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An application-aware distributed multi-resource combination path optimal selection method for cloud data centers

A cloud data center, combined path technology, applied in the field of distributed multi-resource combined paths, can solve problems such as CPU capacity limitation and high I/O throughput, and achieve the effect of speeding up search time

Active Publication Date: 2021-11-26
BEIJING UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But online video web services are data-intensive and require high I / O throughput, while some Map Reduce jobs (such as K-Means and Pagerank) are CPU-intensive and usually limited by CPU capacity

Method used

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  • An application-aware distributed multi-resource combination path optimal selection method for cloud data centers
  • An application-aware distributed multi-resource combination path optimal selection method for cloud data centers
  • An application-aware distributed multi-resource combination path optimal selection method for cloud data centers

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Embodiment Construction

[0058] Such as figure 1 As shown, the present invention provides a cloud data center application-aware distributed multi-resource combination path optimal selection method, which includes the following steps:

[0059] The first step is to collect and process resource status information such as network and CPU in basic resources

[0060] From the request flow data warehouse RFDH, periodically obtain the flow forecast information of various request flows in each segment of resources; and obtain real-time network topology, each network link and server through the cloud data center application-aware cloud resource manager AACRM The status information of CPU, Memory, I / O and other resources in the cluster, and then store these resource status information in the HBase database in real time. First, feature engineering is used to process the collected resource status information (network bandwidth, delay, CPU, etc.). This step provides data for the model training constructed below. ...

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Abstract

The invention discloses an optimal selection method of a cloud data center application-aware distributed multi-resource combination path, comprising: a cloud data center application-aware cloud resource manager is responsible for collecting resource status information such as network and CPU among basic resources; Reinforcement learning, value network and policy network are combined to form an unsupervised deep hybrid architecture model, which evaluates model training and node movement positions of various request streams; a new tree search algorithm, namely parallel Monte Carlo tree search, is adopted (Parallel Monte Carlo Tree Search, PMCTS) algorithm to accelerate the search for a suitable resource path for each type of request flow, and combine the value and strategy network to give the optimal resource path selection result. By adopting the technical scheme of the present invention, it can ensure that the total response time delay of various intensive request flows in the cloud data center is minimal.

Description

technical field [0001] The invention relates to an optimal selection method of a cloud data center application-aware distributed multi-resource combination path. Background technique [0002] In recent years, a cloud data center (Cloud Data Center, CDC) that provides application service hosting has become more and more popular among enterprises and users. Because the cloud architecture can be expanded quickly and efficiently, it can support more workloads than traditional data centers. At the same time, the pay-as-you-go mode and on-demand resource allocation capabilities can save time and cost for users to build IT infrastructure, and provide cloud data Central providers provide a more cost-effective method of running applications and deploying services. In view of the advantages provided by the cloud, more and more individuals and enterprises are gradually transferring their applications from traditional personal computers and internal data centers to the cloud, and this ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04L12/947H04L29/08G06F9/50G06N3/08
Inventor 毕敬刘恒张晓芬
Owner BEIJING UNIV OF TECH
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