CoolSpots: reducing the power consumption of wireless mobile devices with multiple radio interfaces
Proceedings of the 4th international conference on Mobile systems, applications and services
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Proceedings of the 5th international conference on Mobile systems, applications and services
BreadCrumbs: forecasting mobile connectivity
Proceedings of the 14th ACM international conference on Mobile computing and networking
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Cool-Tether: energy efficient on-the-fly wifi hot-spots using mobile phones
Proceedings of the 5th international conference on Emerging networking experiments and technologies
An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
Characterizing radio resource allocation for 3G networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A first look at mobile hand-held device traffic
PAM'10 Proceedings of the 11th international conference on Passive and active measurement
WCDMA for UMTS: HSPA Evolution and LTE
WCDMA for UMTS: HSPA Evolution and LTE
TailTheft: leveraging the wasted time for saving energy in cellular communications
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
TOP: Tail Optimization Protocol For Cellular Radio Resource Allocation
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
ICNP '11 Proceedings of the 2011 19th IEEE International Conference on Network Protocols
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
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The cellular network bandwidth increases significantly in the past few years, stimulated by many popular network-intensive applications, such as video streaming and cloud storage usages. Meanwhile, more and more users enjoy the multitasking feature of mobile devices and concurrently run a number of applications. Given these two trends and the fact that extended battery life remains to be a critical factor for small form factor devices, e.g. smartphones and tablets, it is imperative to understand the energy impact of multiple applications running concurrently on such platforms. In this paper, we characterize and understand the energy and performance impact of concurrent applications via a comprehensive set of carefully designed experiments. Specifically, we focus on network-intensive applications since most usage models today are driven by always-on communication activities. We make several significant contributions to shed light on understanding the energy behavior of concurrent applications. Firstly, we find out that running multiple network-intensive applications concurrently can significantly improve energy efficiency, up to 2.2X compared to running them separately. Secondly, we observe that power consumption from CPU and System on Chip (SoC) are the primary culprits of power dynamic for network-intensive applications; while communication components, including Network Interface Card (NIC), poses very little power consumption variation with different throughput. Thirdly, we investigate, in detail, the significant impact of signal strength on the energy consumption and throughput performance. Our findings and analysis can be applied to provide helpful guidance for a wide range of research aiming to optimize mobile device energy efficiency, e.g. transmission scheduling and protocol design in cellular networks.