Research On Project Schedule Management Of B Company's Value-added Business System Under Cloud Computing Environment

B company launched value-added products throughout the country.This project will launch a lot of charge products on TV.Such as series,movies and sport match.It is the most important income of B company.Is the most important project in 2017.The project implementation has encountered the following difficulties.(1)During the initial meeting of the project,it was found that the actual construction period of work package related to cloud computing was greater than expected,leading to the risk of postponing the project.The discovery of projects using emerging technologies(especially cloud computing)or the presence of a new project team lacks a maturity assessment on the duration of critical tasks.(2)To correct deviation,delay of time limit for a project in research and development personnel and to assess the crush,found that regular crach cost only focus on investment personnel's salary and overtime pay,ignore the cloud computing multi-tenancy the rental cost of a set of resources and the connection between the lease time and processing time limit for a project.(3)The practical application of business value-added projects,the three-point estimation method of adding maturity parameters is applied to the work packages related to cloud computing in the project,and the validity is verified by comparison with the actual construction period.And in the project system development phase required rush plan,the use of rental cost calculation formula to give quantified data comparison,select the optimal program.Above all,this paper focuses on the positive effects of cloud computing characteristics on project progress.Optimize project progress using cloud computing features.At the same time,fully consider the traditional tools and models in cloud computing environment and innovation deficiency of the optimization,timely introduction of applied project,software project based on cloud computing environment make the effective schedule optimization method to the practice of management.