Network management

About: Network management is a research topic. Over the lifetime, 17859 publications have been published within this topic receiving 234520 citations. The topic is also known as: computer network management & NM.

Public management and policy networks: foundations of a network approach to governance

Abstract: In this article we address the elaboration of the central concepts of a theory of networks and of network management. We suggest that the network approach builds on several theoretical traditions. After this we clarify the theoretical concepts and axioms of the policy network approach and argue that this framework has important explanatory power both on the level of strategic interaction processes as well as on the level of institutional relations. We argue that government's special resources and its unique legitimacy as representative of the common Interest make it the outstanding candidate for fulfilling the role of network manager, a role which means arranging and facilitating interaction processes within networks In such a way that problems of under or non representation are properly addressed and interests are articulated and dealt with in an open, transparent and balanced manner.

Automated traffic classification and application identification using machine learning

Abstract: The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engineering, management and surveillance. Currently such classifications rely on selected packet header fields (e.g. port numbers) or application layer protocol decoding. These methods have a number of shortfalls e.g. many applications can use unpredictable port numbers and protocol decoding requires a high amount of computing resources or is simply infeasible in case protocols are unknown or encrypted. We propose a novel method for traffic classification and application identification using an unsupervised machine learning technique. Flows are automatically classified based on statistical flow characteristics. We evaluate the efficiency of our approach using data from several traffic traces collected at different locations of the Internet. We use feature selection to find an optimal feature set and determine the influence of different features

Method and apparatus for policy-based alarm notification in a distributed network management environment

Abstract: Apparatus and method for receiving alarms from multiple network management servers and applying a plurality of policy-based filters to the alarms. The filters may be named and stored in a database, and application of the policy-based filters may be scheduled for different times. The same policy-based filters may be applied to one or more multiple network management applications. The invention allows greater control over which alarms get reported to network management applications and provides a means to ensure consistency of reported alarms across multiple network management applications.

Bayesian Neural Networks for Internet Traffic Classification

Abstract: Internet traffic identification is an important tool for network management. It allows operators to better predict future traffic matrices and demands, security personnel to detect anomalous behavior, and researchers to develop more realistic traffic models. We present here a traffic classifier that can achieve a high accuracy across a range of application types without any source or destination host-address or port information. We use supervised machine learning based on a Bayesian trained neural network. Though our technique uses training data with categories derived from packet content, training and testing were done using features derived from packet streams consisting of one or more packet headers. By providing classification without access to the contents of packets, our technique offers wider application than methods that require full packet/payloads for classification. This is a powerful advantage, using samples of classified traffic to permit the categorization of traffic based only upon commonly available information