A Proposed "OSI Based" Network Troubles Identification Model

SRI International, 1996

Traditionally, network management activities, such as fault management, have been performed with direct human involvement. However, these activities are becoming more demanding and data intensive, due to the heterogeneous nature and increasing size of networks today. ...

2012

Faults in a network have various causes,such as the failure of one or more routers, fiber-cuts, failure of physical elements at the optical layer, or extraneous causes like power outages. These faults are usually detected as failures of a set of dependent logical entities and the links affected by the failed components. A reliable control plane plays a crucial role in creating high-level services in the next-generation transport network based on the Generalized Multiprotocol Label Switching (GMPLS) or Automatically Switched Optical Networks (ASON) model. In this paper, approaches to control-plane survivability, based on protection and restoration mechanisms, are examined. Procedures for the control plane state recovery are also discussed, including link and node failure recovery and the concepts of monitoring paths (MPs) and monitoring cycles (MCs) for unique localization of shared risk linked group (SRLG) failures in all-optical networks. An SRLG failure is a failure of multiple links due to a failure of a common resource. MCs (MPs) start and end at same (distinct) monitoring location(s). They are constructed such that any SRLG failure results in the failure of a unique combination of paths and cycles. We derive necessary and sufficient conditions on the set of MCs and MPs needed for localizing an SRLG failure in an arbitrary graph. Procedure of Protection and Restoration of the SRLG failure by backup re-provisioning algorithm have also been discussed.

1999

Abstract The lack of specialized professionals in network management and the growing complexity of this task has been aiming the need for developing tools to give support to the network administrator task. The construction of such tools requires an intense process of knowledge acquisition from experts in the area as well as the use of Artificial Intelligence (AI) techniques.

Network, 2011

Handling multiple sets of network trouble tickets (TTs) originating from different participants' interconnected network environments poses a series of challenges for the involved institutions. A Grid is a good example of such a multi-domain project. Each of the participants follows different procedures for handling trouble in its domain, according to the local technical and linguistic profile. The TT systems of the participants collect, represent, and disseminate TT information in different formats. RFC 6137 NTTDM February 2011 Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at http://www.rfc-editor.org/info/rfc6137.

International Journal of Network Management, 1998

As computer networks expand, there is a pressing need for management systems capable of handling errors. This article proposes an approach based on management proxies to improve the dependability of fault management systems. An effective MIB to implement the proxies is presented, which allows their deployment at virtually no cost. As an example, a case study of a WAN is carried out.

2012

Faults in a network have various causes,such as the failure of one or more routers, fiber-cuts, failure of physical elements at the optical layer, or extraneous causes like power outages. These faults are usually detected as failures of a set of dependent logical entities and the links affected by the failed components. A reliable control plane plays a crucial role in creating high-level services in the next-generation transport network based on the Generalized Multiprotocol Label Switching (GMPLS) or Automatically Switched Optical Networks (ASON) model. In this paper, approaches to control-plane survivability, based on protection and restoration mechanisms, are examined. Procedures for the control plane state recovery are also discussed, including link and node failure recovery and the concepts of monitoring paths (MPs) and monitoring cycles (MCs) for unique localization of shared risk linked group (SRLG) failures in all-optical networks. An SRLG failure is a failure of multiple links due to a failure of a common resource. MCs (MPs) start and end at same (distinct) monitoring location(s). They are constructed such that any SRLG failure results in the failure of a unique combination of paths and cycles. We derive necessary and sufficient conditions on the set of MCs and MPs needed for localizing an SRLG failure in an arbitrary graph. Procedure of Protection and Restoration of the SRLG failure by backup re-provisioning algorithm have also been discussed.

1999

The detection of network fault scenarios wasachieved using an appropriate subset of ManagementInformation Base (MIB) variables. Anomalous changes inthe behavior of the MIB variables was detected using a sequential Generalized Likelihood Ratio (GLR) test. This information was then temporally correlatedusing a duration filter to provide node level alarmswhich correlated with observed network faults and performance problems. The algorithm wasimplemented on data obtained from two different networknodes.

In today's world where information is knowledge and time is money, faster flow of information is the basic need of every organization. Hence, downtime of network can be a serious threat to win crucial competitions. Apparently most of the computer users are "layman" when it comes to troubleshooting and diagnosing network related problems. This situation requires the need of an expert system or network engineer to solve the respected issue and get the work back on track. However a faster and cost-effective solution can be deployment of an expert system for the same. This will not only omit the need of professional individual but will also enable PC users to handle these small yet significant issues on their own. Implementation of this expert system will reduce the downtime of a person and improve his/ her efficiency resulting in better production and increased turnover of the organization. On the other hand, this expert system may also be used by PC users and home or sma...

1996

The ever increasing complexity of network management demands tools to aid human operators to perform their tasks. Many expert systems have been developed to perform automatically fault correlation and diagnosis in telecommunications networks, but most of them are monolithic systems, oriented to a specific domain of application, and only a few are in accordance with present ISO standards for OSI

2001

In this paper, we present a framework for supporting intelligent fault and performance management for communication networks. Belief networks are taken as the basis for knowledge representation and inference under evidence. When using belief networks for diagnosis, we identify two questions: When can I say that I get the right diagnosis and stop? If right diagnosis has not been obtained yet, which test should I choose next? For the first question, we define the notion of right diagnosis via the introduction of intervention networks. For the second question, we formulate the decision making procedure using the framework of partially observable Markov decision processes. A heuristic dynamic strategy is proposed to solve this problem and the effectiveness is shown via simulation.