Mobile app launch time acceleration through energy and context aware prediction models

Abstract

Technological advances in Computers Internet and Mobile communications have dramatically changed our lives Recently manufacturers have been incorporating various digital and information technologies into their small personal communication devices called as Mobile phones ever smarter and more powerful Naturally, people now call these devices as smart phones A smartphone is an attractive technology for many people because it synthesizes a small mobile phone a fast and easy to use PC and a high quality digital camera into one device Nowadays smartphones are indispensable tools for business education and personal use especially for young and the working people As a result users have to switch between applications and more elementally applications are interrupted when unintended events occur The performance of the mobile application is affected by these interrupts Further the growing number of applications on smart phones place ever more stringent demands on user experiences User experience mostly depends upon the performance of applications People usually do not want to use the application with long start up time poor responsiveness and more power consumption Existing mobile application testing methods perform well on certain aspects but they fail to evaluate mobile application during interruptions Many researchers and experts have come out with sound solutions for launch time augmentation Most of the schemes accelerate launch delay through usage of non volatile memories and memory cleaning techniques. Some schemes have implemented pre-launching technique based on usage behavior but they have not considered context aware usage behavior and energy Smartphones are highly personalized devices having one user per smartphone and every such user has an unique behavior