Application of Multi-objective Weighing Work Scheduling Algorithm into Storage Network

The resource request task of transmission of large number of servers, wide-band resources in the enterprise storage gridding, the business distribution and download service are limited by scheduling length, time span, load balance, service quality, economic principles, security performance and many other factors, so it is difficult to use definite feature to define it. Given the above, the paper analyzed the enterprise storage gridding storage model and designed the compromised work scheduling algorithm based on multi-objective weighing. Through the massive measurements of randomly generated images, it proved the generosity of the algorithm. According to the result, the algorithm shows good performance on comprehensive indexes such as scheduling length, scheduling cost, average energy consumption, etc.