Log in

Relevant bibliographies by topics / Data center / Journal articles

To see the other types of publications on this topic, follow the link: Data center.

Journal articles on the topic 'Data center'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 March 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Data center.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Srivastava, Ankit, and Jatin Nagpal. "Ideal Architecture for Security Operation Center Complementing Data Centers: An Overview." International Journal of Science and Research (IJSR) 10, no. 12 (December 27, 2021): 77–79. https://doi.org/10.21275/sr211130123410.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

T, Mr Ganesh, Dr Nirmal kumar A, and M. Gurubala. "Effective Bandwidth Assurance in Data Center." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-Active Galaxy (June 30, 2018): 65–69. http://dx.doi.org/10.31142/ijtsrd16966.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Widyanto, Toto, and Widjojo Hardjoprakoso. "Greenship Data Center – A Green Data Centre Standard for Indonesia." Proceeding of the International Conference on Multidisciplinary Research for Sustainable Innovation 1 (August 12, 2024): 492–500. http://dx.doi.org/10.31098/icmrsi.v1i.836.

Full text

Abstract:

Data centers are becoming increasingly important in today's digital age, as they offer a more sustainable and energy-efficient approach to managing and storing data. With the growing awareness of environmental impact and the need for sustainable practices, it is crucial to develop standardized rating tools for green data centers. This paper aims to provide a comprehensive overview of the development process of green data center standard rating tools, tailored to the unique context and challenges faced by Indonesia. The Greenship Data Center (DC) is developed by a collaboration between the Green Building Council Indonesia (GBC Indonesia) and IPUSTAH-ID (Ikatan Profesional Pusat Data Hijau Indonesia - Association of Indonesia Green Data Center Professionals). This paper also explores the key components and considerations for developing the Greenship DC. Furthermore, challenges and potential solutions will be addressed for implementing these rating tools in the Indonesian context.

APA, Harvard, Vancouver, ISO, and other styles

4

Rusdiana, Komang Ery, linawati linawati, and I. Made Oka Widyantara. "Green Data Center Design of Udayana University." Majalah Ilmiah Teknologi Elektro 15, no. 2 (December 15, 2016): 39–44. http://dx.doi.org/10.24843/mite.1502.07.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Manda, Jeevan. "Data Center Optimization for Telecom: Implementing Cost-Effective Strategies to Optimize Data Center Operations in Telecom, Focusing on Efficiency Improvements and Cost Reduction Initiatives, Aligned with Your Data Center Optimization Expertise." International Journal of Science and Research (IJSR) 8, no. 3 (March 5, 2019): 1981–87. http://dx.doi.org/10.21275/sr24907112459.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Daim, Tugrul, Jay Justice, Mark Krampits, Matthew Letts, Ganesh Subramanian, and Mukundan Thirumalai. "Data center metrics." Management of Environmental Quality: An International Journal 20, no. 6 (September 25, 2009): 712–31. http://dx.doi.org/10.1108/14777830910990870.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Kant, Krishna. "Data center evolution." Computer Networks 53, no. 17 (December 2009): 2939–65. http://dx.doi.org/10.1016/j.comnet.2009.10.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Makholm, Jeff D., and Laura T. W. Olive. "Data Center Problems." Climate and Energy 41, no. 4 (October 7, 2024): 21–26. http://dx.doi.org/10.1002/gas.22431.

Full text

Abstract:

“Hyperscale” data centers accompanying the rapid growth of artificial intelligence (AI) is one of the fastest growing uses of electricity in the United States and the rest of the world. Indeed, such growth, with the retirement of dispatchable fossil fuel electricity plants, drives persistent warnings about potential reliability problems for the US power system. As Federal Energy Regulatory Commission's (FERC's) Commissioner Mark Christie warned in late July, to the House Subcommittee on Energy, Climate, and Grid Security.

