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Energy Aware Database Management

2014
Data center and cloud providers are responsible for providing services such as storage or retrieval for large amounts of (customer owned) data by using databsae management systems (DBMS). Service provision implies a specific quality of service regarding performance or security. Another factor of increasing importance is energy consumption. Although not
Christian Bunse   +4 more
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Energy Aware Algorithmic Engineering

2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems, 2014
In this work, we argue that energy management should be a guiding principle for design and implementation of algorithms. Traditional complexity models for algorithms are simple and do not aid in design of energy-efficient algorithms. In this work, we conducted a large number of experiments to understand energy consumption for algorithms.
Swapnoneel Roy, Atri Rudra, Akshat Verma
openaire   +1 more source

Energy-Aware Robotics

2015
This chapter has a tutorial nature in introducing a number of useful concepts which resulted by reasoning with power ports rather than with signals, as people usually do in control. Arjan is one of the Godfathers in this way of thinking and he has been a pioneer in bringing these concepts to a new level, introducing proper geometry, a sound system ...
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Energy Aware Color Sets

Computer Graphics Forum, 2009
AbstractWe present a design technique for colors with the purpose of lowering the energy consumption of the display device. Our approach is based on a screen space variant energy model. The result of our design is a set of distinguishable iso‐lightness colors guided by perceptual principles. We present two variations of our approach.
Johnson Chuang   +2 more
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Energy-aware resource allocation

2009 10th IEEE/ACM International Conference on Grid Computing, 2009
This paper deals with the reduction of energy consumption in large scale systems, especially by taking into account the impact of energy consumption for server consolidation. Decreasing the number of physical hosts used while ensuring a certain level of quality of services is the goal of our approach.
Damien Borgetto   +3 more
openaire   +1 more source

Energy aware sampling schemes

2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540), 2002
In an effort to conserve energy, mobile hosts wake up periodically to serve incoming traffic. This gives rise to a trade-off between energy consumption and delay. However, the deterministic strategy of current systems might not yield the desired performance.
Pavan Nuggehalli   +3 more
openaire   +1 more source

An Energy-Aware SaaS Stack

2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 2011
We present a multi-agent system on top of the IaaS layer consisting of a scheduler agent and multiple worker agents. Each job is controlled by an autonomous worker agent, which is equipped with application specific knowledge (e.g., performance functions) allowing it to estimate the type and number of necessary resources.
Oliver Niehörster   +2 more
openaire   +1 more source

Ranking Energy-Aware Services

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015
Green computing has the ultimate goal of eliminating technological waste. In the last decade, there has been a dramatic increase in the interest in green computing. One aspect of technological waste is energy consumption. In computing, this includes the energy consumed by both hardware and software.
openaire   +1 more source

Energy-Aware Instruction Scheduling

2000
Energy consumption is increasingly becoming an important metric in designing computing systems. This paper focuses on instruction scheduling algorithms to reduce energy. Our experimentation shows that the best scheduling from the performance perspective is not necessarily the best scheduling from the energy perspective.
Amisha Parikh   +3 more
openaire   +1 more source

Energy-aware Systems and Methods

PIK - Praxis der Informationsverarbeitung und Kommunikation, 2009
Falko Dressler, Frank Bellosa
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