Evaluating Impact of Storage on Smartphone Energy Efficiency

Oct 4, 20131 like511 views

This document discusses evaluating the impact of storage on smartphone energy efficiency. It first provides background on the large number of smartphone users and apps worldwide, and identifies storage performance and energy consumption as an area for further research. The document then outlines an experimental study that tests different storage configurations on a Nexus One smartphone to measure their impact on power levels. Based on the results, it proposes a pilot storage-aware energy saving solution called SmartStorage that tracks a phone's runtime I/O pattern and dynamically configures storage parameters to match optimal configurations identified during benchmarking. An evaluation shows initial energy savings on the Nexus One from SmartStorage.

Evaluating Impact of Storage
on Smartphone Energy Efficiency
DavidT. Nguyen

LIFE IN MOBILE ERA..
1,038,000,000 SMARTPHONE USERS WORLDWIDE [IBTIMES]
27% INCREASED # SMARTPHONES SOLD ANNUALLY [IDC]
Figure Courtesy: http://www.ideas4ios.com
DavidT. Nguyen 2

SMARTPHONE APPS DO EVERYTHING!
850,000 APPS IN APPLE STORE 05/13 [APPLE]
800,000 APPS IN GOOGLE PLAY 05/13 [CANALYS]
145,000 APPS IN WINDOWS STORE 05/13 [CANALYS]
120,000 APPS IN BLACKBERRY WORLD 05/13 [CANALYS]
Figure Courtesy:
http://aptito.com
DavidT. Nguyen 3

Still BIG Problem
DavidT. Nguyen 4
Figure Courtesy: http://cdn.cultofmac.com

Smartphone Dislikes
DavidT. Nguyen 5
0% 10% 20% 30% 40%
Call Quality
Contact List Import
Excessive Dropped Calls
3G Quality
Screen Size
4G Capability
Battery Life
Source: ChangeWave

Outline
Introduction
Background
Experimental Study
Pilot Solution
Evaluation
DavidT. Nguyen 6

Introduction
 Researching energy consumption essential
 What has been done
◦ Performance bottleneck in storage
[Kim et al., FAST ‘12]
◦ No direct study of storage – energy
consumption correlation
DavidT. Nguyen 7

Introduction
 Thesis Statement
◦ Investigate impact of storage on smartphone
energy efficiency
◦ Explain root reasons of such impact
◦ Develop storage-aware energy saving solutions
 Expected Contributions
◦ Better understanding of storage subsystem and
its impact on energy efficiency
◦ Storage-aware energy saving solutions
DavidT. Nguyen 8

Outline
Introduction
Background
Experimental Study
Pilot Solution
Evaluation
DavidT. Nguyen 9

I/O Path
DavidT. Nguyen 10
Red: Nexus One default static configurations

Outline
Introduction
Background
Experimental Study
Pilot Solution
Evaluation
DavidT. Nguyen 11

Approach
 Investigate impact of different storage
configurations on power levels
1. Run series of benchmarks under default
configurations
2. Repeat benchmarks under different
configurations
3. Compare energy consumptions
DavidT. Nguyen 12

Setup
 Rooted smartphone Nexus One
 8 benchmarks
 Monsoon Power Monitor
DavidT. Nguyen 13

Power Consumption: Default Config.
(Queue Depth 128 / Write-back cache)
DavidT. Nguyen 14
 Different algorithms - different power levels
 No algorithm optimal for all benchmarks
 Changing algorithms may save energy

Power Consumption:
Queue Depth 4
DavidT. Nguyen 15
 Shorter queue depth saves energy in most cases
 Not storage intensive benchmarks consume more
power due to overhead of smaller queue

Optimal Configurations
 Run benchmarks with all combinations of
scheduling algorithms and queue
depths
 Record in benchmark table
DavidT. Nguyen 16

Outline
Introduction
Background
Experimental Study
Pilot Solution
Evaluation
DavidT. Nguyen 17

Big Idea
Track phone’s
run-time I/O
pattern
Match phone’s
pattern with
pattern from
benchmark table
Dynamically
configure
parameters with
optimal savings
DavidT. Nguyen 18

