An Adaptive Upload Acceleration Mechanism for Wireless Upload Services

Abstract

Wireless upload services are characterized by rapidly time varying channel conditions and wide size difference in pre-uploaded content generated by the end users. Therefore traditional static cache method used in large content delivery may not apply to wireless upload services. For example, uploading small content to the data center that is closer to the end users especially comparatively well behaved transmission links, caching may impose an extra load on the system that will decrease system efficiency and consume more energy. In this paper, an Adaptive Upload Acceleration Mechanism (AUAM) that can dynamically calculate the Necessity of Caching (NOC) is proposed. NOC is the basic factor to determine whether or not to use caches to accelerate the pre-uploaded content. We tried to find the trade-off between cache access reduction and user experience improvement, which depends on the channel conditions and uploaded data size. In addition, we described the implementation of the AUAM and compared with the traditional static cache method. Through analysis supported by practical upload tests with TD-SCDMA mobile network at China Mobile Labs, it was found that the number of cache access could be reduced to about 53% and the upload speed could be maintained at the same level as traditional static cache method when pre-uploaded content ranges from 10k to 80k bytes.