A membrane computing inspired packing solution and its application to service center workload distribution

This paper presents a bio-inspired system based on membrane computing for solving packing problems in complex dynamic systems where the characteristics of the packed items change continuously. For representing such systems, a bio-inspired model is defined, having as core entities cells and molecules, the packing problem translating into the problem of matching molecules to cells. A symbiotic relationship involving a mutual exchange of chemicals and energy between cells and molecules is defined and used to control the matching process. The system is evaluated in the context of workload distribution in service centers, having as goal the reduction of service center energy consumption by minimizing the number of used servers without affecting the workload resource requirements.