An Evaluation Method for Resource Allocation Strategy in Cloud Computing

Abstract

The invention discloses a resource allocation strategy evaluation method in cloud computing, which includes: dividing a project deployed on a cloud computing platform into a plurality of functional modules, and modeling according to the relationship between the functional modules to generate a workflow model; According to the resource allocation strategy, cloud computing resources are allocated to each functional module, and the operating parameters of each functional module are determined to realize the configuration workflow model; the workflow model is mapped to the time automaton model; the running time error and running time of the functional modules The error distribution is mapped to the time error of the sub-modules in the timed automata model; the test standard is set, and the probability value of the timed automaton model meeting the test standard is calculated as the evaluation result of the resource allocation strategy. The invention automatically analyzes whether the user's demand can be satisfied under the current distribution strategy, and quantitatively analyzes the reliability of the current distribution strategy, thereby reducing the probability of violating the service level agreement.

Description

technical field [0001] The invention relates to cloud computing technology, in particular to a method for evaluating resource allocation strategies in cloud computing. Background technique [0002] Due to the flexibility of service selection and the cost advantage of operation and maintenance, cloud computing has become the mainstream choice for enterprise application and service deployment. However, due to errors in the runtime of cloud computing resources, it may lead to uncertainty of application service time and price, thereby violating the service level agreement (SLA), which will cause losses to both cloud computing service providers and service purchasers. [0003] At present, cloud computing modeling and resource allocation focus more on modeling methods and resource allocation optimization algorithms, and there is no effective solution for quantitative analysis of resource allocation strategies. Contents of the invention [0004] The present invention overcomes t...

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Problems solved by technology

[0004] The present invention overcomes the defect that there is no quantitative analysis of resource allocation strategies in the prior art, resulting in uncertainty of cloud service time and price, and proposes an evaluation method for resource allocation strategies in cloud computing

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