Title
Improving Smartphones Battery Life by Reducing Energy Waste of Background Applications
Abstract
Smartphones have undergone a remarkable evolution over the last few years, from simple calling devices to full fledged computing devices where multiple services and applications run concurrently. Unfortunately, battery capacity increases at much slower pace, resulting as a main bottleneck for Internet connected smartphones. Several software-based techniques have been proposed in the literature for improving the battery life. Most common techniques include data compression, packet aggregation or batch scheduling, offloading partial computations to cloud, switching OFF interfaces (e.g., WiFi or 3G/4G) periodically for short intervals etc. However, there has been no focus on eliminating the energy waste of background applications that extensively utilize smartphone resources such as CPU, memory, GPS, WiFi, 3G/4G data connection etc. In this paper, we propose an Application State Proxy (ASP) that suppresses/stops the applications on smartphones and maintains their presence on any other network device. The applications are resumed/restarted on smartphones only in case of any event, such as a new message arrival. In this paper, we present the key requirements for the ASP service and different possible architectural designs. In short, the ASP concept can significantly improve the battery life of smartphones, by reducing to maximum extent the usage of its resources due to background applications.
Year
DOI
Venue
2014
10.1109/NGMAST.2014.10
Next Generation Mobile Apps, Services and Technologies
Keywords
Field
DocType
energy conservation,secondary cells,smart phones,ASP service,application state proxy,background applications,energy waste reduction,smartphones battery life improvement,Green networking,application state proxy,battery life,energy efficiency,smartphone
Bottleneck,Computer science,Efficient energy use,Networking hardware,Server,Computer network,Packet aggregation,Job scheduler,Embedded system,The Internet,Cloud computing
Conference
Citations 
PageRank 
References 
5
0.41
13
Authors
4
Name
Order
Citations
PageRank
Raffaele Bolla173669.90
Rafiullah Khan2467.58
Xavier Parra350.41
M. Repetto48319.34