A Solution of Python Distributed STM Based on Data Replication

Nowadays development of various distributed STMs, which aid parallel programming of distributed systems, attracts interest of many researchers. In this paper, we developed the Python distributed STM based on data replication, which provides better performance as well as tolerance to replica faults. The solution supports both eventual and sequential data consistency. Experimental results show that reading t-variables from a local replica is up to 16 times faster than reading them from the base replica.