|Author's Email Address
||This thesis had been viewed 5354 times. Download 99 times.|
||Computer Science and Engineering|
|Type of Document
||Implementation of distributed cloud computing platform for Financial instruments back testing and program trading|
|Date of Defense
||Nowadays, It is indispensable that the amount of transfer data in distribute computing is large. How to use network bandwidth effectively is more and more important.|
In the past, we put the data in many different hosts. If we need the data, we access them through network transfer. It is not hard to image that if we need more and more data, the amount of network traffic is more and more increased.
Therefore, under the premise that data can be classified and distributed, we move computing into the data node. On every Open MPI node, we design a lot of data which can be classified, and then we put those data to different data nodes. As a result, the computing on Open MPI node can use local data directly without using the data through network transfer. So, we can reduce the amount of data on network and use bandwidth effectively.
||Kuang-Chih Huang - chair|
Hung-Jen Liao - co-chair
Ying-Chih Lin - co-chair
Shi-Huang Chen - co-chair
Chun-Hung Lin - advisor
Indicate in-campus at 3 year and off-campus access at 5 year.|
|Date of Submission