Abstract—The purpose of this research paper is to look at the energy and power consumption by mobile processors.
How size of the processors affect energy consumption levels. Study how mobile processors have developed over the years, growth of mobile functionalities and the impacts on the end users. We present comparison of different brands of the mobile processors and analysis breakdown of processors usage and energy and consumption. In recent years, hardware architects have found multicore processors the way to achieve better performance with lower power consumption. We will identify how hardware developers have managed to take advantages of current technologies and construct mobile processors that enable mobile devices to perform high performance such in modern days with relatively low energy and power consumption.
Index Terms—Keywords should be taken from the taxonomy (https://www.computer.org/cms/Computer.org/peer-review/docs/taxonomy.pdf). Keywords should closely reflect the topic and should optimally characterize the paper. Use about four key words or phrases in alphabetical order, separated by commas (there should not be a period at the end of the index terms) xxxx-xxxx/0x/$xx.
00 © 200x IEEE Published by the IEEE Computer Society————————————————F.A. Author is with the National Institute of Standards and Technology, Boulder, CO 80305. E-mail: [email protected] boulder.
nist.gov.S.B. Author Jr. is with the Department of Physics, Colorado State University, Fort Collins, CO 80523.
E-mail: [email protected] Author is with the Electrical Engineering Department, University of Colorado, Boulder, CO 80309. On leave from the National Research Institute for Metals, Tsukuba, Japan E-mail: [email protected]
jp.***Please provide a complete mailing address for each author, as this is the address the 10 complimentary reprints of your paper will be sentPlease note that all acknowledgments should be placed at the end of the paper, before the bibliography (note that corresponding authorship is not noted in affiliation box, but in acknowledgment section).—————————— ? ——————————1 IntroductionHandheld devices like cellular phones and PDA (personal digital assistance) have been growing in terms technology and demand since the first one was developed back in 1973 by a company called Motorola. The first handheld phone was, in comparison to what is considered large today, is huge as well heavy; weighing in over 1kg and having 30 minutes of talk-time, six hours standby, and could store 30 phones numbers. It also cost £2639. These features seem very minimal compared to the technology that is being used today.
For example the Iphone X size fits into a hand, weighs 174 grams, 21 hours of talk time, over 48 hours standby time and with near unlimited amount of features and customisation. The reason was due to technology at the time but now there is a new problem that has popped up. It is how mobile processors are getting smaller and more energy efficient but in reality this is not the case. This research paper will look at the development of mobile processors and how they are linked to energy consumption and efficiency with current and future mobile devices as well as review the methods that are being used in the creation of more safe and energy efficient mobiles.2 RELATED WORK OR LITERATURE REVIEW2.1 Review Stage 1Power and energy consumption of mobile processorsToday’s device processors are the result of the generational microarchitectural enhancements, memory hierarchy growth, clock frequency increases and multicore scaling. Mobile processors are part of the innovation, having embraced these architecture features in pursuit of top performance. For the purpose of this research paper, we measure the impact on performance, power and energy on some of the most used processors in the mobile phones released from 2010 to 2017.
An import aspect of conducting this study is selecting the the right “sample” to study. Our research paper focuses on the mobile processors released between 2010 and 2017.Fig 1: Mobile processors overview released from 2010Figure 1 is in an overview of the major processors families that has been released from 2010.
The specifications have evolved significantly over time to prove mobile phone capabilities and functionalities to satisfy end users. However, such performance enhancements have resulted in excessively high power consumption.Fig 2: Device Minimum Screen-on powerFigure 2 shows the power consumption on some of android devices has been released in recent years. The table represents important power value that is unavoidable constant drain of energy whenever the actively being used.https://www.usenix.
uk/tech-reports/NCL-EEE-MICRO-TR-2015-197.pdf2.2 Review Stage 2 (lit review stage?)The mobile industry is experiencing huge growth world wide with around 7 billion subscribers and an ever-growing demand for data traffic.
With this huge use and growth of mobile usage one would assume that the network and mobile device itself would be efficient but this is not the case. Both base stations and smartphones regularly waste 70% of energy consumed as heat. This is due to outdated technology that was developed during 1930s. The European Union has funded a project called GreenNets that has been developed specifically for the solution of mobile networks to cutting energy costs and reduce Co2 emissions. They do this by creating an automated network management software tool that continually adapts network activity during quiet periods, saving energy. They also found out ways to evaluate mobile network efficiency. For example the graph above shows the daily traffic of mobile devices within specific zones as well as a huge decrease in traffic during the weekends that can be used to evaluate periods of times to reduce power consumption of the mobile network therefore reducing Co2 emissions and running cost to the company without compromising the quality of service for the end users.
To implement this it would simply be a functional extension of the mobile phone providers already existing which would lead to no investment into new hardware or technology. If working this technology could and would improve energy efficiency substantially but there are to many variables that can affect the network management tools monitoring. For example factoring in the size of the network the tool would have to monitor would be constantly shifting due to ever growing consumption as well as unforeseen interruptions ‘65% of communications interruptions are caused by power supply failures and 85% of them are discovered after more than 12 hours, due largely to customer complaints.’ Increasing energy efficiency in mobile networks. (2014). Retrieved from https://ec.
europa.eu/programmes/horizon2020/en/news/increasing-energy-efficiency-mobile-networks. This interruptions could be mistaken as traffic decrease and could lead to the wrong power output causing even more disruptions in the network.