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Smartphone Energy Consumption

Author : Sasu Tarkoma
Publisher : Cambridge University Press
Page : 353 pages
File Size : 15,45 MB
Release : 2014-08-07
Category : Computers
ISBN : 110704233X

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Get the key measurement, modeling, and analytical tools for developing energy-aware and efficient systems and applications with this practical guide.

Smartphone Energy Consumption

Author : Sasu Tarkoma
Publisher : Cambridge University Press
Page : 353 pages
File Size : 49,8 MB
Release : 2014-08-07
Category : Technology & Engineering
ISBN : 1139992732

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With an ever-increasing number of applications available for mobile devices, battery life is becoming a critical factor in user satisfaction. This practical guide provides you with the key measurement, modeling, and analytical tools needed to optimize battery life by developing energy-aware and energy-efficient systems and applications. As well as the necessary theoretical background and results of the field, this hands-on book also provides real-world examples, practical guidance on assessing and optimizing energy consumption, and details of prototypes and possible future trends. Uniquely, you will learn about energy optimization of both hardware and software in one book, enabling you to get the most from the available battery power. Covering experimental system design and implementation, the book supports assignment-based courses with a laboratory component, making it an ideal textbook for graduate students. It is also a perfect guidebook for software engineers and systems architects working in industry.

Assessing the Energy Consumption of Smartphone Applications

Author : Mustafa M. Abousaleh
Publisher :
Page : pages
File Size : 37,42 MB
Release : 2013
Category :
ISBN :

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Mobile devices are increasingly becoming essential in people's lives. The advancement in technology and mobility factor are allowing users to utilize mobile devices for communication, entertainment, financial planning, fitness tracking, etc. As a result, mobile applications are also becoming important factors contributing to user utility. However, battery capacity is the limiting factor impacting the quality of user experience. Hence, it is imperative to understand how much energy impact do mobile apps have on the system relative to other device activities. This thesis presents a systematic studying of the energy impact of mobile apps features. Time-series electrical current measurements are collected from 4 different modern smartphones. Statistical analysis methodologies are used to calculate the energy impact of each app feature by identifying and extracting mobile app-feature events from the overall current signal. In addition, the app overhead energy costs are also computed. Total energy consumption equations for each component is developed and an overall total energy consumption equation is presented. Minutes Lost (ML) of normal phone operations due to the energy consumption of the mobile app functionality is computed for cases where the mobile app is simulated to run on the various devices for 30 minutes. Tutela Technologies Inc. mobile app, NAT, is used for this study. NAT has two main features: QoS and Throughput. The impact of the QoS feature is indistinguishable, i.e. ML is zero, relative to other phone activities. The ML with only the TP feature enabled is on average 2.1 minutes. Enabling the GPS increases the ML on average to 11.5 minutes. Displaying the app GUI interface in addition to running the app features and enabling the GPS results in an average ML of 12.4 minutes. Amongst the various mobile app features and components studied, the GPS consumes the highest amount of energy. It is estimated that the GPS increases the ML by about 448%.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
Page : 504 pages
File Size : 40,34 MB
Release : 2019-12-16
Category : Computers
ISBN : 1492052019

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Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Computer Applications for Security, Control and System Engineering

Author : Tai-hoon Kim
Publisher : Springer
Page : 505 pages
File Size : 39,73 MB
Release : 2012-11-07
Category : Computers
ISBN : 3642352642

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This book constitutes the refereed proceedings of the International Conferences on Security Technology, SecTech 2012, on Control and Automation, CA 2012, and CES-CUBE 2012, the International Conference on Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation; all held in conjunction with GST 2012 on Jeju Island, Korea, in November/December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of security technology, and control and automation, and circuits, control, communication, electricity, electronics, energy, system, signal and simulation.

