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Due to the rapid growth of the Internet architecture and the complexities required for network management, the need for efficient resource management is a tremendous challenge. This paper presents a biologically inspired self-management technique for IP Quality of Service (QoS) prov-isioned network using the blood glucose regulation model of the human body. The human body has the capability to maintain overall blood glucose level depending on the intensity of activity performed and at the same time produce the required energy based on the fitness capacity of the body. We have applied these biological principles to resource management, which includes (i) the ability to manage resources based on predefined demand profile as well as unexpected and fluctuating traffic, and (ii) the ability to efficiently manage multiple traffic types on various paths to ensure maximum revenue is obtained. Simulation results have also been presented to help validate our biologically inspired self-management technique.

Applying Blood Glucose Homeostatic Model Towards Self-management of IP QoS Provisioned Networks