Abstract
With the development and evolution of network technology, the normal operation of network equipment to meet the most basic needs of the needs of business users. Meanwhile, the key is the normal operation of network services. Therefore, this paper proposes to quickly find a network failure ant colony algorithm, which uses equipment pheromone concentration determines the strength of the network devices failure probability, according to the pheromone concentration construction business failed path.
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Acknowledgment
This work was supported by The National Science Foundation for Young Scientists of China (No. 61201452) and the Graduate Innovation Fund of Wuhan Polytechnic University (Grant No. 2013cx014).
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Ling, R., Changhua, L., Yuling, W. (2018). A General and Effective Network Failure Ant Colony Algorithm Based on Network Fault Location Methods. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_117
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DOI: https://doi.org/10.1007/978-981-10-7605-3_117
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