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Journal articles on the topic 'Resource efficiency and elasticity'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

P. Christopher. "AI-Driven Resource Provisioning: Enhancing Elasticity and Efficiency with Hybrid RNN-LSTM Models." Advances in Nonlinear Variational Inequalities 28, no. 2 (2024): 72–83. http://dx.doi.org/10.52783/anvi.v28.1852.

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Automatic resource provisioning techniques that dynamically modify resources in response to service demand are essential to implementing elasticity services. For systems with strict latency or reaction time requirements, such as Enterprise Resource Planning (ERP) systems under high traffic loads, this flexibility is crucial for lowering power consumption and guaranteeing quality of service (QoS). Determining the best point at which to scale resources is still a difficult task. In this research, we provide an AI-integrated system that adjusts resources according to anticipated demand. To predic

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Yang, Shiliang, Huimin Wang, Jinping Tong, Jianfeng Ma, Fan Zhang, and Shijuan Wu. "Technical Efficiency of China’s Agriculture and Output Elasticity of Factors Based on Water Resources Utilization." Water 12, no. 10 (2020): 2691. http://dx.doi.org/10.3390/w12102691.

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A stochastic frontier approach (SFA) model of translog production function was constructed to analyze the growth effect of agricultural production factors on grain production in China. Under the condition of unchanged cultivated land, the agricultural labor, capital, and water were regarded as input elements of the agricultural production function. The maximum likelihood estimation (MLE) method was used to analyze the technical efficiency, output elasticity, substitution elasticity, and relative variability of grain production in China from 2004 to 2018. The results showed that: (1) For the te

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Cui, Yu Quan, Xi Lu, and Lin Lin Li. "Resource Allocation Problem Based on Weighted Cross-Efficiency and Production Capacity." Applied Mechanics and Materials 392 (September 2013): 919–24. http://dx.doi.org/10.4028/www.scientific.net/amm.392.919.

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In economic development, resource has become increasingly important and the problem of how to allocate resource reasonably has become a hot issue..This paper proposes a new resource allocation mode based on DEA models taking into account production efficiency, input-output elasticity, potential production capacity. We put forwards a new weighted cross-efficiency calculation formula and a new resource allocation weights calculation formula. From the numerical example, the result is satisfactory.

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Haie, Naim, Gaspar J. B. Q. A. Machado, Rui M. Pereira, and Andrew A. Keller. "Effective efficiency in water resources management using efficiency elasticity index." Water and Environment Journal 25, no. 4 (2011): 532–39. http://dx.doi.org/10.1111/j.1747-6593.2011.00252.x.

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Moh'd, Z. Freaj, and Sleit Azzam. "Hybrid Approach for Resource Provisioning in Cloud Computing." Journal of Information Sciences and Computing Technologies 6, no. 1 (2016): 546–61. https://doi.org/10.5281/zenodo.3968238.

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Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Elasticity of resources is considered as a key characteristic of cloud computing using this key characteristic; internet services are allocated the onlyneeded resources. This allocation of resources however should not be at the expense of the services’ performance. Allocation of resources without degrading performance is called resource prov

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Hanafy, Walid A., Qianlin Liang, Noman Bashir, David Irwin, and Prashant Shenoy. "CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency." Proceedings of the ACM on Measurement and Analysis of Computing Systems 7, no. 3 (2023): 1–28. http://dx.doi.org/10.1145/3626788.

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Cloud platforms are increasing their emphasis on sustainability and reducing their operational carbon footprint. A common approach for reducing carbon emissions is to exploit the temporal flexibility inherent to many cloud workloads by executing them in periods with the greenest energy and suspending them at other times. Since such suspend-resume approaches can incur long delays in job completion times, we present a new approach that exploits the elasticity of batch workloads in the cloud to optimize their carbon emissions. Our approach is based on the notion of "carbon scaling," similar to cl

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Varchenko, Olga Myronivna, Kateryna Vitalyivna Tkachenko, Valentyna Anatolyivna Byba, and Nadiia Ivanivna Svynous. "Features of Formation and Use of Production Resources by Small Farms in Ukraine." Visegrad Journal on Bioeconomy and Sustainable Development 8, no. 2 (2019): 69–74. http://dx.doi.org/10.2478/vjbsd-2019-0013.

