Distributed storage scheduling method

A distributed storage and storage node technology, which is applied in the field of distributed storage scheduling in cloud storage, can solve the problem of not being able to schedule the best performance service nodes, and achieve the effect of improving data transmission performance and storage efficiency, and improving storage quality

Active Publication Date: 2017-02-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The invention provides a method for distributed storage scheduling to overcome the defect that the current single-objective scheduling cannot be scheduled to the service node with the best performance, so that the selection of storage nodes is more comprehensive, and the storage efficiency and quality are improved.

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Embodiment Construction

[0018] Such as figure 1 The method for distributed storage scheduling of the present invention shown has the following steps:

[0019] a. Establish evaluation indicators: collect evaluation factors that affect scheduling according to scheduling requests. According to the whole process of scheduling, the evaluation factors are divided into the factor of the client sending out the request, the factor of the network transmitting the request, and the factor of the service node processing the request. Among them, the client factor includes the number of routing hops between the client and the server, the network factor includes the packet loss rate during network transmission and whether the network is smooth, and the server factor includes processor load, memory usage and storage space usage. Based on these five evaluation factors, the correlation between each influencing factor and scheduling is analyzed through the Pearson product-moment correlation coefficient:

[0020]

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Abstract

The invention relates to a distributed storage scheduling method. The method comprises the steps of establishing evaluation indexes, thereby obtaining an evaluation matrix related to m storage nodes; b, carrying out standardization processing on data, thereby obtaining an evaluation index value matrix after dimensional effect elimination is carried out on the data in the evaluation matrix; c, carrying out pairwise comparison through utilization of triangular fuzzy numbers, thereby obtaining a judgment matrix composed of the triangular fuzzy numbers and obtaining a weight vector of each evaluation factor, a weighting evaluation matrix and a weight value of each evaluation factor; and d, solving positive and negative ideal values, thereby obtaining the positive and negative ideal values and the distance from each storage node to the ideal values, sorting each storage node, and selecting the optimum storage node. According to the method, comprehensive analysis can be carried out on various influencing factors in the scheduling process, the optimum storage node is selected for response, the data transmission performance and storage efficiency of network remote distributed storage are greatly improved, and the storage quality of the distributed storage is clearly improved.

Description

technical field [0001] The invention relates to a distributed storage method in cloud storage, in particular to a method for performing distributed storage scheduling in cloud storage. Background technique [0002] In the field of distributed storage, Cinder is a widely used distributed storage architecture. Its scheduling is divided into two stages, namely filtering and weighting. When a storage request arrives, the filtering stage first filters out the storage nodes that meet the requirements. In the filtering, each storage node has only two results: whether it meets or does not meet the requirements. If it meets the requirements, it will enter the queue to be weighted. It is eliminated; after that, the weighting stage is executed to sort the storage nodes that meet the requirements, and select the most suitable storage node, which will provide storage services for the request. The current filtering process checks whether the storage node meets the requirements. The stand...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/863H04L12/733H04L45/122
CPCH04L45/122H04L47/50H04L67/1097
Inventor 张栗粽殷光强罗光春田玲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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