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Journal articles on the topic 'Energy and resource consumption'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Kerr, Don. "Energy, resource consumption, and climate change." Canadian Studies in Population 45, no. 1-2 (2018): 43. http://dx.doi.org/10.25336/csp29368.

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Population growth, at both the national and global level, will most certainly impact Canada’s climate, and, more broadly, its environment. While Canada’s population has been projected to continue to grow for many decades, what happens elsewhere in terms of population growth will be particularly important to Canada. Although greenhouse gas emissions (GHGs) in Canada have levelled off somewhat over the last decade and a half, global emissions have continued to climb. As a direct result, with increased GHGs in the atmosphere, Canada’s northern climate has already been impacted in a major way with

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Shrabanee, Swagatika, and Amiya Kumar Rath. "SDN-cloud: a power aware resource management system for efficient energy optimization." International Journal of Intelligent Unmanned Systems 8, no. 4 (2020): 321–43. http://dx.doi.org/10.1108/ijius-07-2019-0032.

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PurposeIn modern cloud services, resource provisioning and allocation are significant for assigning the available resources in efficient way. Resource management in cloud becomes challenging due to high energy consumption at data center (DC), virtual machine (VM) migration, high operational cost and overhead on DC.Design/methodology/approachIn this paper, the authors proposed software-defined networking (SDN)-enabled cloud for resource management to reduce energy consumption in DC. SDN-cloud comprises four phases: (1) user authentication, (2) service-level agreement (SLA) constraints, (3) clou

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Casazza, Marco, Jingyan Xue, Shupan Du, Gengyuan Liu, and Sergio Ulgiati. "Simulations of scenarios for urban household water and energy consumption." PLOS ONE 16, no. 4 (2021): e0249781. http://dx.doi.org/10.1371/journal.pone.0249781.

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The expansion of cities and their impacts currently constitutes a challenge for the achievement of sustainable development goals (SDGs). In this respect, assessments of resource consumption and the delivery of appropriate policies to support resource conservation are of paramount importance. Previous works in the literature have focused on one specific resource (e.g., water, energy, food) at the household level, while others have analysed the inter-relations among different resources (i.e., the nexus approach) at larger spatial scales (e.g., urban level). Moreover, household behavioural attitu

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Chen, I.-Chun, Kuang-Ly Cheng, Hwong-Wen Ma, and Cathy Chang-Wei Hung. "Identifying Spatial Driving Factors of Energy and Water Consumption in the Context of Urban Transformation." Sustainability 13, no. 19 (2021): 10503. http://dx.doi.org/10.3390/su131910503.

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Urban energy and water consumption varies substantially across spatial and temporal scales, which can be attributed to changes of socio-economic variables, especially for a city undergoing urban transformation. Understanding these variations in variables related to resource consumptions would be beneficial to regional resource utilization planning and policy implementation. A geographically weighted regression method with modified procedures was used to explore and visualize the relationships between socio-economic factors and spatial non-stationarity of urban resource consumption to enhance t

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Gnedoy, N., S. Dubovskoy, and M. Kulik. "Economic, energy and ecological aspects of energy resource consumption in Ukraine." International Journal of Global Energy Issues 19, no. 2/3 (2003): 182. http://dx.doi.org/10.1504/ijgei.2003.002390.

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Mao, Li, De Yu Qi, Wei Wei Lin, Bo Liu, and Ye Da Li. "An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization." International Journal of Grid and High Performance Computing 8, no. 2 (2016): 43–57. http://dx.doi.org/10.4018/ijghpc.2016040103.

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With the rapid growth of energy consumption in global data centers and IT systems, energy optimization has become an important issue to be solved in cloud data center. By introducing heterogeneous energy constraints of heterogeneous physical servers in cloud computing, an energy-efficient resource scheduling model for heterogeneous physical servers based on constraint satisfaction problems is presented. The method of model solving based on resource equivalence optimization is proposed, in which the resources in the same class are pruning treatment when allocating resource so as to reduce the s

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Dewangan, Bhupesh Kumar, Amit Agarwal, Venkatadri M., and Ashutosh Pasricha. "Energy-Aware Autonomic Resource Scheduling Framework for Cloud." International Journal of Mathematical, Engineering and Management Sciences 4, no. 1 (2019): 41–55. http://dx.doi.org/10.33889/ijmems.2019.4.1-004.