SmartStorage Architecture
DavidT. Nguyen 19

I/O Pattern Matching
 Compare phone’s I/O pattern with patterns from
benchmark table
 Matching feature:
#𝑟𝑒𝑎𝑑𝑠 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 /𝑠𝑒𝑐𝑜𝑛𝑑
#𝑤𝑟𝑖𝑡𝑒𝑠 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 /𝑠𝑒𝑐𝑜𝑛𝑑
 If phone’s rate of reads/writes per second close
to a benchmark from table
◦ match is found
 Else
◦ no match
DavidT. Nguyen 21

Outline
Introduction
Background
Experimental Study
Pilot Solution
Evaluation
DavidT. Nguyen 22

Energy Savings: Nexus One
DavidT. Nguyen 23

Remaining Steps
 Energy savings with different
caching policies / file systems / queue depths
 Matching using machine learning
 Adaptive I/O pattern recalculation
 Root reasons of energy savings
DavidT. Nguyen 24

This document discusses energy consumption in smartphones. It provides background on the growing use of smartphones and their advanced features. It then outlines related work analyzing the energy drawn by smartphone components and identifying areas for improvement. This includes surveys on smartphone energy consumption and papers examining the top energy consumers on mobile phones. The document concludes by discussing monitoring smartphone energy consumption and identifying high energy areas. Further work proposed includes reading new research and implementing energy analysis methods.

Monitoring energy consumption of smartphonesphonecom

��

The document summarizes a system called SEMO (Smart Energy Monitoring System) that monitors and analyzes energy consumption of applications on smartphones. SEMO includes an inspector that checks battery information, a recorder that records battery and application information, and an analyzer that analyzes the recorded data. The prototype was implemented as a Java program for Android smartphones and can view energy consumption histories and rankings of applications based on real-time usage. Testing showed SEMO works well to monitor and analyze relative energy consumption of different applications on smartphones.

Building a low carbon economyAtkins

��

In this presentation, Faithful+Gould's Sean Lockie discusses the main drivers for investing in sustainable building solutions. He cites examples of clients that are benefiting from improvements in energy efficiency, health and safety, and performance. This presentation was originally delivered in October 2013. Read more: http://www.atkinsglobal.com/en-GB/media-centre/events/atkins-lectures/2013/building-a-low-carbon-economy

Falling Renewable Power Generation Costs support the Global 100%RE Campaign's...Michael Taylor

��

Michael Taylor from IRENA analyzes the costs of over 9,000 utility-scale and 200,000 small-scale renewable energy projects. The analysis shows that renewable power generation is increasingly competitive as technology improves and costs reduce. IRENA tracks quarterly indicators of solar PV competitiveness versus electricity rates in North America to inform policymakers and thought leaders, and may lead to more detailed regional analysis. IRENA's cost analysis work now has a dedicated website with free publications, charts, and information to support members and private sector work on renewable energy costs.

Paula PeperCalifornia ReLeaf

��

The document summarizes several tools from the i-Tree software suite for analyzing urban forests. It discusses the i-Tree Eco, Streets, Canopy, Vue, Design, and Species tools, providing information on their functions and capabilities. It also describes a new online Tree Carbon Calculator and notes upcoming improvements including tree population projections and expanded output metrics. Key applications and limitations of each tool are highlighted.

Technology in the classroomtbrown83

��

More and more schools are incorporating technology into classroom lessons to allow for a smoother and more innovative way of teaching students. Common classroom technologies include digital projectors, interactive whiteboards, and student response systems. Over 65% of school districts have data dashboards installed in classrooms and 84% utilize video conferencing for virtual field trips. A teacher discussed how using Minecraft in a lesson engaged students in decision making and explaining their choices. The teacher's first-hand experience showed that using a projector and document camera instead of overhead transparencies saved time and engaged students more through interactive lessons using technologies like clickers.

Arsitektur jaringan-umtsQhyqhy Permatasarii

��

Storage-aware Smartphone Energy SavingsDavid T. Nguyen

��

This document presents the design and evaluation of SmartStorage, a system that dynamically configures smartphone storage parameters to reduce energy consumption. An experimental study showed that changing parameters like scheduling algorithms and queue depths could save up to 40% on certain benchmarks. SmartStorage tracks a phone's I/O pattern at runtime, matches it to patterns from benchmarks to identify optimal parameters, and reconfigures storage accordingly, achieving average savings of 28.8% across the top 20 apps on a Nexus 4. Future work includes exploring different file systems and caching policies for additional savings.