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Abstract It is proved that the effective development of small farms is ensured by the level of their resource supply and the balance of production resources, the efficiency of which we have been carried out on the basis of the calculation of allocative and technical efficiency. According to the obtained equation of production function, we conclude that the most elastic factor is the cost of seeds, fertilizers, feed and other material costs. An increase of this resource by 1% will lead to an increase in the result by 0.395%. The smallest value of the coefficient of elasticity was obtained from

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GUPTA, ARPIT, and KASHIKA ARORA. "EVALUATING THE ELASTICITY OF SUBSTITUTION BETWEEN CAPITAL AND LABOUR (BOTH SKILLED AND UNSKILLED) IN THE INDIAN MANUFACTURING SECTOR." Review of Economic and Business Studies 17, no. 1 (2024): 81–102. https://doi.org/10.47743/rebs-2024-1-0004.

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This study investigates the dynamics of the elasticity of substitution between capital and labour, both skilled and unskilled, across sixteen key industries in India's manufacturing sector. Employing a Constant Elasticity of Substitution (CES) production function and utilizing panel data spanning from 2001 to 2017, the research employs panel cointegration techniques to establish a long-term relationship between the variables. The study calculates long-run elasticity through FMOLS and DOLS estimators, revealing that in India's manufacturing sector, the elasticity of substitution between capital

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Wang, Jianying, Tongliang Li, Haoze Song, et al. "PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–25. http://dx.doi.org/10.1145/3589785.

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Cloud-native databases have become the de-facto choice for mission-critical applications on the cloud due to the need for high availability, resource elasticity, and cost efficiency. Meanwhile, driven by the increasing connectivity between data generation and analysis, users prefer a single database to efficiently process both OLTP and OLAP workloads, which enhances data freshness and reduces the complexity of data synchronization and the overall business cost. In this paper, we summarize five crucial design goals for a cloud-native HTAP database based on our experience and customers' feedback

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Bhai, Shashank, R. R. Kushwaha, Supriya, et al. "Assessment of Resources Use Efficiency and Challenges of Rapeseed-Mustard Crop in Prayagraj District of Uttar Pradesh, India." Journal of Experimental Agriculture International 47, no. 6 (2025): 343–50. https://doi.org/10.9734/jeai/2025/v47i63494.

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In the present paper, an attempt has been made to examine Rapeseed-Mustard cropcultivation in different categories of farmers in Prayagraj District of Uttar Pradesh. Primary data was collected through personal interview by pre-structured and pre-tested schedule; the data was collected for the agricultural year 2022-23. A sample size of 100 farmers, marginal (48) Small (31) Medium (21) were interviewed form 5 village of Baharia block in prayagraj district select the farmers by using the proportionate allocation method. This study evaluates the resource use efficiency in rapeseed-mustard cultiva

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DEETI, VINAY KUMAR. "Dynamic Scaling of Machine Learning Workloads: A Comparative Study of On-Prem and Cloud-Based Containers." Journal of Computational Intelligence and Robotics 3, no. 2 (2023): 123–37. https://doi.org/10.5281/zenodo.15549982.

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This work aims to provide a thorough study of dynamic scaling mechanism for machine learning (ML) workloads, thereby stressing the operational trade-offs between on-site and cloud-based containerized systems. Under different workloads, this study primarily addresses performance elasticity, resource consumption efficiency, orchestration delay, and cost-effectiveness.

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Torana Kamble, Et al. "Predictive Resource Allocation Strategies for Cloud Computing Environments Using Machine Learning." Journal of Electrical Systems 19, no. 2 (2024): 68–77. http://dx.doi.org/10.52783/jes.692.

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Cloud computing revolutionizes fast-changing technology. Companies' computational resource use is changing. Businesses can quickly adapt to changing market conditions and operational needs with cloud-based solutions' adaptability, scalability, and cost-efficiency. IT operations and service delivery have changed due to widespread computational resource access. Cloud computing efficiently allocates resources in cloud environments, making it crucial to this transformation. Resource allocation impacts efficiency, cost, performance, and SLAs. Users and providers can allocate cloud resources based o

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Smith, M., and H. Al-Maskati. "The effect of tariff on water demand management: implications for Bahrain." Water Supply 7, no. 4 (2007): 119–26. http://dx.doi.org/10.2166/ws.2007.101.

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Water is now considered a scarce but essential resource that should be managed in an integrated manner. The traditional approaches of resource development are now considered as unsustainable. Water demand management (WDM) is a new approach that aims at influencing demand & thus improving distribution efficiency. Economic measure through water tariff is one of the WDM tools. Water tariffs are recognized to be one way of curbing growth in water demand, and encouraging more efficient use of water. It is essential for the effective and equitable allocation of water resources. This paper invest

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E., D. Uwah, J. Arigor A., A. Igiri J., and U. Ekong J. "Empirical Analysis of Egg Production Functions: A Case Study of Ikot Ekpene and Uyo Metropolis of Akwa Ibom State, Nigeria." Asian Journal of Agricultural Extension, Economics & Sociology 17, no. 4 (2017): 1–7. https://doi.org/10.9734/AJAEES/2017/24376.

