| dc.description.abstract | Complexity of AES encryption process is O(n). In previous research, parallel computation has been conducted on AES to decrease execution time, however it was not cost-optimal because the average efficiency value was below 0.7. In this research, parallel I/O computing was conducted in order to improve the speedup and the efficiency compared with AES algorithm that using sequential I/O. In this research, two computers are used with the specification: Intel Dual Core (2 CPUs) @ 2.3 GHz, AMD 16-3400M APU @ 1.4 GHz (4 CPUs), each computer has 2 GB of memory. The highest efficiency is achieved by using parallel I/O is 0.95, that occured when three processes are generated using two computers, The highest efficiency is achieved by using sequential I/O is 0.8, that occured when two processes are generated using two computers. | en |
