Open and distributed system resource management and task scheduling system and method

Abstract

The invention discloses an open and distributed system resource management and task scheduling system and an open and distributed system resource management and task scheduling method. The open and distributed system resource management and task scheduling system comprises a task manager, a resource policy optimization scheduler, a resource manager and a plurality of node managers. A central scheduling function is simplified, the problem that in the prior art a resource management and scheduling system is relatively hard to directly use in an isomerism hardware environment to manage and execute isomerism tasks is solved, a frame for managing isomerism hardware resources and scheduling and executing the isomerism tasks is provided, and dynamic variation of hardware resources and scheduling management of different types of tasks can be supported.

Description

technical field [0001] The invention relates to the field of Internet applications, in particular to an open distributed system resource management and task scheduling system and method. Background technique [0002] With the rapid development of computer hardware and software and network technology, various types of terminals such as personal computers, mobile phones, and tablet computers emerge in an endless stream, and the application environments of end users become more and more diverse. The open distributed system continuously adds terminal devices in the system through a consistent communication mechanism to expand the system's hardware resource capabilities, and at the same time realizes the expansion of software services through public standard interfaces. [0003] The main purpose of the resource management and scheduling system is to allocate various resources in the system to various tasks submitted by users to the system through certain strategies. Commonly use...

AI Technical Summary

Problems solved by technology

Commonly used resource management and task scheduling methods are mostly aimed at a single environment, and it is difficult to directly apply them to manage and execute heterogeneous tasks in a heterogeneous hardware resource environment

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