The Research And Implementation Of Personalized Configuration And Dynamic Deployment Of Supplier Business Management Service

Service science is in the stage of development now. The idea of software servizing has been infiltrated into the software industry. And in the tide of service, exploring a method of software servizing is very necessary. At present, SaaS concept has been widely accepted by industry. However, research on SaaS is more at the commercial level as software delivery model. SaaS study at the technical level is relatively low. There are some mature products in SaaS market, such as XToolsCRM, Salesforce, etc., which is used in more generic, less configuration industry software. SaaS product don't have a standard model, and implementation means and technology. In the meanwhile, the two project, Shandong Province Manufacturing Industry Informatization Service Platform and Research on several correlated issues with applications virtualization, also need to explore a way of transforming a software system into application service.In addition, the status quo of small and medium-sized domestic manufacturing enterprises is low level of informatization, lack of technical equipment, financial difficulties, as well as the urgent needs of information technology and advanced manufacturing technology. Based on this, supplier business management service has good application foreground. Moreover, supplier business management system developed for aoling, and lovol have got positive evaluation. In order to provide easy-to-use supplier business management services to more small and medium-sized domestic enterprises, following work is carried out: personalized configuration for the supplier business management system and dynamic deployment of services configured already. In combination with project content and actual demand, study of service personalized configuration and dynamic deployment is carried out.This study chooses the manufacturing industry as research background. We research and develop enterprise informatization software supplier business management system for the current status of low level of informatization for small and medium enterprises; Solve the generality of delivered system, and look for suitable service models for small and medium-sized enterprises; Solve service instantiation in the platform; And provide supplier business management system in the form of service in the Shandong Province of manufacturing informatization public service platform. From the perspective of SaaS Maturity Model, the study focuses on solving service personalized configuration issue, as well as service dynamic deployment issue. On this basis, hope to improve the quality of service further more.In this paper, first of all, technical presentations, and the basis for this article: the design and implementation of supplier business management system and monitor module of the platform, and then on the basis of these introduce the supplier business management system personalized configuration thinking, achieving methods and implement. Then introduce monitoring of service host environment, which is considered as premise work of Dynamic deployment: Finally, based on the current monitoring module of the platform, give general steps of service dynamic deployment.The main innovation of this paper are as follows:1. Provide a personalized approach to configure, implement a supplier business management system, and based on it carry out personalized configuration on it. Realize service customrization and make it to archive SaaS Maturity Model Level II.2. Consider dynamic deployment of supplier business management service personalized configured. Provide hardware monitoring of application servers, and service monitoring. Provide a general method of dynamic deployment of service and provide scalability of SaaS service.On the basis of the above-study, this paper needs more work on the following areas: 1. Function expansion based on the current supplier management system, so as to meet the requirements of more small and medium-sized enterprises. 2. Look for appropriate methods and parameters to choose application servers during dynamic deployment, to choose the right server through algorithms, rather than artificially choose one server and decide the time for dynamic deployment in accordance with the situation of current monitoring, as is the case now.