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Cloud computing is a platform where services are provided through the internet either free of cost or rent basis. Many cloud service providers (CSP) offer cloud services on the rental basis. Due to increasing demand for cloud services, the existing infrastructure needs to be scale. However, the scaling comes at the cost of heavy energy consumption due to the inclusion of a number of data centers, and servers. The extraneous power consumption affects the operating costs, which in turn, affects its users. In addition, CO2 emissions affect the environment as well. Moreover, inadequate allocation

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Alcarria, Ramon, Borja Bordel, Tomás Robles, Diego Martín, and Miguel-Ángel Manso-Callejo. "A Blockchain-Based Authorization System for Trustworthy Resource Monitoring and Trading in Smart Communities." Sensors 18, no. 10 (2018): 3561. http://dx.doi.org/10.3390/s18103561.

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Resource consumption in residential areas requires novel contributions in the field of consumer information management and collaborative mechanisms for the exchange of resources, in order to optimize the overall consumption of the community. We propose an authorization system to facilitate access to consumer information and resource trading, based on blockchain technology. Our proposal is oriented to the Smart communities, an evolution of Community Energy Management Systems, in which communities are involved in the monitoring and coordination of resource consumption. The proposed environment a

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Ravi, G., and T. Sujithamani. "Autonomic Resource Management and Energy Consumption in Cloud Environment." International Journal of Computer Applications 129, no. 3 (2015): 8–11. http://dx.doi.org/10.5120/ijca2015906778.

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Raileanu, Silviu, Florin Anton, Alexandru Iatan, Theodor Borangiu, Silvia Anton, and Octavian Morariu. "Resource scheduling based on energy consumption for sustainable manufacturing." Journal of Intelligent Manufacturing 28, no. 7 (2015): 1519–30. http://dx.doi.org/10.1007/s10845-015-1142-5.

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K. Sonkar, S., and M. U.Kharat. "A Novel Energy Efficient Resource Management System in Cloud Computing Environment." International Journal of Engineering & Technology 7, no. 4.19 (2018): 1030. http://dx.doi.org/10.14419/ijet.v7i4.19.28281.

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Primary target of cloud provider is to provide the maximum resource utilization and increase the revenue by reducing energy consumption and operative cost. In the service providers point of view, resource allocation, resource sharing, migration of resources on demand, memory management, storage management, load balancing, energy efficient resource usage, computational complexity handling in virtualization are some of the major tasks that has to be dealt with. The major issue focused in this paper is to reduce the energy consumption problem and management of computation capacity utilization. Fo

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Kozhevnikov, Dmitry. "Building a system for efficient use of resources in construction." MATEC Web of Conferences 193 (2018): 05014. http://dx.doi.org/10.1051/matecconf/201819305014.

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The article studies various aspects of building a system for efficient use of resources in construction and develops a model for estimating resource flows in construction. It has been proved that construction work cannot be organized without proper material resources: raw materials, construction materials, fuel, energy, pre-fabricated products, etc. It has been determined that the model for estimating the resource flows in construction should take into account the volume of resource consumption, i.e. resource consumption per unit of specific demand for their consumption, taking into account th

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Jiang, Xue Feng, Zheng Min Wang, Hui Liang Dong, and Wei Li. "The Research of Energy Consumption Control of Tobacco Information Based on Cloud Computing." Advanced Materials Research 915-916 (April 2014): 1393–96. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.1393.

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With the development of technology and enterprise information resources utilization improving system reliability requirements, cloud computing is becoming more and more widely used. To improve the tobacco resource utilization of a lot of information and increase reliability of resource platform, this article is based on cloud computing technology, to research the use of virtualization technology on tobacco cloud computing platform architecture carried on the system design, and studies the tobacco cloud management platform, based on effective control of tobacco information resource utilization

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Rahimi, Amin, Leili Mohammad Khanli, and Saeid Pashazadeh. "Energy efficient virtual machine placement algorithm with balanced resource utilization based on priority of resources." Computer Engineering and Applications Journal 4, no. 2 (2015): 107–18. http://dx.doi.org/10.18495/comengapp.v4i2.134.

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The increasing energy consumption has become a major concern in cloud computing due to its cost and environmental damage. Virtual Machine placement algorithms have been proven to be very effective in increasing energy efficiency and thus reducing the costs. In this paper we have introduced a new priority routing VM placement algorithm and have compared it with PABFD (power-aware best fit decreasing) on CoMon dataset using CloudSim for simulation. Our experiments show the superiority of our new method with regards to energy consumption and level of SLA violations measures and prove that priorit

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Hao, Liang, Gang Cui, Ming Cheng Qu, and Wen De Ke. "Resource Scheduling Algorithm of Cloud Computing for Energy Optimization Base on Virtual Machine Migration." Advanced Materials Research 926-930 (May 2014): 3232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3232.

