EstiTO: An Efficient Task Offloading Approach based on Node Capability Estimation in Cloudlet

• Main Author: 高肇億
• Other Authors: Wei-Tsung Su
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/64438894925471829763

碩士 === 真理大學 === 資訊工程學系碩士班 === 104 === In recent years, the cloud computing to become a very common technology, because mobile devices are become powerful and almost everyone have, the Internet has become increasingly developed. This paper, we propose an Offloading task based on the effective capacity of the nodes in the cloudlet architectural approach. Because mobile devices is limited by the capacity of the battery, so when the resource-poor mobile device by offloading computation to the near mobile device to reduce the calculated energy consumption, and a group of mobile devices management by Device Manager. When the user submit a computation offloading request to a group build up by mobile devices call cloudlet, the Broker in the cloudlet will ask the node’s status (computing speed, resource). And find the effective data ratio according mobile device’s computing speed, memory, workload to assign tasks.