Task scheduling system and method based on cloud computing

Abstract

The invention discloses a task scheduling system and method based on cloud computing. The task scheduling system comprises an information collecting and transmitting device used for collecting resource information, a task receiving server used for receiving tasks, a task analyzing server, a task scheduling server, a task distributing server and a plurality of resource servers, wherein the input end of the task analyzing server is respectively connected with the information collecting and transmitting device and the task receiving server, and the task analyzing server takes charge of counting and analyzing the tasks and the condition of occupied resources; the input end of the task scheduling server is connected with the task analyzing server, and the task scheduling server schedules the tasks according to an analysis result of the task analyzing server; the input end of the task distributing server is connected with the task scheduling server; the input ends of the resource servers are connected with the task distributing server, and the resource servers execute the tasks distributed by the task distributing server. The defects in scheduling the tasks of a cloud computing platform of an existing cloud computing scheduling system are overcome, and a more efficient cloud computing platform is provided.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a task scheduling system and scheduling method based on cloud computing. Background technique [0002] Cloud computing is the integration and development of parallel computing, distributed computing, and grid computing. It is a revolution integrating software technology, hardware technology, virtual technology, and network technology. Cloud computing needs to realize the on-demand allocation of resources on the Internet like water and electricity, and can dynamically adjust according to the complexity of the request task and the size of the data set, which can improve the horizontal scalability of the system and greatly reduce the cost of hardware and software. resource cost. The task scheduling system is an important part of the cloud computing platform, which needs to handle massive user task scheduling under the condition of limited cloud computing resources. [0003] The perf...

AI Technical Summary

Problems solved by technology

[0003] The performance of the existing cloud computing scheduling system is low, and different tasks cannot be allocated to the corresponding resource servers for execution according to the characteristics of the tasks, the load of the resource servers executing the tasks, and the scheduling policies set by the user, which will increase the execution of tasks time, reduce the throughput of the entire system, and even cause the system to crash

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