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As the growing demand for cloud computing, the scale of cloud data centers increased gradually, so that the energy issues of cloud environments have become increasingly prominent. For the situation of energy consumption serious in cloud computing data center, the resource scheduling algorithm of cloud computing for energy optimization was designed base on the technology of virtual machine migration. The energy consumption of cloud data center was saved effectively through effective use of resources, rational allocation of resources scheduling. Simulation results showed that compared to sequenc

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Ren, Lei, and Lin Zhang. "An Efficient IT Energy-Saving Approach Based on Cloud Computing for Networked Green Manufacturing." Advanced Materials Research 139-141 (October 2010): 1374–77. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1374.

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Networked manufacturing technology has provided an effective approach to integrating manufacturing resources over Internet. However, a vast number of resources involving networks, computing, and storage resulted in ever increasing energy consumption. This paper proposed an IT energy-saving approach based on Cloud Computing for networked green manufacturing. The paper first presented the architecture of networked green manufacturing on Cloud Computing to support service-oriented IT resources outsourcing. Then the paper discussed the dynamically-scalable resource utilization mechanism for networ

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Verma, J. K., and C. P. Katti. "Resource Request Based Energy Efficient Heuristic for Server Offloading in Cloud Computing Environment." Journal of Global Information Management 26, no. 4 (2018): 1–17. http://dx.doi.org/10.4018/jgim.2018100101.

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Increasing demand for high computing power led to the establishment of large-scale data centers. A data center is a collection of millions of servers. These large-scale data centers consume a huge amount of electrical energy. Managing these servers for provisioning and de-provisioning of resources in an automatic and efficient way is a great challenge. We attempt to minimise the power consumption by reducing the number of servers and maximizing the resource utilization of the servers that are in use through virtualization of resources. We work upon Virtual Machine Consolidation for consolidati

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Liu, Qun Yi, An Jian Wang, and Qi Shen Chen. "Analysis for the Global Demand of Energy in the next 20 Years." Advanced Materials Research 734-737 (August 2013): 1719–23. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.1719.

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Over the next 20 years a rapid rise will be happen in global demand for steel, copper and aluminum, China will be the first biggest resource requirements country. This paper analyzes the global demand of steel, copper and aluminum, showing that global resource consumption center transfer according to the industrial centers, at present, China is the world's resources consumption center, steel, copper and aluminium consumption accounted for more than 40% of the world. Global demand for steel, copper and aluminum over the next 20 years will be rapid growth, accumulative total demand is 2 times of

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Ilie, Filip. "Life cycle assessment in choosing alternatives for energy sector development." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 8, no. 2 (2014): 1278–90. http://dx.doi.org/10.24297/ijmit.v8i2.679.

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Development of industrial activities have negative effect on natural resources and environment therefore, production systems must respect the principles of sustainable development by minimize natural resource consumption and pollutant emissions. Life cycle assessment (LCA) of a industrial activities is a technical tool, a method that allows evaluation of the socio-economic activities in relation with the environment, from birth to death. The aim of this paper is analysis of resource and energy consumption in Romania, using LCA, that can identify environmental and socio-economic aspects of anal

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., S. Pandikumar, G. Sujatha ., and M. Sumathi . "Analysis of Radio Resource Energy Consumption Pattern in Cellular Network." International Journal of Computer Sciences and Engineering 6, no. 7 (2018): 94–102. http://dx.doi.org/10.26438/ijcse/v6i7.94102.

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Zhihong, Lao, and Larisa Ivascu. "Cloud Computing Resource Dynamic Optimization Considering Load Energy Balancing Consumption." TELKOMNIKA (Telecommunication Computing Electronics and Control) 14, no. 2A (2016): 18. http://dx.doi.org/10.12928/telkomnika.v14i2a.4344.

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Silva, Edgar M., Pedro Mal�, and Michele Albano. "Energy Consumption Awareness for Resource-Constrained Devices: Extension to FPGA." Journal of Green Engineering 6, no. 3 (2016): 1–27. http://dx.doi.org/10.13052/jge1904-4720.631.