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The study carried out an empirical analysis of egg production functions, a case Study of Ikot Ekpene and Uyo Metropolis of Akwa Ibom State, Nigeria. Specifically, this study was carried out to estimate the egg production functions in the study area, determine the resource use efficiency of egg producers in the study area and to make recommendations based on the findings. Data for this study were obtained from primary source collected from thirty – seven (37) purposively selected poultry farmers using personal observations and interview method while the secondary data were obtained from farm re

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Makka, T. B., Murtala, N., Idi, S., and Haruna, U. "TECHNICAL, ALLOCATIVE AND ECONOMIC EFFICIENCY OF IRRIGATED UPLAND TOMATO (Lycopersicon esculentum) PRODUCTION, IN GOMBE STATE, NIGERIA." Nigerian Journal of Agriculture and Agricultural Technology 4, no. 1 (2024): 208–15. http://dx.doi.org/10.59331/njaat.v4i1.644.

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The study examined the technical, allocative and economic efficiency of irrigated upland tomato (Lycopersicon esculentum) production, in Gombe State, Nigeria. Multi-stage random sampling procedure was used to select 459 respondents. Data were collected using structured questionnaire and were analysed using descriptive and inferential statistics. The result revealed that, the technical efficiency of the farmer is below 1, implying that the farmers in dry season tomato in Gombe State are operating below their production efficiency frontier with a reasonable proportion of 32.97% of the respondent

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Gracia-de-Rentería, Pilar, Ramón Barberán, and Jesús Mur. "The Groundwater Demand for Industrial Uses in Areas with Access to Drinking Publicly-Supplied Water: A Microdata Analysis." Water 12, no. 1 (2020): 198. http://dx.doi.org/10.3390/w12010198.

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This study examines, from an economic perspective, the factors influencing the decision of companies to use groundwater or not, in a context in which they have access to drinking publicly-supplied water and can also opt for self-supplying groundwater, and then estimates its groundwater demand. The Heckman two-stage model is applied, using microdata of a sample of 2579 manufacturing and service companies located in Zaragoza (Spain). The results of the first stage show that companies have economically rational behavior in the choice of their water supply sources: the probability to capture groun

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Dr.A.Shaji, George. "Deciphering the Path to Cost Efficiency and Sustainability in the Snowflake Environment." Partners Universal International Innovation Journal (PUIIJ) 01, no. 04 (2023): 231–50. https://doi.org/10.5281/zenodo.8282654.

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As adoption of the Snowflake cloud data platform continues to accelerate, organizations are seeking ways to optimize costs and resource utilization amidst Snowflake's unique architecture. This paper examines best practices and considerations for attaining efficiency, managing expenses, and upholding sustainability initiatives within Snowflake implementations. The study begins by providing background on Snowflake's novel cloud-native architecture, which separates storage from computing. This elasticity enables immense scalability, but can also lead to cost overruns if workloads and reso

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Kumar, Sikander, and Vishal Chauhan. "Economics of pears production in Himachal Pradesh a study of Jubbal and Kotkhai block of district Shimla." INTERNATIONAL RESEARCH JOURNAL OF AGRICULTURAL ECONOMICS AND STATISTICS 11, no. 2 (2020): 248–54. http://dx.doi.org/10.15740/has/irjaes/11.2/248-254.

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Farm production is the result of the transformation of various resources such as human labour, bullock power, mechanical power, water for irrigation, seeds, manures and fertilizers, insecticides and pesticides and cultivation practices, etc. As these all factor inputs are costly and scarce, the case for their efficient use is self-evident. Moreover, farm resource endowment and the extent of their use on farms has a direct bearing in determining the overall level of crop production. Therefore, it is necessary to study the extent and magnitude of various farm endowments prevailing on farms in di

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Mandla, Ishita, and M. K. Vaidya. "Production function analysis for vegetable cultivation in Kullu valley of Himachal Pradesh: Application of Cobb-Douglas production model." Journal of Horticultural Sciences 18, no. 1 (2023): 223–27. http://dx.doi.org/10.24154/jhs.v18i1.2168.