APA, Harvard, Vancouver, ISO, and other styles

9

Santos, Alexandre F., Pedro D. Gaspar, and Heraldo J. L. de Souza. "New Data Center Performance Index: Perfect Design Data Center—PDD." Climate 8, no. 10 (October 4, 2020): 110. http://dx.doi.org/10.3390/cli8100110.

Full text

Abstract:

Data Centers (DC) are specific buildings that require large infrastructures to store all the information needed by companies. All data transmitted over the network is stored on CDs. By the end of 2020, Data Centers will grow 53% worldwide. There are methodologies that measure the efficiency of energy consumption. The most used metric is the Power Usage Effectiveness (PUE) index, but it does not fully reflect efficiency. Three DC’s located at the cities of Curitiba, Londrina and Iguaçu Falls (Brazil) with close PUE values, are evaluated in this article using the Energy Usage Effectiveness Design (EUED) index as an alternative to the current method. EUED uses energy as a comparative element in the design phase. Infrastructure consumption is the sum of energy with Heating, Ventilating and Air conditioning (HVAC) equipment, equipment, lighting and others. The EUED values obtained were 1.245 (kWh/yr)/(kWh/yr), 1.313 (kWh/yr)/(kWh/yr) and 1.316 (kWh/yr)/(kWh/yr) to Curitiba, Londrina and Iguaçu Falls, respectively. The difference between the EUED and the PUE Constant External Air Temperature (COA) is 16.87% for Curitiba, 13.33% for Londrina and 13.30% for Iguaçu Falls. The new Perfect Design Data center (PDD) index prioritizes efficiency in increasing order is an easy index to interpret. It is a redefinition of EUED, given by a linear equation, which provides an approximate result and uses a classification table. It is a decision support index for the location of a Data Center in the project phase.

APA, Harvard, Vancouver, ISO, and other styles

10

Guo, Le Jiang, Feng Zheng, Ya Hui Hu, Lei Xiao, and Liang Liu. "Analysis and Research of Cloud Computing Data Center." Applied Mechanics and Materials 427-429 (September 2013): 2184–87. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2184.

Full text

Abstract:

Cloud computing data centers can be called cloud computing centers. It has put forward newer and higher demands for data centers with the development of cloud computing technologies. This paper will discuss what are cloud computing data centers, cloud computing data center construction, cloud computing data center architecture, cloud computing data center management and maintenance, and the relationship between cloud computing data centers and clouds.

APA, Harvard, Vancouver, ISO, and other styles

11

Borodko, A. "CLASSIFICATION OF DATA CENTERS." Telecom IT 7, no. 1 (2019): 1–9. http://dx.doi.org/10.31854/2307-1303-2019-7-1-1-9.

Full text

Abstract:

The data center (DC) is the most progressive form of computing resources when it is necessary to provide services to a wide range of users. Research subject. The article discusses the classification of data centers, their main functions, composition, purpose of creation and factors affecting them. Methodology and core results. The article provides a classification and structural analysis of the methods and technologies for constructing information storage and processing systems. In the work with a systematic approach analyzed factors affecting data centers. Practical relevance. It consists in the possibility of using the proposed classification in the tasks of systematically introducing the Internet of things devices into the data center, implementing software-defined data centers and developing methods for assessing the effectiveness of the functioning of the data center.

APA, Harvard, Vancouver, ISO, and other styles

12

Karamat Khan, Tehmina, Mohsin Tanveer, and Asadullah Shah. "Energy Efficiency in Virtualized Data Center." International Journal of Engineering & Technology 7, no. 4.15 (October 7, 2018): 315. http://dx.doi.org/10.14419/ijet.v7i4.15.23019.

Full text

Abstract:

Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies.

