Monitoring the Manufacturing Operation Process Data through the Cloud Database

The level of service provided by disseminating industrial management was difficult to
match by the customer or multivalent based on embedded data stores now in usage.
An Embedded Cloud Database Service (ECDT) approach is proposed as a solution to the
problems. To enhance the actual-time performance and dependability to transaction
processing, ECDT architecture should be first built, and a Dual-Timing Transaction
Control (DTC) mechanism was proposed. Then, a different network sniff-timing
calculation method was presented to increase the effectiveness of the ECDT method,
and a cloud services middleware component was built to carry out dynamic access
control and real-time DB search. In comparison to MySQL and Berkeley DB, the total
transaction processing time could be slashed by 45.5% and 36.7%, correspondingly. The
DNS2 algorithm could also function with average demand and time change and use less
energy. Finally, the results of the numerical and commercial experiments show that the
DTC technique could improve the real period precision of transmission operations in a
condition where reading consistency was guaranteed, and the data transfer speed
could be 20 MB/s.