Research on software resource service platform based on cloud computing

Research on software resource service platform based on cloud computing

Donghua University Zhang Xuan

The main content and innovation of the thesis are as follows: firstly, the paper introduces the characteristics of cloud computing and the related technology of cloud computing, analyzes the traditional software resource related theory and its management system, and points out the deficiencies of traditional software resource management system in the sharing of software resources. The framework of resource service platform based on cloud computing is proposed, and the platform is designed and researched. Secondly, according to the characteristics and requirements of the software Resource Service platform, the paper chooses the OSS cloud computing system based on the implementation of MapReduce parallel programming model, which can reduce the implementation cost and improve the software resource management and reuse efficiency greatly. Thirdly, combining the characteristics of software resource distribution and storage and distributed processing of the platform, the design of faceted retrieval method is designed, and XML is used to describe the faceted meta information, and the table is designed for resource information deposit in HBase. In order to speed up the retrieval efficiency of distributed storage resources, the off-line crawl of software resource search engine is designed and explained.

Keywords: cloud computing software resource management Hadoop faceted search

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