Knowledge Bank

Smartphones and tablets are becoming more and more closely integrated with our daily lives. Smart devices have rapidly substituted traditional computers when it comes to performing certain daily activities such as web-browsing, email services, news feed, and etc. However despite the popularity of smart devices in recent years, smart devices continue to have a major critical flaw in their battery life. Several studies had been carried out to optimize energy consumption of individual smartphone through power management (managing GSM, Wi-Fi, and GPS), workload migration (cloud computing), and consolidation (virtual machine). However, unlike previous studies that focus on single phone energy saving methods, we propose a unique method whereby multiple smartphones collaborate to reduce energy consumption. In a phone grouping event, a proxy selection framework is vital to ensure that the workload can be delegated among all users, and that is delegated via a fair system. In this paper, a proxy selection framework is designed to ensure a self-sustained, fair, and efficient system that monitors user’s characteristics and performs maintenance operations dynamically. This framework is implemented on real smartphones to experiment on various proxy selection techniques and to verify its overhead and energy saving. Real world traces is used to test the framework on different social activity scenarios. By using this framework, we can save up to 75% of energy in comparison to a normal usage of individual phones. However, there are two main limitations to this framework.