| The rapid development of CRBT and other following value-added telecom services have brought operators huge benefits in recent years. But the original network management system (NMS) still focuses on network element layer management such as configuration management, performance management, alarm management and so on, which becomes insufficient in providing unified customer-oriented QoS management.By introducing the concepts of intelligent network (IN) and NMS for IN, the original NMS's problems are exposed and the necessity of developing CRBT evaluating system is proposed in this thesis. Then the author designs CRBT's evaluating model and evaluating algorithms, which become the basis of this system. Finally by implementing this system and verifing evaluating results, the system's evaluating effectiveness is proved.In the first chapter of this article, we introduce the characteristics of fixed intelligent network and mobile intelligent network as well as the functions of intelligent network managenment system (INMS). Then disadvantages of current INMS's management on value-added services such as CRBT are analysed carefully, which makes it quite necessary to develop a system to manage, analyse and evaluate value-added services.The evaluating model and evaluating algorithms of CRBT are introduced and designed respectively in chapter 2 and 3 of this thesis. At first, a series of KQIs (Key Quality Indicator) and KPIs (Key Performance Indicator) for CRBT services are concluded based on TMF's (Telecommunications Management Forum) related definitions and white paper of QoS (Quality of Service). Then the second chapter brings a 3-layer evaluating model for CRBT, which is constructed based on those indicators and then expands into 5-layer model according to the features of EBUPT's (Eastcom-bupt technology co., ltd) CRBT system. At last we describe AHP algorithm, which is proved to be an effective algorithm to determine all factors' relative degree of importantance in a same layer and carefully design KTK algorithm, which is a scoring algorithm that can satisfy custermor's requirements in chapter 3.The system's design, implementation and results verification start from the fourth chapter. First of all, we summrise the entire system's architecture and describe the system's logical and overall structure. According to this article, the whole system consists of 3 subsystems: KPI extracting subsystem, KQI metadata handling subsystem and KQI calculating and alarm handling subsystem. The first subsystem, whose duty is to extract every host's original KPI information through ODBC as well as log analysis, belongs to Client and deploies on every host that run CRBT services. The other two are in the same process and belong to Server which deploies on specific host that run CRBT evaluating system. Their duty is to process log format conversion, to calculate every node's score and status in the evaluating model as well as inspecting and sending early warning. Then the above three subsystems' overview design, key process and key class design are described in detail in chapter 4. Finally, the fifth chapter lists an example to demonstrate that, compared to Experts algorithm and Delphi algorithm, AHP algorithm has more significant results. Especially when some fault happens, the system's score will be reduced rapidly to remind maintenance staff to take measures in time.However, the system still has some disadvantages. And in the last chapter, we analyse those disadvantages and provide some directions worthy of improving as well as some useful recommendations and suggestions for the system's promotion and the design of next version. |
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