1. Profiling energy efficiency and data communications for mobile Internet of Things
- Author
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Victor C. M. Leung, Xiping Hu, Peramanathan Sathyamoorthy, and Edith C.-H. Ngai
- Subjects
Power management ,Article Subject ,Computer Networks and Communications ,Computer science ,Cloud computing ,02 engineering and technology ,Communications system ,lcsh:Technology ,lcsh:Telecommunication ,lcsh:TK5101-6720 ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Orchestration (computing) ,Electrical and Electronic Engineering ,Profiling (computer programming) ,lcsh:T ,business.industry ,Communication Systems ,020206 networking & telecommunications ,Energy consumption ,Asynchronous communication ,Embedded system ,business ,Kommunikationssystem ,Information Systems ,Efficient energy use - Abstract
This paper proposes a novel power management solution for resource-constrained devices in the context of Internet of Things (IoT). We focus on smartphones in the IoT, as they are getting increasingly popular and equipped with strong sensing capabilities. Smartphones have complex and asynchronous power consumption incurred by heterogeneous components including their on-board sensors. Their interaction with the cloud allows them to offload computation tasks and access remote data storage. In this work, we aim at monitoring the power consumption behaviours of the smartphones, profiling both individual applications and the system as a whole, to make better decisions in power management. We design a cloud orchestration architecture as an epic predictor of behaviours of smart devices by extracting their application characteristics and resource utilization. We design and implement this architecture to perform energy profiling and data analysis on massive data logs. This cloud orchestration architecture coordinates a number of cloud-based services and supports dynamic workflows between service components, which can reduce energy consumption in the energy profiling process itself. Experimental results showed that small portion of applications dominate the energy consumption of smartphones. Heuristic profiling can effectively reduce energy consumption in data logging and communications without scarifying the accuracy of power monitoring.
- Published
- 2017