Optimization of maintenance costs of video systems based on cloud services

Abstract

The paper describes system architecture for storing and managing video resources. Presented architecture is based on the cloud. It will propose a way to optimize the costs associated with storing large files by using two types of storage. The first one will be dedicated to high-resolution files. The use of transcoder will be discussed including creation of a file of lower resolution. Such files will be stored in a second above-mentioned type of storage, which is available from the client application and is shared within end users. To illustrate the idea of cost optimization the services provided by Amazon were used. The paper describes a case study of highly scalable video archive with a dedicated web application. The architecture for this case is proposed and the basic cases of use are presented. However, the whole business analysis is omitted and the problem is treated at a high level of abstraction.