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Analysis of mobile agents in network fault management

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Title: Analysis of mobile agents in network fault management
Authors: Al-Kasassbeh, Mouhammd mouhammd.al-kasassbeh@port.ac.uk, Adda, Mo1 mo.adda@port.ac.uk
Source: Journal of Network & Computer Applications. Nov2008, Vol. 31 Issue 4, p699-711. 13p.
Subjects: Mobile agent systems, Mobile communication systems, Intelligent agents, Artificial neural networks
Abstract: Abstract: Network domains have become more and more advanced in terms of their size, complexity and the level of heterogeneity. Comprehensive fault management is the most significant challenge in network management. Fault management can help increase the availability of the network by quickly identifying the faults and then, proactively, start the recovery process. Current centralized configured network management systems suffer from problems such as insufficient scalability, availability and flexibility as networks become more distributed. Mobile agents (MAs), with integral intelligence, can present a reasonable new technology that will help to achieve distributed management, several researchers have embraced these approaches. In this paper, we introduce a general analytical model for network management client/server (CS) and MA paradigms. We express how to build up an analytical framework, which can be used to quantitatively assess the performances of the MA and CS paradigms under different scenarios. We present some numerical and experimental results that demonstrate the applicability of our proposed framework, which will be based on a combination of MA and CS schemes called Adaptive Intelligent Mobile Agent. [Copyright &y& Elsevier]
Copyright of Journal of Network & Computer Applications is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Analysis of mobile agents in network fault management
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  Data: <searchLink fieldCode="AR" term="%22Al-Kasassbeh%2C+Mouhammd%22">Al-Kasassbeh, Mouhammd</searchLink><i> mouhammd.al-kasassbeh@port.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Adda%2C+Mo%22">Adda, Mo</searchLink><relatesTo>1</relatesTo><i> mo.adda@port.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Network+%26+Computer+Applications%22">Journal of Network & Computer Applications</searchLink>. Nov2008, Vol. 31 Issue 4, p699-711. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Mobile+agent+systems%22">Mobile agent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+communication+systems%22">Mobile communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Abstract: Network domains have become more and more advanced in terms of their size, complexity and the level of heterogeneity. Comprehensive fault management is the most significant challenge in network management. Fault management can help increase the availability of the network by quickly identifying the faults and then, proactively, start the recovery process. Current centralized configured network management systems suffer from problems such as insufficient scalability, availability and flexibility as networks become more distributed. Mobile agents (MAs), with integral intelligence, can present a reasonable new technology that will help to achieve distributed management, several researchers have embraced these approaches. In this paper, we introduce a general analytical model for network management client/server (CS) and MA paradigms. We express how to build up an analytical framework, which can be used to quantitatively assess the performances of the MA and CS paradigms under different scenarios. We present some numerical and experimental results that demonstrate the applicability of our proposed framework, which will be based on a combination of MA and CS schemes called Adaptive Intelligent Mobile Agent. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Network & Computer Applications is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=33532593
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        Value: 10.1016/j.jnca.2007.11.005
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Mobile agent systems
        Type: general
      – SubjectFull: Mobile communication systems
        Type: general
      – SubjectFull: Intelligent agents
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      – SubjectFull: Artificial neural networks
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      – TitleFull: Analysis of mobile agents in network fault management
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              Text: Nov2008
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