Mimicry scheduling method and system for general operation environment and medium

Abstract

The invention provides a mimicry scheduling method and system for a general operation environment and a medium, and the method comprises: a data preprocessing step of inputting an execution body set Cand the number k of required execution bodies, carrying out the preliminary screening of the execution body set C according to the historical risk value of each execution body in the execution body set C, and obtaining an updated execution body set C'; and a load balancing screening step of calculating the performance and load of the node where the executor is located according to the obtained updated executive set C', calculating the load weight and load difference of the node, guiding the selection of an alternative executor set when a new task arrives through the load weight, calculatingthe probability that each executor in the alternative executor set allocates the task through the load difference, and selecting a candidate executor set C'' in combination with heterogeneous features. According to the invention, mimicry is applied to a general operation environment, heterogeneous maximization of a distribution management process is realized, and isomorphism errors are avoided.

Description

technical field [0001] The present invention relates to the technical field of cloud computing task scheduling, in particular to a method, system and medium for mimic scheduling of a general operating environment. Background technique [0002] Cloud computing is based on the network, and virtual servers are aggregated into a logically unified resource pool through virtualization technology, which has scalability and flexibility. With the rapid development of computer and Internet technology, the application of cloud computing is becoming more and more diversified, and the rapidly growing task and resource scale also put forward higher and higher requirements for cloud computing task scheduling. Efficient scheduling algorithms play an important role in the execution of cloud computing frameworks. [0003] Scheduling itself is a widely used technology. Many researchers have done a lot of research on it in different fields. Currently, the commonly used cloud computing scheduli...

AI Technical Summary

Problems solved by technology

[0007] Scheduling algorithm for heterogeneous functional equivalent bodies for mimic security defense: A key link in mimic security defense is the scheduling of heterogeneous functional equivalent bodies. The existing scheduling strategies lack consideration of the similarity between redundant bodies, and the scheduling algorithm Relatively simple

Images