Method and system for managing and dispatching cloud resource

Abstract

The invention provides a method for managing and dispatching cloud resources, which comprises the following steps: dividing a value range of each attribute of the resource into a plurality of attribute areas, distributing corresponding logic area index number to each attribute area, mapping each resource to a united area index determined by the logic area index number attributed to each attribute value of the resource, when receiving a resource request of a user, determining the logic area index number of the restrict upper limit and the restrict lower limit of each attribute of the requested resource, gaining a plurality of united area indexes satisfying the resource request, then selecting one united area index from the united area indexes, selecting one resource from a logic resource pool corresponding to the selected united area index, and providing the resource to the user. The method can satisfy the requirements of the user resource request with high concurrence degree and the resource renovation with high frequency in the cloud computing environment.

Description

technical field [0001] The present invention relates to distributed resource management and scheduling, in particular to high-concurrency scheduling and high-frequency update of massive resources in a cloud computing environment. Background technique [0002] Scheduling resources efficiently in a large-scale network is a key problem that must be solved in a distributed resource management system. In a distributed environment, the scale of network resources (including computing resources, data resources, software resources, and service resources, etc.) expands rapidly. work together. Unlike grid computing, which uses scattered resources to support large-scale applications, cloud computing centralizes various network resources for unified management and scheduling, and provides various services through the network in an on-demand and easily expandable manner. Resource scheduling in the cloud computing environment must face the pressure brought by the access of massive resour...

AI Technical Summary

Problems solved by technology

Among them, resource management systems based on centralized and hierarchical systems have poor scalability and are difficult to meet the needs of new large-scale applications.

However, the resource scheduling method based on P2P routing is difficult to schedule appropriate resources in the entire network domain, and in the case of large concurrency, the network traffic increases sharply

The DHTs-based resource scheduling method deploys and locates resources through the distributed hash (Hash) strategy, which solves the problem of massive resource storage and fast resource positioning, but it takes a lot of time to select resources, and resource updates bring The overhead of logical index changes and resource migration is also high, making it difficult to handle high-concurrency user requests and high-frequency resource updates

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