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Lynar, Timothy M., N. A. Simon, Ric D. Herbert, and William J. Chivers. "Reducing energy consumption in distributed computing through economic resource allocation." International Journal of Grid and Utility Computing 4, no. 4 (2013): 231. http://dx.doi.org/10.1504/ijguc.2013.057117.

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Ardestani, Mojtaba, and Majid Shafie-Pour. "Environmentally compatible energy resource production—consumption pattern (case study: Iran)." Environment, Development and Sustainability 11, no. 2 (2007): 277–91. http://dx.doi.org/10.1007/s10668-007-9110-7.

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25

de Scheemaker, Gabriel F. "Water, Energy and the Resource Consumption Puzzle: What about Hydrogen?" Energy Procedia 29 (2012): 122–27. http://dx.doi.org/10.1016/j.egypro.2012.09.016.

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Lei, Sun, Zhong Fu Tan, Li Wei Ju, He Yin, and Zhi Hong Chen. "Generation Resource Planning Optimization Model under Emission Constraint." Advanced Materials Research 772 (September 2013): 868–71. http://dx.doi.org/10.4028/www.scientific.net/amr.772.868.

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As a large energy consumption and pollutants emission department, power industry energy saving and emission reduction is of great significance for the community's overall energy consumption and pollutants emission control. As the main energy saving measures of the power industry, optimize the structure of power based on grid-connected renewable energy. Therefore, this article is based on energy distribution in China, considering load, electricity, resources, environmental pollution and the unit served, target is the total system power generation installed capacity and pollutant emissions at mi

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Fang, Juan, Yong Chen, and Shuaibing Lu. "Energy-Efficient Resource Provisioning Strategy for Reduced Power Consumption in Edge Computing." Applied Sciences 10, no. 17 (2020): 6057. http://dx.doi.org/10.3390/app10176057.

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Edge computing is an emerging paradigm that settles some servers on the near-user side and allows some real-time requests from users to be directly returned to the user after being processed by these servers settled on the near-user side. In this paper, we focus on saving the energy of the system to provide an efficient scheduling strategy in edge computing. Our objective is to reduce the power consumption for the providers of the edge nodes while meeting the resources and delay constraints. We propose a two-stage scheduling strategy which includes the scheduling and resource provisioning. In

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Qingjie, Liu. "Resource Endowments in Emerging Market Countries." Global Journal of Emerging Market Economies 13, no. 2 (2021): 287–310. http://dx.doi.org/10.1177/09749101211004338.

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This article examines the emerging market countries on their national strategic resources—farmland, fresh water, and fossil energy—which are analyzed from the perspectives of distribution, status of development, and existing issues. The study draws the following conclusions: Emerging market countries have abundant farmland resources yet inadequate per capita resources; because of extensive operation on farmland, grain yield is low, which threatens food security; emerging market countries are saliently short in water resources per capita and face imbalances and low productivity over water use,

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He, Wei, Wenjing Li, and Wei Wang. "Developing a Resource Allocation Approach for Resource-Constrained Construction Operation under Multi-Objective Operation." Sustainability 13, no. 13 (2021): 7318. http://dx.doi.org/10.3390/su13137318.

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In the construction industry, it is of great importance for project managers (PM) to consider the resource allocation arrangement problem based on different perspectives. In this situation, the management of resources in construction becomes a challenge. Generally speaking, there are many objectives that need to be optimized in construction that are in conflict with each other, including time, cost, and energy consumption (EC). This paper proposed a multi-objective optimization framework based on the quantum genetic algorithm (QGA) to obtain the best trade-off relationship among these goals. T

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Sun, Ren Jin, Hao Wang, and Lu Meng. "Energy Consumption Optimization of Petrochemical Industry Chain Based on Circular Economy." Advanced Materials Research 781-784 (September 2013): 2524–33. http://dx.doi.org/10.4028/www.scientific.net/amr.781-784.2524.

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The petrochemical industry developed with huge energy consumption and industrial wastes discharge problems. This paper analysis and deals with these problems by using wastes comprehensive utilization model based on circular economy theory and provide suggestions on ways to improve the utilization efficiency of resources, energy and waste, give an optimization process designed as well as resource processing depth by empirical research.

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Tikhomirov, Dmitry, Andrey Izmailov, Yakov Lobachevsky, and Anatoly Tikhomirov. "Energy Consumption Optimization in Agriculture and Development Perspectives." International Journal of Energy Optimization and Engineering 9, no. 4 (2020): 1–19. http://dx.doi.org/10.4018/ijeoe.2020100101.