Smart, Energy-Saving Homes: What's Stopping Us?Leonardo ENERGY

��

Smart, energy-saving homes utilise network connectivity, big data and powerful data processing. They can manage and automate services such as lighting, heating/cooling and washing in order to reduce energy consumption and provide load flexibility to the grid. Despite recent gains in building envelope and appliance efficiency, further opportunities remain to improve whole-building system efficiency through smart homes. However, there are significant barriers: • High costs and unclear benefits: smart devices cost more and suffer from a lack of consumer confidence about their benefits. • Privacy, trust and security: consumers are concerned about misuse of data in the cloud, and hacking of data and devices. • Complexity and technology risk: smart homes involve new and complex technologies which many consumers fear may not work as intended and are difficult to operate. Problems of interoperability between new and legacy devices are common and this tends to increase consumer concerns. This webinar will examine these barriers and suggest a number of policy solutions. It is presented by the EDNA Annex (Electronic Devices and Networks Annex - https://edna.iea-4e.org) of the IEA’s 4E Technology Collaboration Programme.

How to Lower Android Power Consumption Without Affecting Performancerickschwar

��

The document discusses various ways mobile app developers can lower the power consumption of their apps without affecting performance. It begins by explaining that most apps do not efficiently use system resources like the processor, cellular radio, and display, wasting power and reducing battery life. It then provides tips for optimizing specific areas of power consumption, such as using the cellular radio efficiently by bundling network traffic, offloading tasks to hardware accelerators like the DSP to reduce CPU usage, and managing the display to minimize brightness. The document stresses that measuring power consumption is key, and provides tools developers can use to profile and optimize the power impact of their apps.

Equota Pitch Deck EN 2015Lucia Shen

��

EQuota is an energy data company that uses big data and cloud-based solutions to help clients in China optimize energy usage and reduce costs. They have completed 3 projects, have 10 employees, and their technology allows them to collect data from existing smart meters to analyze appliance-level usage and identify inefficiencies without additional hardware. In a pilot project with a hotel, EQuota delivered an 8% reduction in energy usage and equivalent carbon emissions through operational and maintenance recommendations identified from disaggregated meter data analysis.

40120140503009IAEME Publication

��

This document summarizes past research on energy management in mobile devices. It discusses how energy management is important for mobile devices due to limited battery size and longevity concerns. It also discusses the need for operating systems to provide energy isolation, delegation, and subdivision to allow applications to better manage energy usage. The document reviews several models for energy management in mobile devices and compares past research that has measured energy consumption of different components like wireless interfaces in smartphones. It identifies a need for further research to develop more accurate energy management techniques.

40120140503009IAEME Publication

��

Shared Solar Smart Micro GridsRCREEE

��

Data Center Power Strategies42U Data Center Solutions

��

Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical. To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm

How Smart Grid overlaps with Energy EfficiencyJim Thayer

��

University of Leeds || Dr Stephen Hall || Valuing Energy FuturesScience: Disrupt

��

Net zero energy and beyondJim Schwartz

��

Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...IBMAsean

��

The document discusses actions that data centers can take to increase responsiveness, reduce costs, and become more environmentally friendly. It outlines five building blocks: diagnose energy usage, build energy efficient infrastructure, optimize cooling, implement virtualization, and continuously measure and manage energy usage. Data centers that follow these principles can achieve 40-50% energy savings, reduce operational costs by $1.3 million per year, and lower their environmental impact by reducing emissions equivalent to 1,300 cars.

