Demo: Profiling power utilization behaviours of smartwatch applications

• Main Authors: CHAN, Joseph Joo Keng, JIANG, Lingxiao, BALAN, Rajesh Krishna, LEE, Youngki, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Computer Sciences; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3278; https://ink.library.smu.edu.sg/context/sis_research/article/4280/viewcontent/9924105.pdf
• Institution: Singapore Management University

Smartwatches complement the main mobile phone and are able to profile user-activity as well as provide links, updates and notifications with work or personal utilities (e.g. Email, Social Media, Messaging etc.). Although very promising, smartwatches are still limited by low battery life. This is due to the small size of the battery as well as the need to continuously perform sensing. Battery drain issues by apps as well as the system are a common complaint by users. Improved tools for power analysis and profiling of smartwatch apps can help both developers (by providing a platform for pre-release analysis) and users (by advising them on app characteristics prior to installation).