Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model

A scheduling model and automatic scaling technology, applied in the field of network multimedia, can solve the problems of not considering the global distribution of cloud service providers, not considering cloud service price factors, not considering location information, etc.

Inactive Publication Date: 2014-09-24
FUDAN UNIV
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  • Abstract
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Problems solved by technology

【VYFM2012: Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, Zhi-Li Zhang, Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery, INFOCOM'12, Orlando, FL, USA, March , 2012.] pointed out that although the original system had 3 backup CDNs, they would switch only when the preferred server could not meet the minimum bit rate, and the utilization rate was low. Under this

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  • Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model
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  • Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model

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[0072] The overall structure of the present invention is as Image 6 shown.

[0073] In order to implement the whole process of method invention and evaluate the performance of the invented algorithm, in the experimental part of the invention, the application is determined as video-on-demand content distribution, the public cloud model uses EC2 of AWS, and the private cloud uses the OpenStack platform.

[0074] We set up a data center based on virtualization technology in the experiment. Install the G version of Openstack as a private cloud. Apply for an account on AWS, rent EC2 service, and apply for a virtual machine as a public cloud platform. Virtual machines can be Linux or Windows.

[0075] Since all user requests come from China, the whole China is divided into 5 regions in this experiment, which are marked as R1, R2, ..., R5. In the experiment, the province is regarded as a region, and it is assumed that in the same region, the price functions of cloud service prov...

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Abstract

The invention belongs to the technical field of cloud computing and network multimedia, and particularly provides an auto-expanding/shrinking cost-optimized content distribution service method based on a hybrid cloud scheduling model. The method comprises: a future number of user visits is predicted on the basis of historical data and provides basis for auto-expanding/shrinking of resources; according to the predicted value and a long-term scheduling algorithm, a rough plan of resource booking strategy is obtained through calculation; wherein a short-term scheduling model is introduced to reduce the prediction error and to improve the precision of resource supply and the quality of service. In the long-term scheduling algorithm, a locality-aware booking model is set up to derive the locality-aware resource booking algorithm. A resource prediction algorithm employs the ARIMA model. In a short-term adjustment algorithm, virtual machine status parameters are designed and a content missing algorithm is provided, so that the user experience of the entire system is further improved. The method enables hybrid cloud technology to support streaming media content distribution applications efficiently with auto-expanding/shrinking functions and optimized costs.

Description

technical field [0001] The invention belongs to the technical field of network multimedia, and in particular relates to a content distribution service method based on a hybrid cloud scheduling model for a new generation Internet environment. Background technique [0002] The digital content industry occupies a very important position in the application of the next generation IP network. In the new generation of Internet, with the development of broadband, Internet applications have shifted from simple Web browsing to comprehensive applications centered on rich content. The distribution services of rich media content will account for an increasing proportion. Streaming media, IPTV, Applications such as large file downloads and high-definition video have gradually become the mainstream of broadband applications. According to Cisco's 2010 video network survey report, video traffic accounted for one-third of the entire Internet traffic in 2010, and it is expected to exceed 70% ...

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Application Information

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IPC IPC(8): H04L29/06H04L29/08
Inventor 吕智慧邓达吴杰
Owner FUDAN UNIV
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