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Vegetable cultivation plays a vital role in the agricultural economy of India. Agriculture is the main occupation of the people of Himachal Pradesh. Vegetable cultivation is facing challenges in profitability and economical use of resources. But a limited research has been done on resource use efficiency and elasticity of production in tomato, cauliflower and peas which are the major vegetable crops grown in Kullu. The present study was carried out in Kullu valley in the year 2019-2020 and multi-stage random sampling technique was used to select sixty farmers from different panchayats and vill

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Kilic, Osman, Vedat Ceyhan, H. Avni Cinemre, Mehmet Bozoglu, and John Sumelius. "Estimation of Normative Supply Function and Price Elasticity of Hazelnut: A Case Study in Turkey." HortScience 43, no. 3 (2008): 753–58. http://dx.doi.org/10.21273/hortsci.43.3.753.

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In this study, a variable price programming model was developed to derive normative hazelnut function and calculate price elasticity of supply for hazelnut in Carsamba Plain of Samsun, Turkey. Economic analysis revealed that the composition of the total assets of hazelnut farms seemed to be unbalanced. In addition, the efficiency of resource use was not adequate in sample hazelnut farms. Research results also showed that hazelnut production would stop on the Carsamba Plain completely when the hazelnut price is less than $ 0.57 per kilogram. Calculated price parities between hazelnut and corn,

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Evdokimov, V. B., A. A. Artamonov, E. V. Plotnikov, and N. A. Konstantinova. "RESOURCE-EFFICIENT METHODS FOR PREDICTING AND SELECTING HEAT-RESISTANT ALLOYS." Resource-Efficient Technologies, no. 2 (July 11, 2019): 17–28. http://dx.doi.org/10.18799/24056537/2019/2/233.

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The power plant resource efficiency is largely dependent on heat-resistant alloys and is limited by the standard turbine operating temperature, which is slightly greater than 1000°C. These temperature limits are dependent on the characteristics of the heat-resistant alloys used in power plants. The current research aimed to discover new heat-resistant alloys using computer-based models to simulate the various properties of such materials. The first-principle methods were initially used in this study. These methods can determine the most important properties of alloys with a high degree of accu

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Evdokimov, V. B., A. A. Artamonov, E. V. Plotnikov, and N. A. Konstantinova. "RESOURCE-EFFICIENT METHODS FOR PREDICTING AND SELECTING HEAT-RESISTANT ALLOYS." Resource-Efficient Technologies, no. 2 (July 11, 2019): 17–28. http://dx.doi.org/10.18799/24056529/2019/2/233.

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The power plant resource efficiency is largely dependent on heat-resistant alloys and is limited by the standard turbine operating temperature, which is slightly greater than 1000°C. These temperature limits are dependent on the characteristics of the heat-resistant alloys used in power plants. The current research aimed to discover new heat-resistant alloys using computer-based models to simulate the various properties of such materials. The first-principle methods were initially used in this study. These methods can determine the most important properties of alloys with a high degree of accu

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Pradeep Chinnam. "Elasticity and Auto-Scaling for Cloud-Based Search Services." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3623–34. https://doi.org/10.32628/cseit251112361.

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Modern search services face increasing challenges in managing unpredictable workloads while maintaining optimal performance and cost-effectiveness. The rapid growth in enterprise search queries has necessitated sophisticated auto-scaling mechanisms and elastic infrastructure solutions. This content explores the evolution of search service architecture, focusing on workload characteristics, performance optimization, and implementation strategies. The transformation from traditional static provisioning to intelligent auto-scaling has revolutionized search service capabilities, significantly impr

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Gbigbi, Theophilus Miebi, and V. A. A. Chuks-Okonta. "Profitability and Resource Use Efficiency in Cassava Production: Evidence from Delta State, Nigeria." International Journal of Research and Review 8, no. 6 (2021): 199–207. http://dx.doi.org/10.52403/ijrr.20210624.

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Cassava has played and continues to play an outstanding role. The country's failure to meet current demand has been due to the efficiency of farmers' use of resources. The study examined resource use efficiency in cassava production. Data from 120 cassava producers were carefully chosen using random sampling procedure. Descriptive statistics and multiple regression model were applied to analyze the data. The results disclosed that the greater part of the growers were female with mean age of 45 years, educated and married. The mean household size was 6 persons with mean farming experience of 16

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Barnhart, Bradley, Marc Brooker, Daniil Chinenkov, et al. "Resource Management in Aurora Serverless." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4038–50. http://dx.doi.org/10.14778/3685800.3685825.

