FAULT LOCATOR JARINGAN TELEKOMUNIKASI DENGAN METODA NILAI SYMPTOM MAKSIMUM DAN NILAI SYMPTOM OPTIMUM

• Main Author: IBRAHIM
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/5421
• Institution: Institut Teknologi Bandung

<b>Abstract :</b> <p align=\"justify\"><br /> Fault localization a central aspect of network fault management to find the exact source of failure. This research propose maximum symptom value method and optimum symptom value method. The symptom value is summing of event correlation with knowledgebase and event alarm. The symptom value is -1 if the value of Hamming distance between knowledgebase of fault locator and event of alarm.is 1 and, the symptom value is 1 if the value of Hamming distance of knowledge base and event alarm is 0.<p align=\"justify\"> <br /> Fault localization using maximum symptom value, is all of the event used to analyze of correlation. Thus optimum symptom value, which only the event with value is 1 used to analyze of event correlation.<p align=\"justify\"> <br /> Result of research shown that choosing of code matrix minimum Hamming distance is important aspect to obtain the fault locator which robust and efficiently. By the first method, correlation error at the symptom loss rate 20% is 20.0% for minHD is one, 5,8% for minHD is two, 4.5% for minHD three, 3,0% for minHD is four, and 2,0% for minHD is fives. The second method, correlation error at the symptom loss rate 20% sequently are 20%, 5,5%, 3,5%, 2,5% clan 1,0% for mir, HD are 1,2,3,4 and 5.<p align=\"justify\"> <br /> The symptom processing speed for various domain sizes, the first method obtained 4000 symptom/second for 1000 problem domain, 1000 symptom/second for 4000 problem domain. By the second method, which obtained 4300 symptom/second for 1000 problem domain, and 1500 symptom/second for 4000 problem domain. <br /> <br /> <br />