Powering the Dream

Author : Alexis Madrigal
Publisher : Da Capo Press
Page : 386 pages
File Size : 11,69 MB
Release : 2011-03-29
Category : Science
ISBN : 0306819775

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Few today realize that electric cabs dominated Manhattan's streets in the 1890s; that Boise, Idaho, had a geothermal heating system in 1910; or that the first megawatt turbine in the world was built in 1941 by the son of publishing magnate G. P. Putnam -- a feat that would not be duplicated for another forty years. Likewise, while many remember the oil embargo of the 1970s, few are aware that it led to a corresponding explosion in green-technology research that was only derailed when energy prices later dropped. In other words: We've been here before. Although we may have failed, America has had the chance to put our world on a more sustainable path. Americans have, in fact, been inventing green for more than a century. Half compendium of lost opportunities, half hopeful look toward the future, Powering the Dream tells the stories of the brilliant, often irascible inventors who foresaw our current problems, tried to invent cheap and energy renewable solutions, and drew the blueprint for a green future.

2019 IEEE ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS RT)

Author : IEEE Staff
Publisher :
Page : pages
File Size : 33,95 MB
Release : 2019-10-07
Category :
ISBN : 9781728129242

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DS RT 2019 serves as a forum for simulationists from academia, industry and research labs, for presenting recent research results in Distributed Simulation and Real Time Applications DS RT 2019 targets the growing overlap between large distributed simulations and real time applications, such as such as mirror world simulations and collaborative virtual environments The conference features prominent invited speakers as well as papers by top researchers in the field DS RT 2019 will include contributed technical papers, invited papers, and panel discussions

Power-Aware Computer Systems

Author : Babak Falsafi
Publisher : Springer
Page : 224 pages
File Size : 18,24 MB
Release : 2004-12-07
Category : Technology & Engineering
ISBN : 3540286411

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Welcome to the proceedings of the 3rd Power-Aware Computer Systems (PACS 2003) Workshop held in conjunction with the 36th Annual International Symposium on Microarchitecture (MICRO-36). The increase in power and - ergy dissipation in computer systems has begun to limit performance and has also resulted in higher cost and lower reliability. The increase also implies - ducedbatterylifeinportablesystems.Becauseofthemagnitudeoftheproblem, alllevelsofcomputersystems,includingcircuits,architectures,andsoftware,are being employed to address power and energy issues. PACS 2003 was the third workshop in its series to explore power- and energy-awareness at all levels of computer systems and brought together experts from academia and industry. These proceedings include 14 research papers, selected from 43 submissions, spanningawidespectrumofareasinpower-awaresystems.Wehavegrouped the papers into the following categories: (1) compilers, (2) embedded systems, (3) microarchitectures, and (4) cache and memory systems. The ?rst paper on compiler techniques proposes pointer reuse analysis that is biased by runtime information (i.e., the targets of pointers are determined based on the likelihood of their occurrence at runtime) to map accesses to ener- e?cient memory access paths (e.g., avoid tag match). Another paper proposes compiling multiple programs together so that disk accesses across the programs can be synchronized to achieve longer sleep times in disks than if the programs are optimized separately.

Evaluating Learning Algorithms

Author : Nathalie Japkowicz
Publisher : Cambridge University Press
Page : 423 pages
File Size : 48,3 MB
Release : 2011-01-17
Category : Computers
ISBN : 1139494147

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The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.

Measurement and Reduction of Power Consumption in Mobile Phones

Author : Jonathan Adam Lawton
Publisher :
Page : pages
File Size : 42,51 MB
Release : 2012
Category :
ISBN : 9781267968746

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In recent years, consumer adoption of smartphones has been rising rapidly, increasing the demand for high performance mobile devices with long battery life. While the capabilities of mobile systems-on-chip have scaled impressively, battery technology has seen only a modest improvement. In order to address this gap, new power management schemes are needed for the mobile environment. This work proposes adding real-time hardware power measurement to smartphones in order to enable more advanced power management algorithms. The theoretical basis and power cost of making system-level power measurements is explored, an actual power measurement system implemented and characterized, and a number of power management algorithms implemented and evaluated. It is found that a suitable power measurement system could consume as little as 4 [mu]W based on theoretical limits, and that real time power data can be used to control system clock rate to adhere to target power consumption.