Expert Grid: New Type of Grid to Manage the Human Resources and Study the Effectiveness of Its Task Scheduler

Grid systems are the federation of resources from multiple locations to reach a common goal. In previous researches, the focused resources were only CPU, electronic devices, storage devices, network, and software applications, but till now, human resource (HR) has not been considered as Grid resources in details, despite its importance in many fields of science and society. HR is one of the important assets of organizations and plays a significant role in their success. Common and local methods to share and manage the human's skills and knowledge in large geographically dispersed organizations are almost centralized, not reconfigurable and are based on the structure of organization; therefore, the optimal trade-off between the HR and job demands is a challenging problem. In addition, these methods did not consider some important parameters such as security issues, load balancing, organizations costs, unnecessary overtime, and employment issues. In order to overcome these defects, in this paper the new Grid architecture, named Expert Grid (EG), is proposed to find, employ, exploit, share, and manage the HR, its skills and knowledge effectively. EG provides infrastructure to increase the customer satisfactions by optimal distributions of requested jobs from customers. Experimental results show that the EG decreases the HR free time, customers delay time, and HR overtime in order to achieve high level of customers satisfaction and better performance of organizations.