| Abstract [eng] |
Distributed applications are modeled around replicating copies of the same data on many hosts in a network for a variety of reasons. For one, system designers can alleviate the single-server implosion problem and instead distribute client requests for data across many hosting servers. Second, making data locally available on a host speeds up applications because the applications do not block for network input/output as data is transmitted. In this work we have analyzed several data access architectures: 1. Always offline 2. Always online 3. Mixed architecture Also we have described technical implementation details, problems which occur developing synchronization algorithms and mandatory information which is needed for these algorithms to work correctly (ID handling, change detection, fast/slow synchronization etc.). Furthermore, we investigated existing system architecture and defined mandatory changes needed for incorporating synchronization process into system functionality. Finally, we did detail analysis of mixed data access architecture, which included real world appliance, pros and cons. After that we created a model using complex systems formalization aggregation method which was based on these architecture principles. Also we did models parameter analysis in experimental part. |