Sunwoda Energy Group Presentation 2023-Jen version.pdfHuimin( Jennifer) zhong

��

EN-Sunwoda Energy Solution Co.,Ltd-Presentation.pdf #𝙎𝙪𝙣𝙬𝙤𝙙𝙖 𝙀𝙣𝙚𝙧𝙜𝙮 𝙏𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙮 𝘾𝙤., 𝙇𝙩𝙙（Stock code [300207] ), Asia Battery Giant with 26+ years history, List in China & Swiss Stock market. Global Top 10 lithium-ion battery and world-class manufacturer , 12 production bases with 300GWh capacity, 50,000+ global staffs, 1000+ projects worldwide, ranked 32 in Global new energy enterprises. #𝙒𝙝𝙖𝙩 𝙬𝙚 𝙨𝙪𝙥𝙥𝙡𝙮: Battery cells, Pack, Portable, Residential, C&I , Utility energy storage products & solutions. # 𝘼𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙎𝙘𝙚𝙣𝙖𝙧𝙞𝙤𝙨: Suits for Generation, Distribution, Behind meter 20+ applications # 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙘𝙤𝙣𝙩𝙖𝙘𝙩 & 𝙁𝙧𝙚𝙚 𝙞𝙣𝙦𝙪𝙞𝙧𝙚𝙨: jenniferzhong@sunwoda.com

Commercial rooftop solar 7 15-15Kate Trono

��

10 Things You Need to Know about DAS Small Cell Networks GE Energy Connections

��

Traditional cell towers struggle to meet data demands in dense, urban areas. Distributed antenna systems (DAS) and small cell networks address this by using many low-power nodes to increase capacity over small areas. They provide voice and data to more users in a given space compared to a single macro tower. While DAS uses centralized power and fiber backhaul, small cells have distributed power and connect directly via fiber. Both improve coverage for high-traffic locations like stadiums.

Sgcp13cheungJustin Hayward

��

Douglas Cheung presented on enabling smart cities and communities. He discussed 1) Hitachi's portfolio of smart solutions including information and communication systems and infrastructure systems; 2) case studies of smart community projects in locations like Japan, China, and Hawaii; and 3) Hitachi's proposed approach to smart communities, including developing basic models, expanding target systems, ensuring interoperability and reliability, and providing security. The presentation provided an overview of Hitachi's work on smart grid and smart community projects around the world.

Green ICT��ä��ö��ܲ��

��

Cost and Finance in Off-Grid Accessdanielrsoto

��

This document summarizes research on financing off-grid energy access. It finds that third party financing has increased adoption of technologies like rooftop solar in the US. Pilot projects in Millennium Villages using pay-as-you-go microgrids demonstrated that most customers maintained positive balances over 90% of the time. Data from these projects can provide insights into technical improvements and their costs. The document also discusses the importance of considering reliability versus cost in system design and examines how financing structures and perceived returns affect adoption and payback periods for different technologies.

Green computing 1 1Vaibhav Sawant

��

This document discusses green computing and provides an overview in three paragraphs or less: Green computing involves the environmentally responsible use of computers and related resources through practices like virtualization, power management, efficient algorithms, recycling, and telecommuting. It aims to reduce the negative environmental impacts of computing like greenhouse gas emissions and electronic waste. Approaches to green computing include virtualizing servers to reduce energy usage, improving algorithm efficiency, enabling power management features, using more efficient power supplies and displays, recycling computer components, and allowing telecommuting to decrease transportation impacts. If adopted widely, green computing practices can help address the substantial environmental costs of the growing use of information technology.

Cloud computing for mobile users?Can Offloading computation save energy. . .Krishna Chaitanya

��

Mobile systems have limited resources like battery life. Computation offloading to cloud computing can alleviate these restrictions and provide energy savings. A study was proposed to quantify the amount of energy saved by offloading mobile applications to the cloud based on the speed of cloud/mobile computation and data transmission bandwidth. However, offloading may not always save energy depending on bandwidth availability and assumptions about data transmission. Privacy and security also need consideration with encryption and steganography when offloading to cloud.

