Research on cloud computing task scheduling based on calculus mathematical equation

Abstract

Due to the heterogeneity, distribution, autonomy and diversity of services in cloud computing environment, higher requirements are put forward for cloud platform scheduling mechanism, so the research on cloud architecture and its scheduling mechanism has attracted more and more attention from the industry. A cloud computing task scheduling algorithm based on calculus mathematical equation is proposed. Through the double boundary convergence control of the partial differential classification mathematical model, the partial differential classification data model is integrated into the data set, and the fuzzy control of the data is completed through the increment and decrement support vector. The membership function is used to transform the multi-QoS(quality of service) objective constraint problem into a single objective constraint solving problem. Compared with traditional methods, the method proposed in this paper can effectively reduce the deadline baseline violation rate of user task scheduling, and reduce its average task execution time and average task execution cost on the premise of meeting the user task multi-QoS target constraints.