APA, Harvard, Vancouver, ISO, and other styles

13

Bichell, David. "Multi-center Data Frames Single-center Questions." World Journal for Pediatric and Congenital Heart Surgery 10, no. 3 (May 2019): 268–69. http://dx.doi.org/10.1177/2150135119838779.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Boskany, Najmadin Wahid, and Ahmed Chalak Shakir. "Data Center Temperature Monitoring via Simulated Sensor Network." Journal of Zankoy Sulaimani - Part A 16, no. 4 (October 16, 2014): 25–30. http://dx.doi.org/10.17656/jzs.10343.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Chong, Frederic T., Martijn J. R. Heck, Parthasarathy Ranganathan, Adel A. M. Saleh, and Hassan M. G. Wassel. "Data Center Energy Efficiency:Improving Energy Efficiency in Data Centers Beyond Technology Scaling." IEEE Design & Test 31, no. 1 (February 2014): 93–104. http://dx.doi.org/10.1109/mdat.2013.2294466.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Uzaman, Sardar Khaliq, Atta ur Rehman Khan, Junaid Shuja, Tahir Maqsood, Faisal Rehman, and Saad Mustafa. "A Systems Overview of Commercial Data Centers." International Journal of Information Technology and Web Engineering 14, no. 1 (January 2019): 42–65. http://dx.doi.org/10.4018/ijitwe.2019010103.

Full text

Abstract:

Data center facilities play a vital role in present and forthcoming information and communication technologies. Internet giants, such as IBM, Microsoft, Google, Yahoo, and Amazon hold large data centers to provide cloud computing services and web hosting applications. Due to rapid growth in data center size and complexity, it is essential to highlight important design aspects and challenges of data centers. This article presents market segmentation of the leading data center operators and discusses the infrastructural considerations, namely energy consumption, power usage effectiveness, cost structure, and system reliability constraints. Moreover, it presents data center network design, classification of the data center servers, recent developments, and future trends of the data center industry. Furthermore, the emerging paradigm of mobile cloud computing is debated with respect to the research issues. Preliminary results for the energy consumption of task scheduling techniques are also provided.

APA, Harvard, Vancouver, ISO, and other styles

17

Tan, Xiao Long, Wen Bin Wang, and Yu Qin Yao. "Research of Network Virtualization in Data Center." Applied Mechanics and Materials 644-650 (September 2014): 2961–64. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2961.

Full text

Abstract:

With the rapid grow of the volume of data and internet application, as an efficient and promising infrastructure, data center has been widely deployed .data center provide a variety of perform for network services, applications such as video stream, cloud compute and so on. All this services and applications call for volume, compute, bandwidth, and latency. Existing data centers lacks enough flexible so they provide poor support in QOS, deployability, manageability, and defense when facing attacks. Virtualized data centers are a good solution to these problems. Compared to existing data centers, virtualized data centers do better in resource utilization, scalability, and flexibility.

APA, Harvard, Vancouver, ISO, and other styles

18

Yang, Jing Bo, Shu Huang, and Pan Jiang. "Research on Distributed Heterogeneous Data Storage Algorithm in Cloud Computing Data Center." Applied Mechanics and Materials 624 (August 2014): 553–56. http://dx.doi.org/10.4028/www.scientific.net/amm.624.553.

Full text

Abstract:

With the development of cloud computing, data center is also improved. cloud computing data center contains hundreds, even million of servers or PCs. It has many heterogeneous resources. Data center is a key to promise high scalability and resource usage of cloud computing. In addition, replica is introduced into data center, which is an important method to improve availability and performance. In this paper, the research on distributed storage algorithm based on the cloud computing. This algorithm uses the design of system storage level indicators within classification of massive data storage mechanism to solve the allocation problem of data consistency between the data center; and send communication packets between data centers through the cloud computing. The full storage can achieve complete local storage of each data stream, and solve the original data stream unusually large-scale data storage allocation problem.

APA, Harvard, Vancouver, ISO, and other styles

19

Ikeda, Robin M., Jeffrey J. Sacks, Peter A. Briss, and David G. Addiss. "Assessment of Telephone Survey Data." Pediatrics 94, no. 3 (September 1, 1994): 405–6. http://dx.doi.org/10.1542/peds.94.3.405.

