Fast rerouting method in MPLS networks in case of failures


  • Hazem Hatamleh Assistant professor at Al-Balqa' Applied University, Amman, Al-Salt, Jordan, Jordan


The problem of nonlinearity identification in experimental data is considered with application of appropriate statistical tests. An analysis of known statistical nonlinearity test is presented that is based on Fisher relation, and a new simplified test is proposed that can be used in conditions of incomplete experimental or statistical data. The empirical statistical nonlinearity criterion is computed on the basis of existence of a link between the values of respective cumulative sum and sample based standard deviation. It was empirically established that there exists a close link between the proposed and existing tests in the sense of similarity of final testing results. To find the critical values of statistics that are necessary for statistical decision making with the use of the simplified test appropriate computational experiments have been fulfilled. It has also been established that the test proposed can be used successfully in conditions of complete and incomplete experimental data. The practical application of the test proposed to actual data proved the similarity of results obtained with various approaches.

Author Biography

Hazem Hatamleh, Assistant professor at Al-Balqa' Applied University, Amman, Al-Salt, Jordan

Hazem Hatamleh,

Ph.D., assistant professor at Al-Balqa' Applied University, Amman, Al-Salt, Jordan



Zaichenko Y.P., Ahmed A.M. Sharadka. Task distribution of flows of different classes in the networks with MPLS technology // Journal of NTU "KPI". Avg. Informatics, Management and Computing equipment. — 2005. — № 43. — P. 113–123.

Zaichenko Y.P., Lavrinchuk O.M. Decentralized algorithm of distribution of traffic flows in MPLS networks based on the state of channels and parameters QoS // Journal Cherkasy State Technological University. Avg. Technical Science. — 2010. — № 2. — P. 17–27.

Bruce S. Davie, Adrian Farrel. MPLS: next steps. — San Francisco: Morgan Kaufmann, 2008. — 432 p.






Problem- and function-oriented computer systems and networks