Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing
Optimization of Webpage Downloading Performance with Content-aware Mobile Edge Computing
复制标题
利用内容感知移动边缘计算优化网页下载性能
DOI：
10.1145/3098208.3098214
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Qian P
中科院分区：
文献类型：
--
作者：
Qian P
随着网页复杂性的增加，网页在下载操作过程中产生的计算延迟已经成为一个新发现的因素，可能会在很大程度上影响移动网络中的用户体验。为了解决这一问题，我们提出了一种简单但有效的传输层优化技术，该技术需要从移动边缘计算(MEC)服务器向实际执行该算法的用户设备分发必要的上下文信息。在这种情况下，关键的新颖性是移动边缘对网页内容特征的了解，这能够增加用户QOE增强的下载吞吐量。基于实际LTE-A测试台的实验结果表明，当计算延迟比例在20%到50%之间变化时(这是目前网页的典型情况)，下载吞吐量可以提高高达34.5%，下载时间减少高达25.1%
With increased complexity of webpages nowadays, computation latency incurred by webpage processing during downloading operations has become a newly identified factor that may substantially affect user experiences in a mobile network. In order to tackle this issue, we propose a simple but effective transport-layer optimization technique which requires necessary context information dissemination from the mobile edge computing (MEC) server to user devices where such an algorithm is actually executed. The key novelty in this case is the mobile edge's knowledge about webpage content characteristics which is able to increase downloading throughput for user QoE enhancement. Our experiment results based on a real LTE-A test-bed show that, when the proportion of computation latency varies between 20% and 50% (which is typical for today's webpages), the downloading throughput can be improved up to 34.5%, with reduced downloading time by up to 25.1%