Full text

Abstract:

The article by Briss et al1 describes injuries at child care centers using information collected through a telephone survey of center directors. Telephone surveys have been used to collect information about child care centers regarding injuries,2 safety practices,3 and infectious diseases.4-8 To evaluate the quality of the data obtained during telephone interviews, we compared the telephone responses of day care center directors with written responses to the same questions from care givers working in those centers.

APA, Harvard, Vancouver, ISO, and other styles

20

Jinyin, Chen, He Huihao, Chen Jungan, Yu Shanqing, and Shi Zhaoxia. "Fast Density Clustering Algorithm for Numerical Data and Categorical Data." Mathematical Problems in Engineering 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/6393652.

Full text

Abstract:

Data objects with mixed numerical and categorical attributes are often dealt with in the real world. Most existing algorithms have limitations such as low clustering quality, cluster center determination difficulty, and initial parameter sensibility. A fast density clustering algorithm (FDCA) is put forward based on one-time scan with cluster centers automatically determined by center set algorithm (CSA). A novel data similarity metric is designed for clustering data including numerical attributes and categorical attributes. CSA is designed to choose cluster centers from data object automatically which overcome the cluster centers setting difficulty in most clustering algorithms. The performance of the proposed method is verified through a series of experiments on ten mixed data sets in comparison with several other clustering algorithms in terms of the clustering purity, the efficiency, and the time complexity.

APA, Harvard, Vancouver, ISO, and other styles

21

Zhang, Yan. "Data Center Virtualization: Challenges and Innovations in Data Protection." Journal of Progress in Engineering and Physical Science 3, no. 4 (December 2024): 66–75. https://doi.org/10.56397/jpeps.2024.12.10.

Full text

Abstract:

With the rapid development of information technology, data center virtualization has become a key technology to improve resource utilization and reduce operational costs. However, the complexity and dynamism of virtualized environments bring new challenges to data protection. This paper aims to explore the application of data center virtualization technology and deeply analyze the strategies and technologies for data protection in virtualized environments. The article first reviews the development history of data center virtualization technology and the theoretical basis of data protection, then discusses in detail the application of virtualization technology in actual data centers, including virtualization architecture, implementation steps, and optimization strategies. Subsequently, the paper focuses on analyzing key data protection technologies such as data backup and recovery, data encryption, and the assurance of data integrity and availability, and discusses the practical application of these technologies in virtualized environments. In addition, the article identifies the challenges faced by data protection in virtualized environments and proposes corresponding countermeasures. Finally, the paper summarizes the research findings and offers suggestions for future research directions. Through in-depth research on data center virtualization and data protection, this paper provides theoretical guidance and practical references for data center managers to ensure the security and reliability of data in virtualized environments.

APA, Harvard, Vancouver, ISO, and other styles

22

Rongon, Rabab Khan, and Krishna Das. "An energy-efficient cloud data center architectural model for the national data center of Bangladesh." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 6 (2024): 1905–17. http://dx.doi.org/10.47974/jdmsc-1916.

Full text

Abstract:

This study presents an energy-efficient cloud data center architecture concept for Bangladesh’s National Data Center. To reduce energy consumption and operational expenses, the model employs virtualization and load-balancing techniques, as well as renewable energy sources. The simulation results demon- strate that the model may drastically cut energy usage while maintaining high levels of performance and dependability. This research contributes to the worldwide challenge of climate change by offering a long-term solution for reducing the environmental effect of cloud data centers while maintaining the quality of cloud computing services.

