Optimization method and optimization system for task scheduling in large-scale virtualization environment

Abstract

The invention discloses an optimization method and an optimization system for task scheduling in a large-scale virtualization environment. The optimization method, as a friendly and efficient operation interface for task scheduling, includes task centralized management, distributed execution, smooth control for concurrency, execution time limit control, priority definition, operation monitoring, self-diagnosis, etc. The method is realized in accordance with crond program in a UNIX system, which enhances fine control function and supports cooperation between hosts to realize distributed execution and centralized monitoring of tasks. Task definitions managed by multiple hosts are under centralized management through a database to simplify configuration operation, so as to relieve burden of the database; the tasks are guided into a shared memory after being defined, and the database is not visited in subsequent scheduling. A scheduling platform has self-diagnosis ability, to guarantee sustained and steady scheduling work.

Description

technical field [0001] The invention relates to an optimization method and an optimization system for task scheduling in a large-scale virtualization environment. Background technique [0002] There are a large number of management tasks that need to be performed periodically in a virtualized environment, such as starting and stopping of virtual machines, change detection of configuration parameters, abnormal detection of hosts and application systems, collection and analysis of performance indicators, data backup and cleaning of expired data, etc. . [0003] The crond program in a UNIX-like system can realize the scheduled execution of tasks, but it is defined and managed in plain text, which is not convenient for task definition, retrieval, and operation monitoring, and lacks fine control over task execution. [0004] There is no additional control over the concurrent execution of tasks. When a large number of tasks are concurrently executed, the system resources are grea...

AI Technical Summary

Problems solved by technology

[0003] The crond program in a UNIX-like system can realize the scheduled execution of tasks, but it uses plain text to define and manage, which is not convenient for task definition, retrieval, and operation monitoring, and lacks fine control over task execution

[0004] There is no additional control on the concurrent execution of tasks. When a large number of tasks are concurrently executed, the system resources are greatly impacted, which may cause the system to be unresponsive for a short time.

[0005] There is no control over the execution time limit of the task, and the task process may hang indefinitely, continuously consuming system resources and losing control

[0006] There is no concept of priority for tasks, all tasks have the same priority, and the weight of tasks cannot be distinguished

[0007] The log information of all tasks is mixed together, which is difficult to track

[0008] It is not convenient to monitor the running status of the task intuitively in real time. You can view the running status of the process through the ps command, but it cannot be associated with the description information when the task is defined

[0009] For tasks that are executed on multiple hosts, centralized monitoring and tracking cannot be performed

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