抽象的

Neighborhood based Framework Active Learning

K.P.Kaliyamurthie, K.G.S. Venkatesan, S. Sriram, N.Vijay , Richard Solomon

Our proposed approach tries to decrease the impact of SLA violation through a user discrimination approach and avoid entering the complex procedure of negotiation There will be no chance to get the unknown result or loss of result. We can measure the SLA violation in long term measuring. For simulations, we considered five different user types and five classes of virtual machines with different reliability level labels. A learning automaton is an adaptive decision-making unit located in a stochastic environment and the action selection is based on a specific Probability distribution which is updated according to environment the automaton receives by employing a particular action which hence increases the efficiency by reducing the maximum cost and by improving Quality of Service (QoS).