PapersFlow Research Brief
Green IT and Sustainability
Research Guide
What is Green IT and Sustainability?
Green IT and Sustainability is the application of information technology principles to reduce energy consumption, emissions, and environmental impact from devices like smartphones, wireless networks, and information systems.
This field encompasses 40,730 papers focused on energy consumption of mobile devices, power estimation, battery behavior, and ICT emissions. It addresses green IT practices in wireless networks and demand-side management for energy efficiency. Research growth over the last five years is not specified in available data.
Topic Hierarchy
Research Sub-Topics
Smartphone Power Estimation Models
Researchers develop and validate computational models for estimating power consumption in smartphones under varying workloads and usage scenarios. This sub-topic explores hardware sensors, machine learning techniques, and simulation tools for accurate power profiling.
Battery Behavior Characterization
This area investigates lithium-ion battery discharge patterns, aging effects, and thermal behaviors in mobile devices through experimental and modeling approaches. Studies focus on predicting battery lifetime and optimizing charging protocols.
Mobile Cloud Offloading Techniques
Researchers examine partitioning and scheduling algorithms for offloading computation from smartphones to cloud servers to minimize energy use. Key works include frameworks like MAUI and CloneCloud for energy-aware partitioning.
Green Wireless Network Optimization
This sub-topic covers energy-efficient protocols, base station sleep modes, and resource allocation in cellular and Wi-Fi networks serving mobile devices. It addresses spectrum efficiency and network densification impacts on power consumption.
ICT Emissions Accounting Frameworks
Studies develop methodologies for quantifying carbon footprints of information systems, including mobile ecosystems and data centers. Researchers analyze lifecycle assessments and scope-based emission reporting standards.
Why It Matters
Green IT and Sustainability impacts energy systems by optimizing demand-side management, as shown in applications for smart grids and intelligent energy systems. For example, Mohsenian-Rad et al. (2010) in "Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid" (2722 citations) presented a distributed system among users that leverages two-way digital communication to schedule energy use, reducing peak loads in smart grids. Pálenský and Dietrich (2011) in "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads" (2801 citations) highlighted optimizations in energy generation, distribution, and demand, applicable to industrial informatics for lower emissions from ICT infrastructure. Systems like MAUI by Cuervo et al. (2010) (2273 citations) enable energy-aware offloading of mobile code to infrastructure, cutting smartphone battery drain in real-world mobile computing.
Reading Guide
Where to Start
"Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads" by Pálenský and Dietrich (2011) provides an accessible entry on core energy optimization concepts central to Green IT.
Key Papers Explained
Pálenský and Dietrich (2011) in "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads" establishes demand-side foundations, which Mohsenian-Rad et al. (2010) in "Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid" extends to distributed game-theoretic user scheduling. Cuervo et al. (2010) in "MAUI" and Chun et al. (2011) in "CloneCloud" build on this by applying offloading to mobile devices for energy efficiency. Lee and Lee (2015) in "The Internet of Things (IoT): Applications, investments, and challenges for enterprises" connects these to broader IoT sustainability challenges.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Research emphasizes autonomous distributed systems and mobile offloading, as in top-cited works on smart grids and smartphones, with no recent preprints available to indicate shifts.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | White organic light-emitting diodes with fluorescent tube effi... | 2009 | Nature | 3.4K | ✕ |
| 2 | Demand Side Management: Demand Response, Intelligent Energy Sy... | 2011 | IEEE Transactions on I... | 2.8K | ✕ |
| 3 | Autonomous Demand-Side Management Based on Game-Theoretic Ener... | 2010 | IEEE Transactions on S... | 2.7K | ✕ |
| 4 | The Internet of Things (IoT): Applications, investments, and c... | 2015 | Business Horizons | 2.7K | ✕ |
| 5 | MAUI | 2010 | — | 2.3K | ✕ |
| 6 | Current trends in Smart City initiatives: Some stylised facts | 2014 | Cities | 2.2K | ✕ |
| 7 | Micromotives and Macrobehavior. | 1979 | Administrative Science... | 2.0K | ✕ |
| 8 | Wearable Electronics and Smart Textiles: A Critical Review | 2014 | Sensors | 2.0K | ✓ |
| 9 | CloneCloud | 2011 | — | 1.9K | ✕ |
| 10 | A mathematical model of the finding of usability problems | 1993 | — | 1.9K | ✓ |
Frequently Asked Questions
What is demand-side management in Green IT?
Demand-side management optimizes energy use on the consumer side through demand response, intelligent energy systems, and smart loads. Pálenský and Dietrich (2011) in "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads" explained its role in balancing energy systems beyond generation and distribution. It reduces overall ICT emissions by scheduling loads efficiently.
How does MAUI contribute to mobile energy efficiency?
MAUI is a system for fine-grained energy-aware offload of mobile code to infrastructure without heavy programmer support. Cuervo et al. (2010) in "MAUI" demonstrated it avoids coarse-grained full process migration. This lowers energy consumption in smartphones by executing tasks on more efficient servers.
What role does game theory play in smart grid energy scheduling?
Game-theoretic approaches enable autonomous demand-side management among users in smart grids. Mohsenian-Rad et al. (2010) in "Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid" used it for distributed scheduling via two-way communication. It minimizes costs and peaks without central utility control.
How do e-textiles relate to Green IT sustainability?
Wearable electronics and smart textiles integrate flexible electronics into fabrics for energy-efficient applications. Stoppa and Chiolerio (2014) in "Wearable Electronics and Smart Textiles: A Critical Review" noted their intrinsic components reduce size and power needs compared to traditional electronics. They support sustainable ICT in mobile and wearable devices.
What is CloneCloud in mobile sustainability?
CloneCloud offloads mobile application execution to clouds or powerful machines for energy savings. Chun et al. (2011) in "CloneCloud" implemented fine-grained cloning and migration decisions. It addresses battery limitations in smartphones connected to infrastructure.
Open Research Questions
- ? How can game-theoretic scheduling scale to millions of smart grid users without coordination failures?
- ? What are optimal partitioning algorithms for energy-aware mobile code offloading beyond MAUI and CloneCloud?
- ? How do e-textiles achieve long-term battery efficiency in real-world wearable deployments?
- ? What metrics best predict ICT emissions reductions from demand-side management in diverse networks?
- ? How does Poisson-modeled usability testing apply to designing sustainable IT interfaces?
Recent Trends
The field maintains steady output at 40,730 papers with unspecified five-year growth, anchored by high-citation works like Reineke et al. on efficient OLEDs (3405 citations) for low-power displays and Neirotti et al. (2014) on smart city trends (2228 citations) linking IT to urban sustainability, but lacks new preprints or news for recent developments.
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