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Amazon Aurora Serverless is an on-demand, autoscaling configuration for Amazon Aurora with full MySQL and PostgreSQL compatibility. It automatically offers capacity scale-up/down (i.e., vertical scaling) based on a customer database application's needs. For customers with time-varying workloads, it offers cost savings compared to provisioned Aurora or other alternatives due to its agile and granular scaling and its usage-based charging model. This paper describes the key ideas underlying Aurora Serverless's resource management. To help meet its goals, Aurora Serverless adapts and fine tunes we

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Santos, João, Miguel Viana, Jaime Nieto, Paul E. Brockway, Marco Sakai, and Tiago Domingos. "The Impact of Energy Efficiency on Economic Growth: Application of the MARCO Model to the Portuguese Economy 1960–2014." Energies 17, no. 11 (2024): 2688. http://dx.doi.org/10.3390/en17112688.

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The benefits of energy efficiency are recognized in multiple socio-economic spheres. Still, the quantitative impact on macroeconomic performance is not fully understood, as modeling tools are not thermodynamically consistent—failing to explicitly include the useful stage of energy flows and/or thermodynamic efficiencies in primary–final–useful energy transformations. Misspecification in the link between energy use and the economy underplays the role of energy use and efficiency in economic growth. In this work, we develop and implement the Macroeconometric Resource Consumption model for Portug

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Liu, Guangyi, Na Li, Chunjing Yuan, Siqi Chen, and Xuan Liu. "Service-Based Architecture for 6G RAN: A Cloud Native Platform That Provides Everything as a Service." Sensors 25, no. 14 (2025): 4428. https://doi.org/10.3390/s25144428.

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The 5G network’s commercialization has revealed challenges in providing customized and personalized deployment and services for diverse vertical industrial use cases, leading to high cost, low resource efficiency and management efficiency, and long time to market. Although the 5G core network (CN) has adopted a service-based architecture (SBA) to enhance agility and elasticity, the radio access network (RAN) keeps the traditional integrated and rigid architecture and suffers the difficulties of customizing and personalizing the functions and capabilities. Open RAN attempted to introduce cloudi

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Li, Ziyang, Jiong Yu, Chen Bian, et al. "Flink-ER: An Elastic Resource-Scheduling Strategy for Processing Fluctuating Mobile Stream Data on Flink." Mobile Information Systems 2020 (May 20, 2020): 1–17. http://dx.doi.org/10.1155/2020/5351824.

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As real-time and immediate feedback becomes increasingly important in tasks related to mobile information, big data stream processing systems are increasingly applied to process massive amounts of mobile data. However, when processing a drastically fluctuating mobile data stream, the lack of an elastic resource-scheduling strategy limits the elasticity and scalability of data stream processing systems. To address this problem, this paper builds a flow-network model, a resource allocation model, and a data redistribution model as the foundation for proposing Flink with an elastic resource-sched

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Bhanuprakash, Madupati. "Serverless Architectures and Function-as-a-Service (FaaS): Scalability, Cost Efficiency, and Security Challenges." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 2 (2023): 1–11. https://doi.org/10.5281/zenodo.13995962.

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Serverless computing and Function-as-a-Service (FaaS) have become the new “new hotness” in cloud computing. Since FaaS completely abstracts away the infrastructure, developers are left with having to write only their app logic — a very cost-effective and scalable solution for modern workloads. This paper looks at the rise of serverless architectures through these key platforms. We get answers on the benefits of the scalability and elasticity models and cost implications compared with traditional server-based infrastructures. The case study demonstrates how the pay-per-executi

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Nababan, Tongam Sihol, and Elvis Fresly Purba. "Efficiency of labor allocation: An observation in Indonesian Standard Industrial Classification (ISIC)." Forum for Economic and Financial Studies 2, no. 1 (2024): 402. http://dx.doi.org/10.59400/fefs.v2i1.402.

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This study aims to analyze the efficiency and elasticity of the large and medium manufacturing industry sector in Indonesia from 2012 to 2020. The analysis focuses on the 24 subsectors within the 2-digit Indonesian Standard Industrial Classification (ISIC) principal groups 10 to 33. The efficiency level of the manufacturing industry sector was analyzed using the Cobb-Douglas production function model with linear logarithmic transformation. During the period 2012–2020, the production efficiency of the 24 ISIC 2-digit subsectors increased by an average of 445%, or 4 times higher than before. The

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Guschenskaya, N., Marina Sumarokova, and Alina Kovshova. "Assessment of the resource potential of agricultural organizations in the Kurgan region." Agrarian Bulletin of the 215, no. 12 (2021): 87–97. http://dx.doi.org/10.32417/1997-4868-2021-215-12-87-97.

