Using proxy cache relocation to accelerate Web browsing in wireless/mobile communications
Proceedings of the 10th international conference on World Wide Web
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
CloneCloud: elastic execution between mobile device and cloud
Proceedings of the sixth conference on Computer systems
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
COMET: code offload by migrating execution transparently
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Demystifying page load performance with WProf
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Cloud is not a silver bullet: a case study of cloud-based mobile browsing
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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Mobile Web page loads are notoriously slow due to limited computing power and slow network access. Our preliminary experiments show that computation is a significant fraction of page load time on mobile devices. Also, energy arguments suggest that it will stay this way. To compensate the limited computing power, our position is that offloading portions of the page load process to the cloud can significantly improve mobile page load time. We propose a measurement-based framework that allows to offload portions of mobile page load process to the cloud. Unlike browsers that offload fixed parts of page loads such as Opera Mini, our framework will allow to offload any portion of the page load process. We will experiment with a large variety of real-world situations (e.g., varying computing power on mobile devices) by offloading varying portions of page loads using our framework. Informed by the experimental results, we will develop a mobile browser that considers the diverse situations as well as energy and data usage.