Time-and-Energy Aware Computation Offloading in Handheld Devices to Coprocessors and Clouds

• Main Authors: Huang, Ting-Jun, 黃霆鈞
• Other Authors: Lin, Ying-Dar
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/45268979984214066190

碩士 === 國立交通大學 === 網路工程研究所 === 99 === The hardware components in handheld devices are usually adapted to specific application and are hard to do general computations. However, with the popular of smart handheld devices, e.g. smart phone and pads, more kinds of software can run on these devices and raising the time and energy consumption. Therefore, some research discussed with computation offloading, but offloading does not promise the time and energy saving can always be achieved. Thus, we implement an offloading decision framework based on environment factors. The framework collects factors for estimating time and energy usage in every computing environment, and then makes decision according to user's preference. We pick two program, matrix multiplication and virus scanning, to evaluate the decision framework. In matrix multiplication computation, the false decision rate is below 30%, and can save 20~300% computing time and 50~130% energy consumption. In virus scanning, we choose the scanner from clamAV, the false decision rate is nearly zero. Surprisingly, we find a large file, e.g. larger than 2MB, is not suitable for offloading to cloud for scanning, which will suffered 160~250% performance decrease.