Abstract
The Next Generation Networks (NGN) create various challenges to deal with network management operations, like fault management, service restoration, performance management, traffic management, data gathering and analyses, and routine network tests. As the network is growing exponentially, the amount of data that has to be stored to improve Quality of Service (QoS) are also high. In other words, data about the past history has to be stored effectively in order to deal with above challenges. If there is no effective strategy to overcome these challenges then the NGN or the upcoming networks could not perform well. This will result in poor QoS. The word ‘Offline’ refers already stored data or past data. The word ‘Online’ refers the QoS for the current requirements. That is, a strategy is proposed to improve current QoS requirements by analyzing the past data. The objectives of this paper are to appropriately monitor or manage the above operations, effectively gather and analyze the voluminous of data, efficiently identify the reason behind the problem and successfully take remedial measures to improve QoS. Ultimately, the outcome of this paper will improve the performance of the above network management operations.
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Pitchai, C.N., Lawrence, A., Lee, Gs. (2011). An Offline Quality Management Strategy to Improve Online Quality of Service for Next Generation Networks. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_67
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DOI: https://doi.org/10.1007/978-3-642-27180-9_67
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