A new energy management approach for user-centric applications (original) (raw)

Towards Power Consumption Reduction by User Behavior Monitoring at Application level

2010

This paper gives an overview about our ongoing research which aims at adaptive power consumption optimization in enterprise systems where cost for operating the cooling systems has almost reached near server operating cost. Our methodology focuses at application level. This level can best describe user applications dependence on the underlying system and can play an effective role in power management decisions. We will also present our initial level experimentation which can set a solid base for our research.

A user-centric system architecture for residential energy consumption reduction

2014 IEEE Online Conference on Green Communications (OnlineGreenComm), 2014

Long-term energy consumption reduction can be achieved more readily through sensible cooperation between end users and technological advancements. The DANCER project presented here proposes a user-centric residential energy management system, with the intention to achieve long-term energy related behavioural changes, thus improving the energy efficiency of modern homes. Although, it follows the same basic principles as other contemporary approaches, it focuses on minimizing the interaction of the user with the system. This is achieved through an improved feedback mechanism and a generic, policy based service that takes advantage of the modularity and generality of the software architecture. The proposed system is designed to support a variety of technologies (WiFi, Zigbee, X10), in order to ameliorate the input and output of the decision making operation. In this paper, the general outline of the DANCER system architecture and its most important components are discussed and the prototype test-bed is presented. Special consideration is given to the implementation, operation and response behaviour of the prototype.

Energy@home: a “User-Centric” Energy Management System

This article describes the Energy@home project, an Italian initiative of ENEL, Electrolux, Indesit and Telecom Italia aimed at enhancing the energy efficiency of the entire home system. The project envisions a communications infrastructure that enables provisioning of value-added services based on information exchange related to energy usage, energy consumption and energy tariffs in the home area network (HAN).

EnergyAware Mobile-based Architecture for Maximizing Energy Savings during Computer Idle Times

Energy consumption of computers in office buildings remains an issue of concern for companies. For example, for a university campus, they might represent between 50% and 80% of all the power consumed. Besides that, computer usage behavior sometimes makes the application of energy saving policies a difficult task, as many users prefer not to be annoyed by waiting for computers to wake up. We present in this paper a novel software architecture to enable dynamic and static appliance of energy saving policies in office computers while observing and taking into account user behavior. The key is taking advantage of idle periods for the computers and the localization of the user to determine when to turn Off or On the PC and maximize the savings. We ran a study at our campus where we found that idle periods represented between 30% and 50% of the On periods. We simulated the savings for our policies and could potentially achieve savings between 32% and 38% of current power consumption numbers. With even more tuning, we believe savings could be higher and similar techniques could be used for other devices in buildings.

A Low-Cost Energy Management System That Compares Power Consumption of Electronic Home Appliances

IOSR Journal of Engineering, 2012

The main objective of the proposed system is to compare the power consumption of any electrical appliances both domestic and industrial. Here we propose a system that is cost effective by minimal system integration to achieve the goal. A typical HEMS just shows the energy consumption of the hole home and home appliances. Users cannot figure-out how efficient a home appliance is to that of others. So it is necessary to compare the energy usage of the home appliances to that of the same kinds of home appliances. In this paper we propose a low-cost EMS with minimal system integration based on energy comparison

USEM: A ubiquitous smart energy management system for residential homes

2014

With the ever-increasing worldwide demand for energy, and the limited available energy resources, there is a growing need to reduce our energy consumption whenever possible. Therefore, over the past few decades a range of technologies have been proposed to assist consumers with reducing their energy use. Most of these have focused on decreasing energy consumption in the industry, transport, and services sectors. In more recent years, however, growing attention has been given to energy use in the residential sector, which accounts for nearly 30% of total energy consumption in the developed countries. Here we present one such system, which aims to assist residential users with monitoring their energy usage and provides mechanisms for setting up and controlling their home appliances to conserve energy. We also describe a user study we have conducted to evaluate the effectiveness of this system in supporting its users with a range of tools and visualizations developed for ubiquitous devices such as mobile phones and tablets. The findings of this study have shown the potential benefits of our system, and have identified areas of improvement that need to be addressed in the future.

Smart Devices for Demand Side Power Consumption Management

AASRI Procedia, 2012

Demand side power consumption management will become increasingly important in the near future, as power networks move from a "consumption-oriented generation" to a "generation-oriented consumption" paradigm. This requires decision making capabilities at the demand side for deciding how much power will be consumed, when energy prices fluctuate or demand responses are requested. The goal of this research is to develop a generic system which enables individual devices to autonomously determine their power consumption. The proposed system for smart devices is based on the concept of intelligent products, in which decision making agents provide intelligence to individual devices, turning them into smart devices capable of managing their power consumption. The evaluation demonstrates the feasibility and usefulness of the proposed system.

A pervasive network architecture featuring intelligent energy management of households

Proceedings of the 1st ACM international conference on PErvasive Technologies Related to Assistive Environments - PETRA '08, 2008

As the problem of energy generation and use becomes apparent, technologies for optimal energy management and rational use gain importance. The present work illustrates an architecture that focuses on energy saving at households, a sector accounting for the 42% of global energy consumption in the European Union. The main part of the architecture is provided by an optimized residential gateway, which bears appropriate home network interfaces and service logic to allow users perform personalized, pervasive programming of the energy consumption of home devices, such as white goods, home communication equipment and audiovisual equipment by enabling real time monitoring of energy consumption in both active and stand-by modes.

Energy Efficient Operating Systems and Software

Energy efficient system design is becoming increasingly important with the proliferation of portable, battery-operated appliances such as laptops, Personal Digital Assistants (PDAs) and cellular phones. Numerous dedicated hardware approaches for energy minimization have been proposed while software energy efficiency has been relatively unexplored. Since it is the software that drives the hardware, decisions taken during software design can have a significant impact on system energy consumption. This thesis explores avenues for improving system energy efficiency from application level to the operating system level. The embedded operating system can have a significant impact on system energy by performing dynamic power management both in the active and passive states of the device. Software controlled active power management techniques using dynamic voltage and frequency scaling have been explored. Efficient workload prediction strategies have been developed that enable just-in-time computation. An algorithm for efficient realtime operating system task scheduling has also been developed that minimizes energy consumption. Portable systems spend a lot of time in sleep mode. Idle power management strategies have been developed that consider the effect of leakage and duty-cycle on system lifetime. A hierarchical shutdown approach for systems characterized multiple sleep states has been proposed. Although the proposed techniques are quite general, their applicability and utility have been demonstrated using the MIT µAMPS wireless sensor node an example system wherever possible. To quantify software energy consumption, an estimation framework has been developed based on experiments on the StrongARM and Hitachi processors. The software energy profiling tool is available on-line. Finally, in energy constrained systems, we would like to have the ability to trade-off quality of service for extended battery life. A scalable approach to application development has been demonstrated that allows energy quality trade-offs.

E-MOS : Efficient Energy Management Policies in Operating Systems

2015

Current Linux Operating Systems’ power governors do not provide a fine-grained control and management over the energy utilized by the applications running on a computing system. Linux power governors by default use ondemand CPU frequency governor or Intel’s P-state driver for power management by considering the entire system load rather than individual application requirements. This system-wide and default kernel policy could have undesirable effects on OS power management and could lead to poor battery life and performance for modern CPUs. In this project, we first provide an overview of the difficulties in existing Linux Operating System power management and we explore the opportunities that application characterization presents for more efficient energy management solutions. We present E-MOS (Efficient Energy Management Policies in Operating Systems), an energy management model which uses applications’ characteristics to make frequency scaling policy decisions in order to achieve...