Green computers (NIRAJ KUMAR FROM BIHAR)Niraj Kumar

��

How to Configure Restaurants in Odoo 17 Point of SaleCeline George

��

Principle and Practices of Animal Breeding || Boby BasnetBoby Basnet

��

More Related Content

Similar to Evaluating Impact of Storage on Smartphone Energy Efficiency (20)

Smart, Energy-Saving Homes: What's Stopping Us?Leonardo ENERGY

��

How to Lower Android Power Consumption Without Affecting Performancerickschwar

��

Equota Pitch Deck EN 2015Lucia Shen

��

40120140503009IAEME Publication

��

40120140503009IAEME Publication

��

Shared Solar Smart Micro GridsRCREEE

��

Data Center Power Strategies42U Data Center Solutions

��

How Smart Grid overlaps with Energy EfficiencyJim Thayer

��

University of Leeds || Dr Stephen Hall || Valuing Energy FuturesScience: Disrupt

��

Net zero energy and beyondJim Schwartz

��

Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...IBMAsean

��

Sunwoda Energy Group Presentation 2023-Jen version.pdfHuimin( Jennifer) zhong

��

Commercial rooftop solar 7 15-15Kate Trono

��

10 Things You Need to Know about DAS Small Cell Networks GE Energy Connections

��

Sgcp13cheungJustin Hayward

��

Green ICT��ä��ö��ܲ��

��

Cost and Finance in Off-Grid Accessdanielrsoto

��

Green computing 1 1Vaibhav Sawant

��

Cloud computing for mobile users?Can Offloading computation save energy. . .Krishna Chaitanya

��

Green computers (NIRAJ KUMAR FROM BIHAR)Niraj Kumar

��

Smart, Energy-Saving Homes: What's Stopping Us?Leonardo ENERGY

��

How to Lower Android Power Consumption Without Affecting Performancerickschwar

��

Equota Pitch Deck EN 2015Lucia Shen

��

40120140503009IAEME Publication

��

40120140503009IAEME Publication

��

Shared Solar Smart Micro GridsRCREEE

��

Data Center Power Strategies42U Data Center Solutions

��

How Smart Grid overlaps with Energy EfficiencyJim Thayer

��

University of Leeds || Dr Stephen Hall || Valuing Energy FuturesScience: Disrupt

��

Net zero energy and beyondJim Schwartz

��

Green & Beyond: Data Center Actions to Increase Business Responsiveness and R...IBMAsean

��

Sunwoda Energy Group Presentation 2023-Jen version.pdfHuimin( Jennifer) zhong

��

Commercial rooftop solar 7 15-15Kate Trono

��

10 Things You Need to Know about DAS Small Cell Networks GE Energy Connections

��

Sgcp13cheungJustin Hayward

��

Green ICT��ä��ö��ܲ��

��

Cost and Finance in Off-Grid Accessdanielrsoto

��

Green computing 1 1Vaibhav Sawant

��

Cloud computing for mobile users?Can Offloading computation save energy. . .Krishna Chaitanya

��

Green computers (NIRAJ KUMAR FROM BIHAR)Niraj Kumar

��

Recently uploaded (20)

How to Configure Restaurants in Odoo 17 Point of SaleCeline George

��

Principle and Practices of Animal Breeding || Boby BasnetBoby Basnet

��

Modeling-Simple-Equation-Using-Bar-Models.pptxmaribethlacno2

��

Useful environment methods in Odoo 18 - Odoo �ݺ�ߣsCeline George

��

The Battle of Belgrade Road: A WW1 Street Renaming Saga by Amir DotanHistory of Stoke Newington

��

Lesson Plan M1 2024 Lesson Plan M1 2024 Lesson Plan M1 2024 Lesson Plan M1...pinkdvil200

��

How to Manage Putaway Rule in Odoo 17 InventoryCeline George

��

Storytelling instructions...............Alexander Benito

��

CBSE Arabic Grammar - Class 10 ppt.pptxsuhail849886

��

How to Setup WhatsApp in Odoo 17 - Odoo �ݺ�ߣsCeline George

��

The Story Behind the Abney Park Restoration Project by Tom WalkerHistory of Stoke Newington

��

The Constitution, Government and Law making bodies .saanidhyapatel09

��

cervical spine mobilization manual therapy .pdfSamarHosni3

��

EDL 290F Week 3 - Mountaintop Views (2025).pdfLiz Walsh-Trevino

��

Essentials of a Good PMO, presented by Aalok SonawalaAssociation for Project Management

