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Recent research has shown that maintainability improving activities, such as removing code smells using recommended refactoring activities, may degrade the energy consumption behavior of software systems. However, current research is still immature and requires considerable effort for transferring findings to practice. This work empirically investigates the impact of eliminating a set of three notorious...
On the fast actual demographic trend and increasing comfort level, consumers are becoming more and more demanding in the areas of heating, cooling, ventilation, air conditioning, and lighting. Heating, Ventilating and Air Conditioning (HVAC) is one of most studied systems in energy efficient buildings within the aim to keep occupants' comfort with desired temperature ranges, a suitable level of humidity,...
Multihop networking is promoted in this paper for energy-efficient and highly-scalable Internet of Things (IoT). Recognizing concerns related to the scalability of classical multihop routing and medium access techniques, the use of blind cooperation in conjunction with multihop communications is advocated herewith. Blind cooperation however is actually shown to be inefficient unless power control...
With recognizing power as a first-class citizen in the HPC community and the growth of software running on battery-driven devices, the need to evaluate software design based on the combined effects of energy and performance has become eminent. Despite of the numerous metrics to evaluate software performance, the study on how to evaluate software energy efficiency is still in its early stage. In this...
Data centers are notorious energy consumers. In fact, studies have shown that for every $1 spent on hardware in the datacenter, $0.50 is spent on powering this hardware over its lifetime. Data centers host real or virtual (i.e., cloud) clusters that often execute large compute jobs using MapReduce, of which Hadoop is a popular implementation. Like other successful open source projects, Hadoop has...
Heterogeneous multicore platforms have become an attractive choice to deploy mixed criticality systems demanding diverse computational requirements. One of the major challenges is to efficiently harness the computational power of these multicore platforms while deploying mixed criticality applications. The problem is acerbated with an additional demand of energy efficiency. It is particularly relevant...
Recent advances in energy efficient data center (DC) design in combination with predictive optimization techniques have led to the emergence of DCs that are able to adapt their operation to their environment. Current approaches towards assessing the operational efficiency of the DCs are mostly static, disregarding the flexibility aspects of modern DCs, also failing to reflect the effects of DC optimization...
Over the spring and summer 2015 semesters, two undergraduate students completed a full energy audit of two local municipalities in order to provide recommendations for usage reduction. This audit was done as part of a community partnership initiative with Emerald Cities Collaborative, a community development collective focused on promoting sustainable communities through environmental energy education...
This work proposes an approach for energy consumption estimation of Android applications based on internal measurement. The proposed approach uses samples of voltage and current extracted from the battery of the Android device driver itself. This approach is able to measure the energy consumption of an Android application, or parts of its code. Experiments demonstrate the proposal and compare its...
While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Since electricity consumption behavior may vary between households, we first build a feature universe, and then apply Correlation-based Feature Selection...
In practice, there are two main usages of the battery in home: reducing electricity energy cost by utilizing time-varying electricity energy price and enhancing privacy by concealing the electricity energy usage pattern of appliances. By operating the battery such that it is charged/discharged during periods with low/high prices, we can reduce the electricity energy cost. On the other hand, by operating...
We present a nodes' remaining energy-aware objective function in order to equalize the energy distribution among the nodes with the ultimate goal of extending the lifetime of the network. Routing Protocol for Low Power and Lossy Networks (RPL) is the routing standard for the Internet of Things. It chooses the optimal routes from a source to a destination node based on specific metrics. Since the nodes...
Real-time data processing while the velocity and volume of data generated keep increasing, as well as, energy-efficiency are great challenges of big data streaming which have transitioned to the Internet of Things (IoT) realm. In this paper, we introduce AdaM, a lightweight adaptive monitoring framework for smart battery-powered IoT devices with limited processing capabilities. AdaM, inexpensively...
Spectral efficiency and energy efficiency are fundamental trade-off in wireless communications. Spectral efficiency (SE), defined as the average data rate per unit bandwidth, quantifies how efficiently the available spectrum is utilized. Energy efficiency (EE), defined as the successful transmitted information bits per unit energy from transmitter to receiver, quantifies how efficiently the energy...
The reduction of cloud computing energy consumption can be related to the application layer management with virtualization services, or a software layer. All clouds demand a power infrastructure with high availability. A data center power system is generally classified according to four redundancy levels, named tier I to IV. This paper proposes a power load distribution algorithm in depth search (PLDA-D)...
In this paper, we propose a state-based energy/performance model for a given parallel application on multicore computer systems. By quantifying energy consumptions at fine-grained levels, defined as states, we analyze the energy/performance impact by taking into account the application characteristics and energy features of multicore computers. By combining Amdahl's Law with our proposed model, we...
Sensing coverage in wireless sensor network is one of the vital performance metrics which can arise in all design stages and usually considered together with some other performance metrics, such as connectivity or energy consumption. Whatever the metrics, the fundamental problem is to know at least how many sensors are needed to maintain both sensing coverage and network connectivity. In this paper,...
This research paper focuses on reengineering and optimization of energy consumption and other costs for large IT infrastructures, with support from EA software which is based on advanced use of IT Key Performance Indicators (KPIs) and powerful visualization solutions. Use of KPIs is crucial in achieving energy efficient, green IT, implementing these metrics allows the enterprise to determine areas...
The task of reducing the energy footprint of IT devices and software has been a challenge for Green IT research. Monitoring approaches have primarily focused on measuring the energy consumption of the hardware components of computing devices. The use of applications or software on our computer systems consumes energy and it also affects how various hardware components and system resources consume...
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