Development of Personalized Mobile Information Service Platform of University Library Based on Multi-Core Processor and Cloud Computing Platform

The library can quickly create and manage its own data center. University library will allow to maintain greater control over applications and data storage that contain sensitive private information about students. Using multi-core processors are considered the design of future product microprocessors. Not only is it a solution for Central Processing Unit (CPU) speeds, also reduces consumption because many cores at lower frequencies collectively produce less to the cores with their total computing. Existing methods are K-Nearest Neighbor (KNN) and Principle Component Analysis (PCA) is an information resources have gradually shifted from digital analog analysis the Digital libraries are beginning to enter the computing increased the cost and time. Cloud computing Digital Information Resources Integration Library is suitable for architecture model applications, to provide a new solution for digital library, construction intensity and digital resource sharing. To overcome the issue in this work proposed Sequence Recurrent Neural Network (SRNN) using mobile library services, some of which can be used by various university libraries and other services already find help libraries that gather their information in a fast and time-limited way without external and time restrictions. The value of this is Help of University libraries can identify and adapt mobile processors. With these mobile initiatives, libraries can offer a wide range of mobile services to interested users. It has been shown by test results that adding processor cores to the data center increases system performance, reduces consumption, and has other benefits.