A Novel Self-Recognition Method for Autonomic Grid Networks Case Study:   Advisor Labor Law Software Application
  Recently, Grid Computing Systems have provided wide integrated use of resources. Grid computing systems provide the ability to share, select and aggregate distributed resources as computers, storage systems or other devices in an integrated way. Grid computing systems have solved many problems in science, engineering and commerce fields. In this paper we introduce a self-recognition algorithm for grid network and introduced this algorithm to have exclusive management control on the autonomic grid networks. This algorithm is base on binomial heap to allocate and recognition any node in the grid. We try to using this algorithm in advisor labor law software application as case study and shown in this application how to use this method for any advisor application on the network. By this implementation model shown this method can get better answer to any question as a best labor law advisor. 
Mehdi Bahrami, Peyman arebi, Hosseyn Bakhshizadeh, Hamed Barangi
cs.DC