manner

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.

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 problem of managing large computer networks in enterprises is very complex. This requires an integrated network management system that aids the work of the network manager. A distributed network management system is necessary when the network grows to a large size. A distributed network management system using mobile agents can provide greater flexibility, less data transfer and dynamic load distribution. Much of the research in this area is in its infancy, so the available resources are scarce, and mobile agent based network management systems are not readily available. This paper presents a design of IITB_View, a distributed network management system based on SNMP technology and on the concept of mobile agents under a framework of the management-by-delegation model. In order to illustrate the concepts involved, the system has been implemented over a small portion of the IIT Bombay campus network. The implementation uses the publicly available IBM Aglets workbench. Some initial experiments conducted with the implementation indicate that mobile distributed processing of management data does perform better compared to its centralized counterpart. Also, IITB_View adapts quickly through on-line learning using neural network techniques. This experience of ours and results of the research conducted by others lend support to the claim that mobile agents present a technology that will become very useful, and perhaps even critical in many areas of system and network management.

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.

This paper explains the main concepts associated with the definition of an integrated network management environment (INME) using object-oriented network models, and it proposes an extension to the OSI (Open Systems Interconnection) Reference Model by using three different models that are specified in an integrated way. The extended model incorporates the de facto standards used for Internet network management. A basic knowledge of the Internet and OSI-based network management systems is assumed.