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In this article, indicators of energy consumption in agriculture for Russian Federation are discussed, starting from the year 1990, and their forecast values for the period up to 2030 with the analysis of the decay in the period from 1991 to 2010 and gradual growth of energy resources consumption started in 2010 and continued to the present day has been analyzed. The outlines of the strategy of rural energy base development and optimization have been considered. Demand, development, and implementation conditions of decentralized energy supply systems have been substantiated, and their features

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Jinturkar, A. M., and S. S. Deshmukh. "Sustainable Development by Rural Energy Resources Allocation in India." International Journal of Energy Optimization and Engineering 2, no. 1 (2013): 37–49. http://dx.doi.org/10.4018/ijeoe.2013010103.

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Energy resource planning in rural is a powerful tool for sustainable development. A fuzzy goal programming approach is used for rural energy resource allocation for heating and cooking. The detail survey has been conducted to determine the potential of biogas and biomass and to find energy consumption pattern in the four villages of Buldhana district, Maharashtra, India. Four fuzzy objective functions and six constrains, based on the local availability are considered in this model. Four scenarios have been developed which are equal priority, cost priority, emission priority and local resources

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Gokuldev, S., and Jathin R. "Range smart cluster monitor based guesstimate approach for resource scheduling in small size clusters." International Journal of Engineering & Technology 7, no. 2 (2018): 837. http://dx.doi.org/10.14419/ijet.v7i2.9531.

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Performing scheduling of tasks with low energy consumption with high performance is one of the major concerns in distributed computing. Most of the existing systems have achieved improved energy efficiency but compromised with QoS metrics such as makespan and resource utilization. A resource scheduling strategy for wireless clusters is proposed by making careful considerations on decisions that would im-prove the battery life of nodes. The proposed strategy also incorporates monitoring system with in the clusters for optimizing the system performance as well as energy consumption. The system e

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Gourisaria, Mahendra Kumar, S. S. Patra, and P. M. Khilar. "Minimizing Energy Consumption by Task Consolidation in Cloud Centers with Optimized Resource Utilization." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3283. http://dx.doi.org/10.11591/ijece.v6i6.12251.

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<p>Cloud computing is an emerging field of computation. As the data centers consume large amount of power, it increases the system overheads as well as the carbon dioxide emission increases drastically. The main aim is to maximize the resource utilization by minimizing the power consumption. However, the greatest usages of resources does not mean that there has been a right use of energy. Various resources which are idle, also consumes a significant amount of energy. So we have to keep minimum resources idle. Current studies have shown that the power consumption due to unused computing r

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Gourisaria, Mahendra Kumar, S. S. Patra, and P. M. Khilar. "Minimizing Energy Consumption by Task Consolidation in Cloud Centers with Optimized Resource Utilization." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3283. http://dx.doi.org/10.11591/ijece.v6i6.pp3283-3292.

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<p>Cloud computing is an emerging field of computation. As the data centers consume large amount of power, it increases the system overheads as well as the carbon dioxide emission increases drastically. The main aim is to maximize the resource utilization by minimizing the power consumption. However, the greatest usages of resources does not mean that there has been a right use of energy. Various resources which are idle, also consumes a significant amount of energy. So we have to keep minimum resources idle. Current studies have shown that the power consumption due to unused computing r

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Zheng, Ruijuan, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu, Qingtao Wu, and Li Yang. "A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective." Wireless Communications and Mobile Computing 2019 (January 23, 2019): 1–15. http://dx.doi.org/10.1155/2019/7430860.

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Mobile Microlearning, a novel fusion form of the mobile Internet, cloud computing, and microlearning, becomes more prevalent in recent years. However, its high deployment and operational costs make energy saving in cloud become a concerning issue. In this paper, to save energy consumption, a resource deployment approach to cloud service provision for Mobile Microlearning is proposed. Chinese Lexical Analysis System and Dynamic Term Frequency-Inverse Document Frequency (D-TF-IDF) are adopted to implement resource classification. Resources are deployed to the 2-tier cloud architecture according

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Xu, Yong Qiang, and Ming Yin. "A Mobility-Aware Task Scheduling Model in Mobile Grid." Applied Mechanics and Materials 336-338 (July 2013): 1786–91. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1786.

