WakeScope: Runtime WakeLock anomaly management scheme for Android platform

Kim, Kwang-Hwan; Cha, Hojung

doi:10.1109/emsoft.2013.6658605

Cited by 11 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pathak presents a dataflow analysis algorithm to detect software bugs but this is not runtime solution and [11] [17]. Author of [4] proposed an application which just detects wakelock bugs and notify to the user also kernel recompilation is required which may cause performance penalty. The same concept is followed by one more researcher [3].…”

Section: Related Workmentioning

confidence: 99%

Reducing power consumption of smart device by proper management of Wakelocks

Patil¹,

Doshi²,

Ambawade³

2015

2015 IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

Smart devices offer plenty of applications which are very power consuming. Number of applications running on smart devices and users are increasing day by day, but battery capacity is not improving with the same pace. This paper describes the implementation of android based Wakelock Tracking and Releasing System (WTRS) that can be used for reducing power consumption on android devices. The WTRS system detects improper behavior of buggy wakelock and releases them in real time environment. The main aim of the work presented is to highlight how power consumption can be reduced in smart device. The key concept of WTRS system is described with the analysis of power consumption and resource utilization on android device. The WTRS system is develop on android operating system by using JAVA programming language. Experiments are performed on android device which shows reduction in power consumption maximum up to 62%.

show abstract

Section: Related Workmentioning

confidence: 99%

Reducing power consumption of smart device by proper management of Wakelocks

Patil¹,

Doshi²,

Ambawade³

2015

2015 IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

show abstract

“…The proposed system traces interactions, including keyboard activity, touch, scroll, click/long click, as well as Activity transition. Meanwhile, a common Android system behavior that influences resource efficiency is wakelock [6][7][8]. Our system traces the wakelock operation to analyze and improve its usage.…”

Section: Framework Levelmentioning

confidence: 99%

“…Recently, several profiling tools [6][7][8][9][10][11][23][24][25][26][27][28][29] for monitoring device behavior or application behavior have been proposed. They monitor some of the intrinsic issues that are difficult to analyze for other problems than those identifiable on the source code.…”

Section: Introductionmentioning

confidence: 99%

User interaction-based profiling system for Android application tuning

Lee

Yoon

Cha

2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Self Cite

View full text Add to dashboard Cite

Quality improvement in mobile applications should be based on the consideration of several factors, such as users' diversity in spatio-temporal usage, as well as the device's resource usage, including battery life. Although application tuning should consider this practical issue, it is difficult to ensure the success of this process during the development stage due to the lack of information about application usage. This paper proposes a user interaction-based profiling system to overcome the limitations of development-level application debugging. In our system, the analysis of both device behavior and energy consumption is possible with fine-grained process-level application monitoring. By providing fine-grained information, including user interaction, system behavior, and power consumption, our system provides meaningful analysis for application tuning. The proposed method does not require the source code of the application and uses a web-based framework so that users can easily provide their usage data. Our case study with a few popular applications demonstrates that the proposed system is practical and useful for application tuning.

show abstract

“…Moreover, based on large packet traces collected from a commercial cellular carrier, it has been observed that periodic transfers, where a mobile device periodically exchanges some data with a remote server, account for only a small portion of the overall network traffic but contribute significantly to the total radio energy consumption [9]. While some attention has focused on finding solutions, e.g., [4,8,14], the major sources of unperceived activities remain to be identified and their individual impact on energy dissipationhasyettobestudied.…”

Section: Introductionmentioning

confidence: 99%

“…This new programming paradigm gives rise to nosleep bugs [8], which will keep smartphones awake. Motivated by the observation, diagnostic tools were developed to automatically detect no-sleep bugs in immature apps at compile time [8] and runtime [4], respectively. Apart from no-sleep bugs, email sync, which will cause normal background activities, can also shorten the standby time of a smartphone by 40% due to the long 3G tail time [14].…”

Section: Introductionmentioning

confidence: 99%

Energy stealing - an exploration into unperceived activities on mobile systems

Lin

Chang

Hsiu

et al. 2015

2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)

View full text Add to dashboard Cite

Understanding the implications in smartphone usage and the power breakdown among hardware components has led to various energy-efficient designs for mobile systems. While energy consumption has been extensively explored, one critical dimension is often overlooked -unperceived activities that could steal a significant amount of energy behind users' back potentially. In this paper, we conduct the first exploration of unperceived activities in mobile systems. Specifically, we design a series of experiments to reveal, characterize, and analyze unperceived activities invoked by popular resident applications when an Android smartphone is left unused. We draw possible solutions inspired by the exploration and demonstrate that even an immediate remedy can mitigate energy dissipation to some extent.

show abstract

WakeScope: Runtime WakeLock anomaly management scheme for Android platform

Cited by 11 publications

References 4 publications

Reducing power consumption of smart device by proper management of Wakelocks

Reducing power consumption of smart device by proper management of Wakelocks

User interaction-based profiling system for Android application tuning

Energy stealing - an exploration into unperceived activities on mobile systems

Contact Info

Product

Resources

About