Artificial Bee Colony Optimized Scheduling Framework Based on Resource Service Availability in Cloud Manufacturing

Abstract

The research on Cloud manufacturing (CMfg) is mainly articulated around the promotion of collaboration among service providers to increase the global manufacturing capabilities and create virtual enterprises that satisfy complex service requirements and designs. For manufacturers, here denoted as service providers, CMfg also presents a valuable enhancement of their resources' occupancy and a way to rapidly expend their business. However, the interplay among service providers is an important parameter to issue when it comes to cloud service scheduling. The collaboration orientation and the resource occupancy must be addressed as the main driver for the scheduling framework establishment. Therefore, this paper proposes a strategy concerning the scheduling approach in CMfg based on resource service availability and globally optimized through Artificial Bee Colony (ABC) algorithm. The precision and efficiency of the present method are discussed in the experiments section.