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The mobile grids bring some additional features into the grid, such as mobility, energy-constrained, etc. And the task scheduling becomes a more challenge thing. We propose a mobile grid task scheduling model considering the mobility of both user and resource, and the resource energy consumption. Through analyzing the architecture of mobile grid, a mathematical model is built to calculate the average distance between the resource and Base Station (BS). Then, it can decide which mobile grid the mobile devices are apt to stay in, which can deal with the mobility of mobile devices. On the other h

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Zhang, Yi, and Yi Min Su. "Research on Resource Scheduling Algorithm in Cloud Computing Data Center." Advanced Materials Research 926-930 (May 2014): 2050–53. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2050.

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In recent years, with the rapid development of Internet and virtualization technology, cloud computing, which providing users with on-demand services, has become a research hotspot. Under the environment of cloud computing, the datacenter, consisted by hardware and software, is a loosely coupled resource sharing architecture. The existing cloud computing's inadequacies are as following three aspects: 1. For lacking of real adequate and effective transaction of global bidirectional-way selection, the revenue of most of cloud resource provider is too low. 2. Since not fully considering the sched

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Dong, Shi Bao, Xiao Dong Ouyang, and Li Ming Hu. "Energy and Resource Saving and Environment Protection." Advanced Materials Research 1010-1012 (August 2014): 1850–53. http://dx.doi.org/10.4028/www.scientific.net/amr.1010-1012.1850.

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Saving energy and resources and protecting the environment is closely related to the sustainable development of our country and the people’s happiness, so we should take on actions conscientiously, change the economic development mode, lessen the energy consumption per Gross Domestic Production, at the same time, we should conduct energy saving and environment protection propaganda, wake up the people’s consciousness, lay down applicable laws and regulations and put them into effect, then the energy & resources saving and environment goal can be achieved.

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Liang, Runfu, Gaocai Wang, and Jintian Hu. "Resource Caching and Task Migration Strategy of Small Cellular Networks under Mobile Edge Computing." Mobile Information Systems 2021 (June 21, 2021): 1–16. http://dx.doi.org/10.1155/2021/9911332.

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As computing-intensive mobile applications become increasingly diversified, mobile devices’ computing power is hard to keep up with demand. Mobile devices migrate tasks to the Mobile Edge Computing (MEC) platform and improve the performance of task processing through reasonable allocation and caching of resources on the platform. Small cellular networks (SCN) have excellent short-distance communication capabilities, and the combination of MEC and SCN is a promising research direction. This paper focuses on minimizing energy consumption for task migration in small cellular networks and proposes

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Chichulin, Victor, and Kseniya Chichulina. "ENERGY SECURITY OF THE STATE: COMPARATIVE ANALYSIS AND IMPROVING THE REGULATORY FRAMEWORKS FOR ENERGY, RESOURCE EFFICIENCY OF BUILDINGS IN UKRAINE AND IN THE EU." ЕКОНОМІКА І РЕГІОН Науковий вісник, no. 3(64) (June 7, 2017): 38–47. http://dx.doi.org/10.26906/eir.2017.3(64).874.

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UDK 658.264 GEL: E21; F15; L74; Q49; Q48; R58 Victor Chichulin, Ph.D., Assoc. Prof. Kseniya Chichulina, Ph.D. Poltava National Technical Yurii Kondratyuk University. Energy Security of the state: Comparative analysis and Improving the Regulatory frameworks for energy, resource efficiency of buildings in Ukraine and in the EU. The article was the analysis and compare existing regulatory frameworks for energy and resource efficiency of various buildings in Ukraine and in the EU. The main assignment of the present research is studying the current situation and trends towards improveme

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HIWATASHI, Kenichi, and Tatsuo OKA. "ENERGY CONSUMPTION, CARBON EMISSION AND RESOURCE CONSUMPTION DUE TO CONSTRUCTION AND OPERATION OF REFUSE-INCINERATION." Journal of Environmental Engineering (Transactions of AIJ) 70, no. 593 (2005): 73–80. http://dx.doi.org/10.3130/aije.70.73_1.

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ElNashar, Zeinab, Omar Cherkaoui, Zlatin Zlatev, and ElSayed ElNashar. "LAUNDRY WASHING MACHINE FOR CONSUMPTION OF CLOTHING, WATER AND ENERGY IN EGYPT." Applied Researches in Technics, Technologies and Education 16, no. 2 (2018): 121–30. http://dx.doi.org/10.15547/artte.2018.02.007.