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Abstract. The purpose of the research is to comprehensively assess the resource potential of agricultural organizations in the Kurgan region to form the trajectory of their development and determine the contribution to agricultural production in the region. Methods. The study was based on the use of statistical and econometric methods for collecting, processing, modeling data. It is based on the assessment of the use of the following functional components of the resource potential: land, material and technical, personnel, innovation and financial. At the same time, the dynamic assessment for e

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IROEGBU, I. OKIDIM I.A, B.D NEKABARI, and C. AGBAGWA. "Resource Efficiency and Profitability in Yam Production amongst Small Scale Yam Farmers in IMO State, Nigeria." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 1759–70. https://doi.org/10.5281/zenodo.6893287.

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The study was carried out to examine the resource use efficiency and profitability of small scale yam farmers in Imo State Nigeria. The objectives includes, identifying the socio-economic characteristics of the yam farmers and examine the level or range of technical allocative and economic efficiency of yam farmers as well as identify constraints militating against yam production in Imo State. Secondary and primary data were collected from 150 respondents, through a well-structured questionnaire, journals, CBN bulletins and reports etc. Data analysis was done using descriptive and inferential

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Kurniati, Edy Dwi, and Sucihatiningsih Dian Wisika Prajanti. "Batik SMEs Efficiency and Entrepreneurship Role in Innovation." JEJAK 11, no. 2 (2018): 375–89. http://dx.doi.org/10.15294/jejak.v11i2.16058.

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In the long term, batik SMEs to compete in the local and global markets can not only rely on production capabilities rooted in local sources of uniqueness, but must have efficiency of economies scale for resource access and innovation. In a competitive environment, entrepreneurs in the batik industry have an important role to improve the efficiency. This study analyzed the role of entrepreneurs in the economic efficiency. This study applies production model to describe the entrepreneurs role on economic efficiency. The study was conducted by interviews to 100 Batik SMEs managers-owners in the

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Hasan, Raed A., and Teba Majed Hameed. "Optimizing Cloud Computing: Balancing Cost, Reliability, and Energy Efficiency." Babylonian Journal of Artificial Intelligence 2025 (April 15, 2025): 64–71. https://doi.org/10.58496/bjai/2025/006.

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Cloud computing is such a revolution concerning the IT world offering computing as services capable of diminishing operational costs and complications. Recently, these service models, ranging from IaaS, PaaS, and SaaS, and deployment models in private, public, and hybrid clouds, offer users almost unlimited computing and storage capabilities on a pay-per-use basis. This elasticity of cloud systems makes it very easy to dynamically provision and de-provision resources to cater to very different needs. This facility has led to its widespread use within domains such as social networking, defense,

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Raviteja Guntupalli. "Predictive cloud resource management: Developing ml models for accurately predicting workload demands (CPU, memory, network, storage) to enable proactive auto-scaling. AI-driven instance type selection and rightsizing. predicting spot instance interruptio." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 880–85. https://doi.org/10.30574/wjarr.2025.26.2.1522.

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The modern information technology revolution brought about by cloud computing affects how organizations handle their infrastructure provisioning along with scaling and management. Yet, these organizations continuously fight to maximize cloud resource utilization. Systems that either provide excessive capacity or insufficient resources face the problem of increased expenses together with potential performance deterioration. The paper explores the creation and deployment of machine learning (ML) models that precisely forecast cloud workload requirements for proactive resource management systems.

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Sus, Taras, Iryna Stoianenko, Oksana Penkova, and Olga Makushok. "ASSESSING THE IMPACT OF RESOURCE INNOVATION POTENTIAL ON THE FINANCIAL EFFICIENCY OF THE UKRAINIAN AGRICULTURAL SECTOR." Academic Review 2, no. 59 (2023): 113–30. http://dx.doi.org/10.32342/2074-5354-2023-2-59-8.

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The purpose of the study is to improve the methodological support for the assessment of the financial efficiency of the agricultural sector of Ukraine under the influence of the innovative potential management of its resource provision. The main scientific methods used in the study are fundamental provisions of the theory of innovation and finance, correlation and multifactor regression analysis, mathematical programming, etc. According to the results of the conducted research the parameter of technological progress as an indicator of the level of innovation development of the agrarian sector

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N.M.V, Miss Nirmala. "Market Dynamics: Enhancing Supply Chain Efficiency Through Demand Prediction." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29914.

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This research gives a state-of-the-art solution for web-based demand forecasting. Machine learning methods are employed to build the approach, which takes use of Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling. Customers may utilize our system to provide product codes combined with the period's start and end dates in order to correctly anticipate future demand patterns. Through the combination of previous sales data with current market circumstances, competitive plans, and other external variables, our system is able to discover complicated consumer patterns. This gives dat

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Kravets, Svetlana. "ADAPTIVE INFLUENCE OF PRESSURE CHANGE OF THE HYDRAULIC SYSTEM OF THE HYDRAULIC DRIVE." ENGINEERING, ENERGY, TRANSPORT AIC, no. 4(119) (December 23, 2022): 55–60. http://dx.doi.org/10.37128/2520-6168-2022-4-7.

