166,600 research outputs found

    Power Management Techniques for Data Centers: A Survey

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    With growing use of internet and exponential growth in amount of data to be stored and processed (known as 'big data'), the size of data centers has greatly increased. This, however, has resulted in significant increase in the power consumption of the data centers. For this reason, managing power consumption of data centers has become essential. In this paper, we highlight the need of achieving energy efficiency in data centers and survey several recent architectural techniques designed for power management of data centers. We also present a classification of these techniques based on their characteristics. This paper aims to provide insights into the techniques for improving energy efficiency of data centers and encourage the designers to invent novel solutions for managing the large power dissipation of data centers.Comment: Keywords: Data Centers, Power Management, Low-power Design, Energy Efficiency, Green Computing, DVFS, Server Consolidatio

    SMART METERING WITH ON OFF DAILY FOR EFFICIENT ENERGY DISTRIBUTION OF SMART BUILDING

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    Internet of Things (IoT) is an emerging technology, where devices make world smarter and simple. The integration of IoT and smart building has become promising for the future. Forming the smart building to coverage the distribution of the electrical energy in smart building this thesis purposed an IoT devices that connected to source of electrical energy in the building to do energy distribution. The device could do the) to analyze the place/room. Thus, the system is made to control the power consumption in a building/ room in a day. The system will notify the user if the usage of power is near to the limit in a day. Using Arduino uno as microcontroller that connected to the internet and the electrical source in the room or building to track the power consumption. This system will be keep monitoring the power consumption and automatically turn off the power in the room/ building. The system will be connected to the user smartphone and user can set the limit power consumption in a day and monitor the power consumption. The result expected from this undergraduate thesis is a creation of building/ home with efficiency of the use of electrical energy. Keywords: Internet of Things, Smart Building, Electricity System, Microcontroller

    Energy efficiency in short and wide-area IoT technologies—A survey

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    In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions

    Rancang Bangun Sistem Monitoring Penggunaan Daya Listrik Berbasis Internet of Things

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    The modern lifestyle of Indonesian people has influenced the level of increasing of the electricity consumption. The wasteful use of household electricity even uncontrolled due to the lack of monitoring of the amount of power used. It does not enough to monitor power depends on the kWh meter because the electricity users cannot monitor every room which excessive in terms of electricity consumption. In this study, a monitoring tool was designed to monitor power consumption in each room. The purpose of this study is to determine the power consumption in each room. Thus, it is easier to save electrical energy. Implementation of the internet of things (IoT) used the Blynk platform. The results showed that the tools (design) have been successful in monitoring the power consumption of each IoT-based room. At load the laptop charger produces 99.61% efficiency, at load two lamps produces efficiency 98.94%, at fan load produces efficiency 99.08% and at load two lamps and laptop charger produces efficiency 99.07%. It can be concluded that the system built has very good efficiency and can make it easier to monitor power consumption in household electronic equipment

    Achieving Energy Efficiency on Networking Systems with Optimization Algorithms and Compressed Data Structures

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    To cope with the increasing quantity, capacity and energy consumption of transmission and routing equipment in the Internet, energy efficiency of communication networks has attracted more and more attention from researchers around the world. In this dissertation, we proposed three methodologies to achieve energy efficiency on networking devices: the NP-complete problems and heuristics, the compressed data structures, and the combination of the first two methods. We first consider the problem of achieving energy efficiency in Data Center Networks (DCN). We generalize the energy efficiency networking problem in data centers as optimal flow assignment problems, which is NP-complete, and then propose a heuristic called CARPO, a correlation-aware power optimization algorithm, that dynamically consolidate traffic flows onto a small set of links and switches in a DCN and then shut down unused network devices for power savings. We then achieve energy efficiency on Internet routers by using the compressive data structure. A novel data structure called the Probabilistic Bloom Filter (PBF), which extends the classical bloom filter into the probabilistic direction, so that it can effectively identify heavy hitters with a small memory foot print to reduce energy consumption of network measurement. To achieve energy efficiency on Wireless Sensor Networks (WSN), we developed one data collection protocol called EDAL, which stands for Energy-efficient Delay-aware Lifetime-balancing data collection. Based on the Open Vehicle Routing problem, EDAL exploits the topology requirements of Compressive Sensing (CS), then implement CS to save more energy on sensor nodes

    Data Transmission and Energy Efficient Internet Data Centers

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    The internet is a marvel of human accomplishment and a feat of technological engineering, which allows nearly instantaneous communication across the globe-an act once considered the stuff of science fiction. It has been lauded for its environmental benefits, such as reducing paper production and waste, but, as with any great accomplishment, there are unintended consequences. The increased proliferation of electronic devices to access the internet and the exponential advancement of those devices results in large amounts of electronic waste-a problem in its own right. Compounding the issue, for all of those internet-enabled devices to work, they must rely on the backbone of the internet: data servers. Data servers are connected by the thousands within data centers, and these centers must continuously draw electricity from the national electric grid to keep up with internet user demand. This overwhelming amount of energy and electricity consumption creates huge electricity bills for U.S. companies and produces millions of metric tons of toxic carbon emissions annually. This Comment addresses the impacts of increased energy consumption by internet data centers and suggests a regulatory solution to make those data centers more energy efficient. Within the United States, the Federal Energy Regulatory Commission is the best-suited agency to address the energy efficiency of the internet. Under the Federal Power Act-and consistent with the Supreme Court\u27s interpretation of the Act\u27s language in New York v. FERC and FERC v. Electric Power Supply Ass\u27n-FERC has the authority to mandate efficiency standards for internet data centers because those data centers transmit electric energy in interstate commerce and may be considered transmission facilities. Overall, this Comment aims to suggest a regulatory means by which the United States can reduce its energy consumption, thereby harmonizing environmental and business concerns to allow for sustainable economic growth

    Renewable Energy-Aware Routing in the Internet

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    The increasing power consumption of the Internet infrastructure has attracted a lot of world-wide attention because of the severe impact on the environment. Many research works have started to search for solutions of how to reduce the energy consumption in data networks. Other works have considered that generation of electricity from fossil-based fuel emits greenhouse gases into the atmosphere, which leads to global warming. Consequently, another approach for sustainable networks is the utilization of renewable energy to power the infrastructure. This thesis introduces a new backbone Internet routing protocol that performs routing considering the different renewable energy availability at various geographical locations. A Border Gateway Protocol (BGP)-based routing algorithm using a new metric is proposed to increase the utilization of renewable energy. The aim of the presented protocol is to maximize the total renewable energy usage of the backbone network and reduce the non-renewable energy consumption for different traffic load. The new metric is based on a linear energy power consumption model for the selected routers. This linear model describes the power efficiency of routers using a scaling factor (SF), which the proposed algorithm incorporates into the routing metric and combines with a per-packet load balancing scheme to increase the renewable energy power consumption. Simulations with various configurations were implemented to evaluate the performance of the presented routing algorithm
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