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Consumption of clothing, water and energy by washing laundry is one of the most widespread housework in the Egypt. Today, washing machines do this work in many private households, using water, energy, chemical substances, and process time. Although energy efficiency is in the focus of many regulations which have already achieved significant improvements, the question remains, how relevant these processes are in terms of the absolute impact on resources and whether there are possibilities to improve even further by looking abroad. This survey, which is based on published data, compares the ener

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He, Zhi Peng, Hua Zhang, Yan Hong Wang, Zhi Gang Jiang, and Wei Yan. "Manufacturing Resources Optimization Operation for Iron and Steel Enterprise Based on Green Manufacturing." Advanced Materials Research 712-715 (June 2013): 3079–84. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3079.

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According to the present situation of lack of systemic analysis for manufacturing resources optimization operation for iron and steel enterprise in domestic and overseas, a resource input/output frame about steel and iron manufacturing unit was established to analyze the resource consumption situation, and the main line of steel green manufacturing resources was built, which is based on the theory and method of green manufacturing and the operation law of iron and steel enterprise. And manufacturing resources optimization operation strategies were put forward for iron and steel enterprises, co

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van Someren Gréve, Hans, Thomas Kiørboe, and Rodrigo Almeda. "Bottom-up behaviourally mediated trophic cascades in plankton food webs." Proceedings of the Royal Society B: Biological Sciences 286, no. 1896 (2019): 20181664. http://dx.doi.org/10.1098/rspb.2018.1664.

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Our traditional view of the interactions between marine organisms is conceptualized as food webs where species interact with one another mainly via direct consumption. However, recent research suggests that understudied non-consumptive interactions, such as behaviourally mediated indirect interactions (BMIIs), can influence marine ecosystems as much as consumptive effects. Here, we show, to our knowledge, the first experimental evidence and quantification of bottom-up BMIIs in plankton food webs. We used observational, modelling and experimental approaches to investigate how behavioural respon

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Yang, Li, and Piman Sun. "Generalized Building Energy Efficiency and New Energy Utilization." E3S Web of Conferences 118 (2019): 01007. http://dx.doi.org/10.1051/e3sconf/201911801007.

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The development of human society is a non-stop gear, and the way we use energy is about the future. How to use resources reasonably and effectively is the pressure we face. The increase in population is the problem of resource allocation—insufficient inventory of traditional energy sources. Economic development is a double-sided blade, and ecological environmental protection is our focus. Research and development of new energy and renewable energy is a way to block dependence on traditional energy sources. It is the inevitable way for human beings to coexist harmoniously with ecology in the fu

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Yang, Yi Bo, and Li Wei Sun. "Energy Consumption, Resource Utilization and Environmental Protection in Beijing - Practice and Challenges." Advanced Materials Research 524-527 (May 2012): 3618–25. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3618.

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Due to alteration and degradation of the environment, governments and citizens of Beijing are gradually embracing the concept of sustainable development. The theory of circular economy is regarded as an important way to build a resource-saving and environment-friendly society, so it becomes emphasized by the government. This paper presents an overview of the current situation of the circular economy in Beijing, provides a brief discussion on the future challenges and makes a number of feasible suggestions. In the period of "The Eleventh Five-Year Plan", Beijing attaches great importance to the

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Shafir, A. M. "Energy market: general theory legal regulation." Courier of Kutafin Moscow State Law University, no. 3 (May 15, 2020): 116–24. http://dx.doi.org/10.17803/2311-5998.2020.67.3.116-124.

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Energy markets are an organizational and economic mechanism that ensures the functioning of the sphere of circulation of energy resources, organized according to the laws of commodity production. Energy is nothing more than a material carrier of the energy transferred in the process of planning of activity of subjects of FEC fuel and energy balances of fuel as a unit of measurement of the amount of energy in a particular energy resource. Economic relations for the supply of energy resources are formed in two main forms‑supply through the connected network and supply. In energy and gas supply,

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Faist, Mireille, Susanne Kytzia, and Peter Baccini. "The impact of household food consumption on resource and energy management." International Journal of Environment and Pollution 15, no. 2 (2001): 183. http://dx.doi.org/10.1504/ijep.2001.000595.

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Gregory, Adam, and Shikharesh Majumdar. "Resource management for deadline constrained MapReduce jobs for minimising energy consumption." International Journal of Big Data Intelligence 5, no. 4 (2018): 270. http://dx.doi.org/10.1504/ijbdi.2018.094996.

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