Showing papers on "Efficient energy use published in 1970"
01 Jan 1970
TL;DR: Two new proposed algorithms, Enhancing Heterogonous Earliest Finish Time (EHEFT) and Enhancing Critical Path on a Processor (ECPOP), can be employed to substantially reduce the operating cost in a large cloud computing system.
Abstract: An inefficient energy consumption of computing resources in a large cloud datacenter is a very important issue since the energy cost is now a major part of the operating expense. In this paper, the challenge of scheduling a parallel application on a cloud platform to achieve both time and energy efficiency is addressed by two new proposed algorithms Enhancing Heterogonous Earliest Finish Time (EHEFT) and Enhancing Critical Path on a Processor (ECPOP). The objective of these two algorithms is to reduce the energy consumption while achieving the best execution makespan. The algorithms use a metric that identifies and turns off the inefficient processors to reduce energy consumption. Then, the application tasks are rescheduled on fewer processors to obtain better energy efficiency. The experimental results from the simulation using real-world application workload show that the proposed algorithms not only reduce the energy consumption, but also maintain an acceptable scheduling quality. Thus, these algorithms can be employed to substantially reduce the operating cost in a large cloud computing system.
1 citations
TL;DR: The use of electrical energy as a quantity and the rate of consumption of this energy as demand rate have often been discussed in terms of horsepower for a given machine in the rubber industry as mentioned in this paper.
Abstract: The use of electrical energy as a quantity and the rate of consumption of this energy as a demand rate have often been discussed in terms of horsepower for a given machine in the rubber industry However, within the past 30 years, there has been no effort to consolidate these data as a measure of the complete process
1 citations
DOI•
01 Jan 1970TL;DR: In this article, the linkages and coupling effects between pollution emissions and energy consumption of major industries in Taiwan were assessed using an input-output modeling and multiplier analysis, which indicated that energy consumption has strong coupling effects to intensify the level of air pollution.
Abstract: Input-output modeling and multiplier analysis are used to assess the linkages and coupling effects between pollution emissions and energy consumption of major industries in Taiwan. A set of air pollutant criteria, including SO], NO* and €62 are used as pollution indices to evaluate relationships between energy consumption and pollutant emission. Results indicate that energy consumption has strong coupling effects to intensify the level of air pollution. The sectors including road transportation, "other industrial chemicals", cement, paper, plastic materials, artificial fibers, non-metallic mineral products and steel are identified as the most significant industries causing serious air pollution in Taiwan. Therefore, energy efficiency and conservation programs should be enhanced for industries causing serious air pollution in Taiwan. Methods for doing this include: upgrading the industrial structure, improving industrial processes, strengthening energy management and providing technical assistance for better energy usage and environmental quality.