Toward asymmetric multilayer for distributed monitoring

Traditional centralized management solutions do not scale to present-day large-scale computer/communication networks. They suffer from certain other drawbacks too: a single point of failure and hence lack of fault tolerance and heavy communication costs associated with the central manager. It has been recognized the decentralization/distributed solutions can solve some of the problems associated with centralized solutions. Recently, a new theoretical multilevel paradigm called ML-ADSD assumes that all nodes in the same cluster are symmetric for multilevel adaptive distributed diagnosis algorithms for fully connected network which is not true and cannot be realized in the real life. In this paper, we propose a new algorithm called Asymmetric multilevel adaptive distributed diagnosis algorithms, AML-ADSD. In this new algorithm, each node parameters are to be classified using a standard benchmark program. Then, each node performances can be calculated.