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This paper presents Fast load balancing technique inspired by Bioinformaticsis a special case to assign a particular patient with a specialist physiciancluster at real time. The work is considered soft presentation of the Gaussianmixture model based on the extracted features supplied by patients. Based onthe likelihood ratio test, the patient is assigned to a specialist physiciancluster. The presented algorithms efficiently handle any size and any numbersof incoming patient requests and rapidly placed them to the specialistphysician cluster. Hence it smoothly balances the traffic load of patients evenat a hazard situation in the case of natural calamities. The simulation resultsare presented with variable size of specialist physician clusters that welladdress the issue for randomly growing patient size.

Fast Load Balancing Approach for Growing Clusters by Bioinformatics