��

APM event hosted by the South Wales and West of England Network (SWWE Network) Speaker: Aalok Sonawala The SWWE Regional Network were very pleased to welcome Aalok Sonawala, Head of PMO, National Programmes, Rider Levett Bucknall on 26 February, to BAWA for our first face to face event of 2025. Aalok is a member of APM’s Thames Valley Regional Network and also speaks to members of APM’s PMO Interest Network, which aims to facilitate collaboration and learning, offer unbiased advice and guidance. Tonight, Aalok planned to discuss the importance of a PMO within project-based organisations, the different types of PMO and their key elements, PMO governance and centres of excellence. PMO’s within an organisation can be centralised, hub and spoke with a central PMO with satellite PMOs globally, or embedded within projects. The appropriate structure will be determined by the specific business needs of the organisation. The PMO sits above PM delivery and the supply chain delivery teams. For further information about the event please click here.

Year 10 The Senior Phase Session 3 Term 1.pptxmansk2

��

How to attach file using upload button Odoo 18Celine George

��

South Hornsey: The Lost Local Authority that Merged with Stoke Newington by T...History of Stoke Newington

��

DUBLIN PROGRAM DUBLIN PROGRAM DUBLIN PROGRAMvlckovar

��

Computer Application in Business (commerce)Sudar Sudar

��

The main objectives 1. To introduce the concept of computer and its various parts. 2. To explain the concept of data base management system and Management information system. 3. To provide insight about networking and basics of internet Recall various terms of computer and its part Understand the meaning of software, operating system, programming language and its features Comparing Data Vs Information and its management system Understanding about various concepts of management information system Explain about networking and elements based on internet 1. Recall the various concepts relating to computer and its various parts 2 Understand the meaning of software’s, operating system etc 3 Understanding the meaning and utility of database management system 4 Evaluate the various aspects of management information system 5 Generating more ideas regarding the use of internet for business purpose

How to Configure Restaurants in Odoo 17 Point of SaleCeline George

��

Principle and Practices of Animal Breeding || Boby BasnetBoby Basnet

��

Modeling-Simple-Equation-Using-Bar-Models.pptxmaribethlacno2

��

Useful environment methods in Odoo 18 - Odoo �ݺ�ߣsCeline George

��

The Battle of Belgrade Road: A WW1 Street Renaming Saga by Amir DotanHistory of Stoke Newington

��

Lesson Plan M1 2024 Lesson Plan M1 2024 Lesson Plan M1 2024 Lesson Plan M1...pinkdvil200

��

How to Manage Putaway Rule in Odoo 17 InventoryCeline George

��

Storytelling instructions...............Alexander Benito

��

CBSE Arabic Grammar - Class 10 ppt.pptxsuhail849886

��

How to Setup WhatsApp in Odoo 17 - Odoo �ݺ�ߣsCeline George

��

The Story Behind the Abney Park Restoration Project by Tom WalkerHistory of Stoke Newington

��

The Constitution, Government and Law making bodies .saanidhyapatel09

��

cervical spine mobilization manual therapy .pdfSamarHosni3

��

EDL 290F Week 3 - Mountaintop Views (2025).pdfLiz Walsh-Trevino

��

Essentials of a Good PMO, presented by Aalok SonawalaAssociation for Project Management

��

Year 10 The Senior Phase Session 3 Term 1.pptxmansk2

��

How to attach file using upload button Odoo 18Celine George

��

South Hornsey: The Lost Local Authority that Merged with Stoke Newington by T...History of Stoke Newington

��

DUBLIN PROGRAM DUBLIN PROGRAM DUBLIN PROGRAMvlckovar

��

Computer Application in Business (commerce)Sudar Sudar

��

Evaluating Impact of Storage on Smartphone Energy Efficiency

1. Evaluating Impact of Storage on Smartphone Energy Efficiency DavidT. Nguyen

2. LIFE IN MOBILE ERA.. 1,038,000,000 SMARTPHONE USERS WORLDWIDE [IBTIMES] 27% INCREASED # SMARTPHONES SOLD ANNUALLY [IDC] Figure Courtesy: http://www.ideas4ios.com DavidT. Nguyen 2