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The efficiency of hydrogenated machines of various technological purposes depends to a large extent on the temperature of the environment. Temperature is the main factor in the efficiency of the hydraulic drive, which changes the physical properties of the working fluid: viscosity, moisture content, gases and mechanical impurities, which determine its modulus of elasticity. Efficiency is significantly reduced both at low temperatures and at high temperatures. The high-temperature mode of the hydraulic drive reduces the technical and operational performance of hydraulic machines (construction a

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D. Jayadurga and A. Chandrabose. "Expanding the quantity of virtual machines utilized within an open-source cloud infrastructure." Scientific Temper 15, spl-1 (2024): 314–20. https://doi.org/10.58414/scientifictemper.2024.15.spl.37.

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As cloud computing continues to evolve, the efficient management and scalability of virtual machines (VMs) have become pivotal for maximizing performance and resource utilization, particularly within open-source cloud infrastructures. This literature review investigates existing approaches and methodologies focused on expanding the number of VMs in open-source cloud environments. Key topics include the impact of VM scaling on resource allocation, load balancing, and energy efficiency, as well as the role of orchestration tools and hypervisor optimization in handling large-scale VM deployments.

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Charan C S. "Improving Energy Efficiency in Cloud Computing Data centres Using Intelligent Mobile Agents." international journal of engineering technology and management sciences 6, no. 5 (2022): 748–52. http://dx.doi.org/10.46647/ijetms.2022.v06i05.116.

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Cloud computing has become a profound name and also a solid bedrock for new emerging technology. Cloud technology fully supports the dynamic provisioning of computing resources as a utility service on a pay-as-you-go approach. Its numerous benefits (such as rapid elasticity, flexibility, network resource pooling) empower small, medium, and large enterprises to use other technologies through the Internet's flexibility. Despite the benefits cloud technology offers, the challenge of the high power consumption rate it incurs as it leverages its promised attributes remains a major concern. Academic

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Yang, Yun. "The Impact of Green Finance and Resource Tax Policy on Regional Energy Efficiency Based on the Non-Desired Output Super-Efficiency SBM-Tobit Model." Sustainability 15, no. 14 (2023): 11438. http://dx.doi.org/10.3390/su151411438.

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With the continuous growth of the global population and rapid economic development, the demand for energy is increasing, and the increasing scarcity of energy resources and severity environmental problems have become important factors limiting sustainable economic and social development. Therefore, achieving sustainable energy development has received global attention. The main purpose of this work was to measure the energy efficiency (EE) of different regions based on China’s 2008–2021 panel data using the super-efficient SBM model and to examine the roles of green finance and resource tax po

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Alshurideh, Muhammad Turki, Barween Al Kurdi, Anwar Al-Gasaymeh, and Ahmad AlHamad. "IMPACT TRANSPORTATION ELASTICITY ON SUPPLY CHAIN EFFICIENCY AT MARITIME INDUSTRY IN THE UAE." International Journal of Theory of Organization and Practice (IJTOP) 2, no. 1 (2022): 1–15. http://dx.doi.org/10.54489/ijtop.v2i1.164.

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This research aims to identify the factors affecting transportation elasticity and its impact on supply chain efficiency. Transportation sector requires specific attention to contribute in developing economies. The research from various resources helped to gather theoretical evidences which support our research model. In order to do deep review of prior researches transportation provides significant benefits to supply chains and logistics companies. To remain competitive in this sector, businesses rely on technological means and methods, as well as supply chain operations efficiently.

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Kim, Andrey. "The Contribution of Intensive and Extensive Factors to Labor Productivity Dynamics in the Russian Far East." Regionalistica 10, no. 3 (2023): 26–39. http://dx.doi.org/10.14530/reg.2023.3.26.

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The growth rate of labor productivity is the most significant indicator of the standard of living and income of the population. In this regard, the question of the factors of economic growth is relevant. In this study, estimates of the contribution from economic efficiency (intensive factors) and the production factors’ growth rate (extensive factors) to the dynamics of the labor productivity for the regions of the Far Eastern Federal District in the period 2002–2020 were obtained. Due to the structural heterogeneity of the Far East, the analysis was carried out for two groups of regions: «Nor

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Chetty, Raj. "Is the Taxable Income Elasticity Sufficient to Calculate Deadweight Loss? The Implications of Evasion and Avoidance." American Economic Journal: Economic Policy 1, no. 2 (2009): 31–52. http://dx.doi.org/10.1257/pol.1.2.31.

