Name
Abstract | ||
|---|---|---|
Self-operation has been proposed to reduce operational expenditure and complexity; one technique that may be applied concerns automation based on lessons from past experiences. This paper provides a solution for self-operation to learn the experiences of improper configurations and their associated network contexts. When receiving a new configuration request, self-operation defines the similarity measure corresponding to the requested configuration and its related network context. Then, self-operation uses the similarity measure to find similar experiences and determine if the requested configuration would be improper to take or not. The decision is either to approve or reject the request accordingly. Thus, an improper configuration would be prevented in advance. This solution is realized on a demonstrator implementing self- operation. Corresponding experiments are made with the demonstrator. The experimental results show that the solution works well as expected. |
Year | Venue | Field |
|---|---|---|
2018 | NOMS | Similarity measure,Computer science,Computer network,Automation,Network operations center,Cellular network,Operating expense,Distributed computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haitao Tang | 1 | 41 | 8.19 |
| Kaj Stenberg | 2 | 0 | 0.68 |
| Vilho Räisänen | 3 | 16 | 3.90 |
| Joonas Kylliainen | 4 | 0 | 0.34 |