3. SMARTPHONE APPS DO EVERYTHING! 850,000 APPS IN APPLE STORE 05/13 [APPLE] 800,000 APPS IN GOOGLE PLAY 05/13 [CANALYS] 145,000 APPS IN WINDOWS STORE 05/13 [CANALYS] 120,000 APPS IN BLACKBERRY WORLD 05/13 [CANALYS] Figure Courtesy: http://aptito.com DavidT. Nguyen 3

4. Still BIG Problem DavidT. Nguyen 4 Figure Courtesy: http://cdn.cultofmac.com

5. Smartphone Dislikes DavidT. Nguyen 5 0% 10% 20% 30% 40% Call Quality Contact List Import Excessive Dropped Calls 3G Quality Screen Size 4G Capability Battery Life Source: ChangeWave

6. Outline Introduction Background Experimental Study Pilot Solution Evaluation DavidT. Nguyen 6

7. Introduction  Researching energy consumption essential  What has been done ◦ Performance bottleneck in storage [Kim et al., FAST ‘12] ◦ No direct study of storage – energy consumption correlation DavidT. Nguyen 7

8. Introduction  Thesis Statement ◦ Investigate impact of storage on smartphone energy efficiency ◦ Explain root reasons of such impact ◦ Develop storage-aware energy saving solutions  Expected Contributions ◦ Better understanding of storage subsystem and its impact on energy efficiency ◦ Storage-aware energy saving solutions DavidT. Nguyen 8

9. Outline Introduction Background Experimental Study Pilot Solution Evaluation DavidT. Nguyen 9

10. I/O Path DavidT. Nguyen 10 Red: Nexus One default static configurations

11. Outline Introduction Background Experimental Study Pilot Solution Evaluation DavidT. Nguyen 11

12. Approach  Investigate impact of different storage configurations on power levels 1. Run series of benchmarks under default configurations 2. Repeat benchmarks under different configurations 3. Compare energy consumptions DavidT. Nguyen 12

13. Setup  Rooted smartphone Nexus One  8 benchmarks  Monsoon Power Monitor DavidT. Nguyen 13

14. Power Consumption: Default Config. (Queue Depth 128 / Write-back cache) DavidT. Nguyen 14  Different algorithms - different power levels  No algorithm optimal for all benchmarks  Changing algorithms may save energy

15. Power Consumption: Queue Depth 4 DavidT. Nguyen 15  Shorter queue depth saves energy in most cases  Not storage intensive benchmarks consume more power due to overhead of smaller queue

16. Optimal Configurations  Run benchmarks with all combinations of scheduling algorithms and queue depths  Record in benchmark table DavidT. Nguyen 16

17. Outline Introduction Background Experimental Study Pilot Solution Evaluation DavidT. Nguyen 17

18. Big Idea Track phone’s run-time I/O pattern Match phone’s pattern with pattern from benchmark table Dynamically configure parameters with optimal savings DavidT. Nguyen 18

19. SmartStorage Architecture DavidT. Nguyen 19

20. GUI DavidT. Nguyen 20

21. I/O Pattern Matching  Compare phone’s I/O pattern with patterns from benchmark table  Matching feature: #𝑟𝑒𝑎𝑑𝑠 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 /𝑠𝑒𝑐𝑜𝑛𝑑 #𝑤𝑟𝑖𝑡𝑒𝑠 𝑐𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 /𝑠𝑒𝑐𝑜𝑛𝑑  If phone’s rate of reads/writes per second close to a benchmark from table ◦ match is found  Else ◦ no match DavidT. Nguyen 21

22. Outline Introduction Background Experimental Study Pilot Solution Evaluation DavidT. Nguyen 22

23. Energy Savings: Nexus One DavidT. Nguyen 23

24. Remaining Steps  Energy savings with different caching policies / file systems / queue depths  Matching using machine learning  Adaptive I/O pattern recalculation  Root reasons of energy savings DavidT. Nguyen 24

25. THANKYOU! DavidT. Nguyen 25

�ݺ�ߣ

Evaluating Impact of Storage on Smartphone Energy Efficiency

Recommended

More Related Content

Similar to Evaluating Impact of Storage on Smartphone Energy Efficiency (20)

Recently uploaded (20)

Evaluating Impact of Storage on Smartphone Energy Efficiency