MULTITHREAD UNTUK MEMPERCEPAT PROSES SINKRONISASI DATA MENGGUNAKAN MODEL PEMROGRAMAN MAPREDUCE; MULTITHREAD TO SPEED UP THE PROCESS OF SYNCHRONIZATION DATA USING MAPREDUCE MODEL PROGRAMMING

Retnowo, Murti, Edi Winarko

2016 | Disertasi | FMIPA

Research in the processing of the data shows that the larger data increasingly requires a longer time. Processing huge amounts of data on a single computer has limitations that can be overcome by parallel processing on many computers. This study utilized the MapReduce programming model data synchronization by duplicating the data from database client to database server. MapReduce is a programming model that was developed to speed up the processing of large data. MapReduce model application on the training process performed on data sharing that is adapted to number of sub-process (thread) and data entry to database server and displays data from data synchronization. The experiments were performed using data of 1,000, 10,000, 100,000 and 1,000,000 of data, and use the thread as much as 1, 5, 10, 15, 20 and 25 threads. The results showed that the use of MapReduce programming model and Message Passing and Static Task Assigment can result in a faster time. The faster result shown 1.000.000 data using 25 thread

Kata Kunci : MapReduce, data synchronization, multithread, Message passing Interface, Static Tasks Assigment