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Martin Feldstein's (1999) widely used taxable income formula for deadweight loss assumes the marginal social cost of evasion and avoidance equals the tax rate. This condition is likely to be violated in practice for two reasons. First, some of the costs of evasion and avoidance are transfers to other agents. Second, some individuals overestimate the costs of evasion and avoidance. In such situations, excess burden depends on a weighted average of the taxable income and total earned income elasticities, with the weight determined by the resource cost of sheltering income from taxation. This gen

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Mivumbi, Michel, and Xiaoling Yuan. "Sustainable Environmental Economics in Farmers’ Production Factors via Irrigation Resources Utilization Using Technical Efficiency and Allocative Efficiency." Sustainability 15, no. 5 (2023): 4101. http://dx.doi.org/10.3390/su15054101.

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This study reports the results of farmers’ production via irrigation resources utilization and efficiency parameters of technical efficiency and allocative efficiency by way of sustainable environmental economics. The hypothesis is that factors of farmers’ production affect technical efficiency and allocative efficiency in the irrigation scheme as sustainable environmental economics. Data from cross section and panel data were used and then the productivity parameters measurement of the production function are outlined in two scenarios: first, the data report that the parameters such as output

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Sahani, Suresh Kumar, and Santosh Kumar Karna. "Program for Cultural Education Optimization by the Application of Numerical Methods." Journal of Posthumanism 5, no. 1 (2025): 1611–27. https://doi.org/10.63332/joph.v5i1.2687.

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Cultural education is of critical importance in the process of conserving and conveying the socio-cultural identity of communities, especially in countries that are bilingual and multiethnic. On the other hand, despite the fact that resource limits and geographical inequities continue to exist, differences in the accessibility and efficiency of cultural programs continue to be a chronic concern. From the findings of this research, an optimization framework that is based on numerical approaches is proposed with the intention of improving the efficiency of cultural education programs. Through th

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Yu, Siyuan, Chenlong Xu, Zhikang Zhai, Yuefeng Zheng, and Yu Shen. "Differential Pricing Strategies for Airport Shuttles: A Study of Shanghai Based on Customized Bus Ticketing Data." Sustainability 16, no. 16 (2024): 6853. http://dx.doi.org/10.3390/su16166853.

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Airport shuttle buses, as a specialized form of bus service, serve as an economical, efficient, and sustainable transportation option for air travelers. In contrast to conventional bus services, airport shuttle bus operations exhibit more pronounced market-oriented characteristics, striving to balance extensive public transport coverage with the optimization of corporate profitability. Although these services outperform regular bus transit in terms of efficiency, they incur higher operational costs. However, existing studies on enhancing profitability and optimizing resource allocation for air

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Zhang, Yuan, Zhen Yu, and Juan Zhang. "Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin." PLOS ONE 17, no. 3 (2022): e0264274. http://dx.doi.org/10.1371/journal.pone.0264274.

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The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and

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Ilyina, Elena A., and Leonid A. Saraev. "On the calculation of the effective capitalization ratio for a one-factor manufacturing enterprise." Vestnik of Samara University. Economics and Management 13, no. 1 (2022): 103–19. http://dx.doi.org/10.18287/2542-0461-2022-13-1-103-119.

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The published article proposes a new economic-mathematical model of the development dynamics of a one-factor enterprise, the restoration of the production resource of which is ensured by capitalization of profits. The features of this model are that to calculate the profit of the enterprise, a production function with variable resource elasticity and an exponential function of production costs are used. To calculate the amortization of a production resource, a differential equation is formulated, the solutions of which can describe the cases of proportional, progressive and digressive amortiza

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Bawono, Anton, Agus Waluyo, and Asfa Widiyanto. "Strategies to Inelasticize the Halal Food Industry in Indonesia." OIKONOMIKA : Jurnal Kajian Ekonomi dan Keuangan Syariah 5, no. 1 (2024): 80–100. http://dx.doi.org/10.53491/oikonomika.v5i1.1194.

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This research has three main objectives. First, to analyze the potential and prospects of the halal food industry in Indonesia. Second, analyze the elasticity of the halal food industry in Indonesia. Finally, formulate a strategy to inelasticize the halal food industry in Indonesia. The research approach used in this study is mixed methods, which combines quantitative and qualitative research. There are several important findings in this study. First, the potential and projection of the halal food industry in Indonesia, which is based on estimates for 2021, continues to grow. Second, the facto

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