Towards more intelligent network management: service-oriented proactive fault management using KDD techniques

2002 ◽  
Author(s):  
Liu Kangping ◽  
Li Zengzhi ◽  
Wang Zhiwen ◽  
Zhang Jing ◽  
Tang Yazhe
Keyword(s):  
Network Management ◽  
Fault Management ◽  
Management Service ◽  
Intelligent Network ◽  
Service Oriented

A Two Phases Self-healing Framework for Service-oriented Systems

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh
Keyword(s):  
Web Services ◽  
A Priori ◽  
Fault Management ◽  
Service Selection ◽  
Exception Handling ◽  
Self Healing ◽  
Service Oriented Architectures ◽  
Service Oriented ◽  
Improved Performance ◽  
High Level

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.

Advances on intelligent network management

2011 ◽  
Author(s):  
Jason J. Jung ◽  
Yue-Shan Chang ◽  
Zhiwen Yu
Keyword(s):  
Network Management ◽  
Intelligent Network

Design and Implementation of Network Management Architecture for Wireless Sensor Networks

2012 ◽  
Vol 433-440 ◽  
pp. 3895-3899 ◽  
Author(s):  
Ray I Chang ◽  
Chi Cheng Chuang
Keyword(s):  
Web Services ◽  
Network Management ◽  
Service Oriented Architecture ◽  
Wireless Sensor ◽  
Memory Space ◽  
Loosely Coupled ◽  
Sensor Platforms ◽  
Management Architecture ◽  
Service Oriented ◽  
Network Management Architecture

Traditional NM (Network Management) techniques can not be applied on WSN (Wireless Sensor Network) due to its features of low computing ability, tiny memory space, and limited energy. A new NMA (Network Management Architecture) for WSN is needed. In this paper, we design a loosely coupled NMA of WSN based on SOA (Service-Oriented Architecture), and have well defined NM interfaces. Finally, we develop a SOA platform for WSN operations according to the NMA. Based on SOA platform, users can compose and use various NM Web Services by internet depending on their requirements. Heavy tasks which need a great deal of computing resources and storage are executed on the SOA platform. Thus, energy consumption and node computation can be decreased. Moreover, external applications use Web Services to integrate SOA platform for WSN. It lowers the difficulty in integrating different sensor platforms and heterogeneous devices.

Ontology-Based Network Management for Autonomic Communications

2010 ◽  
pp. 9-26
Author(s):  
Dimitris Kanelopoulos
Keyword(s):  
Network Management ◽  
State Of The Art ◽  
Intelligent Network ◽  
Data Correlation ◽  
Combine Data ◽  
Communication Services ◽  
Commercial Networks ◽  
Autonomic Networks ◽  
Core Components ◽  
Autonomic Communications

This chapter is focused on state-of-the art issues in the area of ontology-based autonomic communications and it considers how ontologies can be useful for network management as a way to achieve semantic interoperability among different network management models. In addition, it presents the autonomic communications paradigm as a possible solution to the ever-growing complexity of commercial networks due to the increasing complexity of individual network elements, the need for intelligent network and communication services and the heterogeneity of connected equipment. Finally, the chapter analyses how ontologies can be used to combine data correlation and inference technologies in autonomic networks. Such technologies are used as core components to build autonomic networks.

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