Resource allocation prediction method and system for mobile cloud computing

A technology of resource allocation and forecasting method, applied in the field of cloud computing, can solve problems such as unscientific and unconsidered effects, and achieve the effect of improving efficiency, reducing the amount of calculation, and improving the accuracy of forecasting

Active Publication Date: 2018-05-18
QINGHAI UNIVERSITY
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  • Claims
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Problems solved by technology

In addition, although the absolute distribution superposition of each order (various step sizes) Markov chain is applied to predict the state, it does not consider the role of the abso

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  • Resource allocation prediction method and system for mobile cloud computing
  • Resource allocation prediction method and system for mobile cloud computing
  • Resource allocation prediction method and system for mobile cloud computing

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Embodiment Construction

[0076] The principles and features of the present invention are described below in conjunction with examples, which are only used to explain the present invention and are not intended to limit the scope of the present invention.

[0077] figure 1 It is a flowchart of a resource allocation prediction method in mobile cloud computing provided by an embodiment of the present invention. Such as figure 1 As shown, a resource allocation prediction method in mobile cloud computing includes the following steps:

[0078] Step 1, count resource index values ​​in mobile cloud computing within a preset time period before the target time node to form an index value set A, and classify the resource index values ​​in set A, and each level corresponds to a state space;

[0079] Step 2, using the weighted Markov chain algorithm to calculate the state probability row vector of the target time node;

[0080] Step 3: Establish resource indicator value mean column vectors according to the gradi...

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Abstract

The invention relates to a resource allocation prediction method and system for mobile cloud computing. The method comprises the steps of performing statistics on resource index values in mobile cloudcomputing in a preset time period before a target time node to form an index value set A, and performing grading on the resource index values in the set A, wherein each grade corresponds to a state space; by utilizing a weighted Markov chain algorithm, calculating a state probability row vector of the target time node; according to grading standards, establishing mean column vectors of the resource index values, and in combination with the state probability row vector, calculating a predicted value of the target time node. According to the method, the predicted value can be directly obtained,so that a model is simplified to a certain extent, the calculation amount is reduced, and the efficiency is improved. By utilizing the mean column vector, the influence of an interval superposition probability on a whole prediction result is reduced, the prediction accuracy is improved, and the problem that the final prediction result deviates from an actual result due to the fact that the weighted Markov chain algorithm ignores difference of prediction probabilities in stages in the superposition process is solved.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a resource allocation prediction method and system in mobile cloud computing. Background technique [0002] Cloud computing is the product of distributed computing, parallel computing, and grid computing. It is a computing model that uses the Internet to access shared resource pools anytime, anywhere, on demand, and conveniently. With the continuous emergence and development of mobile devices, mobile cloud computing based on Android, IOS, etc. has also emerged as the times require. Currently, cloud computing allows tenants to lease resources on a pay-as-you-go basis, which has the potential to provide a more cost-effective solution than on-premises computing by eliminating the need for tenants to maintain complex infrastructure. To realize this benefit, applications running in the cloud need to be provided with the right amount of resources, which are less static...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06K9/62
CPCG06F9/5027G06F18/295
Inventor 罗佩聪王晓英
Owner QINGHAI UNIVERSITY
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