Method for computing node selection in grid market on the basis of trust filtering

Abstract

Aiming at the unreliable grid environment caused by node selfishness, the invention introduces trust mechanism into the computation market model of Buyya and provides a method for computing node selection in grid market on the basis of trust filtering, so as to overcome the defects of the original algorithm based on time and budget constraint. Resource agent selects available resources with the lowest opportunity cost and executes the operation by making preliminary screening to all possible resources and computing the opportunity cost for using each available resource. Compared with the traditional method, the method can effectively actuate the providers of reliable resources, the operation failure rate of the user is remarkably reduced, and the integrated cost is saved by 8% to 10%.

Description

technical field [0001] The invention belongs to the technical field of network computing, in particular to a method for selecting computing nodes in a grid market. Background technique [0002] The grid seamlessly integrates resources connected by means of communication into an organic whole. It provides users with a new type of computing platform based on the Internet. On this platform, a reasonable match is made between the request from the customer and the ability to provide resources, and the appropriate resource service is selected for the user's request, so as to achieve a wide area. resource sharing. The distribution, heterogeneity, dynamics and autonomy of the grid make resource management in the grid environment very complex and challenging. [0003] The grid computing environment that allocates resources based on the market mechanism is called the grid market. In the grid market, its typical application scenario is: the user uploads the job, fills in the paramet...

AI Technical Summary

Problems solved by technology

[0004] Different from traditional cluster computing, the dynamic and autonomous nature of the grid makes a large number of unreliable resources exist in the grid environment. It is an important and complicated task to select the appropriate resources to meet the needs of users.

On the one hand, the dynamic joining and exiting of resources makes the user's monitoring of resource information incompletely synchronized. For example, if a job is submitted to a resource that appears to be good but has unstable performance, hardware failures such as network failure or insufficient space will lead to job failures. Failure or running timeout; on the other hand, due to the autonomy of the grid, the resource provider may lie about its performance or unilaterally revoke resources according to its own interests, resulting in job timeout or even failure, causing unnecessary losses

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