APA, Harvard, Vancouver, ISO, and other styles

23

Buckley, N., I. M. Whyte, and A. H. Dawson. "Poison Center Data Misleading." Journal of Toxicology: Clinical Toxicology 31, no. 3 (January 1993): 499–500. http://dx.doi.org/10.3109/15563659309000420.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Anderson, Sean F. "Improving Data Center Efficiency." Energy Engineering 107, no. 5 (August 2010): 42–63. http://dx.doi.org/10.1080/01998595.2010.10121753.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Alizadeh, Mohammad, Albert Greenberg, David A. Maltz, Jitendra Padhye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and Murari Sridharan. "Data center TCP (DCTCP)." ACM SIGCOMM Computer Communication Review 40, no. 4 (August 16, 2010): 63–74. http://dx.doi.org/10.1145/1851275.1851192.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Fainman, Y., and G. Porter. "Directing Data Center Traffic." Science 342, no. 6155 (October 10, 2013): 202–3. http://dx.doi.org/10.1126/science.1242906.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Woods, Andy. "Cooling the data center." Communications of the ACM 53, no. 4 (April 2010): 36–42. http://dx.doi.org/10.1145/1721654.1721671.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Woods, Andy. "Cooling the Data Center." Queue 8, no. 3 (March 2010): 10–19. http://dx.doi.org/10.1145/1737923.1737963.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Cui, Yong, Hongyi Wang, Xiuzhen Cheng, and Biao Chen. "Wireless data center networking." IEEE Wireless Communications 18, no. 6 (December 2011): 46–53. http://dx.doi.org/10.1109/mwc.2011.6108333.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Cutler, Ben, Spencer Fowers, Jeffrey Kramer, and Eric Peterson. "Dunking the data center." IEEE Spectrum 54, no. 3 (March 2017): 26–31. http://dx.doi.org/10.1109/mspec.2017.7864753.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Bieswanger, Andreas, Hendrik F. Hamann, and Hans-Dieter Wehle. "Energy Efficient Data Center." it - Information Technology 54, no. 1 (February 2012): 17–23. http://dx.doi.org/10.1524/itit.2012.0659.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Kabay, M. E. "Staffing the data center." Ubiquity 2003, May (May 2003): 2. http://dx.doi.org/10.1145/782792.782794.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Liu, Zhenhua, Adam Wierman, Yuan Chen, Benjamin Razon, and Niangjun Chen. "Data center demand response." ACM SIGMETRICS Performance Evaluation Review 41, no. 1 (June 14, 2013): 341–42. http://dx.doi.org/10.1145/2494232.2465740.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Zucchi, Wagner Luiz, and Anderson Barreto Amâncio. "Construindo um Data Center." Revista USP, no. 97 (May 30, 2013): 43. http://dx.doi.org/10.11606/issn.2316-9036.v0i97p43-58.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Mone, Gregory. "Redesigning the data center." Communications of the ACM 55, no. 10 (October 2012): 14–16. http://dx.doi.org/10.1145/2347736.2347742.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Mavromichalaki, H., M. Gerontidou, G. Mariatos, M. Papailiou, A. Papaioannou, C. Plainaki, C. Sarlanis, and G. Souvatzoglou. "Athens Neutron Monitor Data Processing Center – ANMODAP Center." Advances in Space Research 44, no. 10 (November 2009): 1237–46. http://dx.doi.org/10.1016/j.asr.2009.02.018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Sinha, RIshabh. "Understanding In-Depth About Data Centre Security: Core Concepts & Market Growth." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 623–26. http://dx.doi.org/10.22214/ijraset.2022.42265.

Full text

Abstract:

Abstract: Enterprises often perceive Data Centers as a key resource and demand dedicated security initiatives. Further, the emergence of security of the Data Center is playing a critical role in security-critical applications and data in a virtualized environment through optimal safeguarding. The providers of the Data Center have increased their focus. They have shown their participation in the market by enhancing products to augment the increasing demand for Data Center security solutions to address the rising needs of growing industries. This paper discusses various concepts of Data Center security along with its projected market growth on a global level. Keywords: Data Centers, Data Center Security, Data Center Security Importance, Data Center Security Market Growth, Data Center Security Practices

APA, Harvard, Vancouver, ISO, and other styles

38

Rajput, Ravindra Kumar Singh, Dinesh Goyal, Anjali Pant, Gajanand Sharma, Varsha Arya, and Marjan Kuchaki Rafsanjani. "Cloud Data Centre Energy Utilization Estimation." International Journal of Cloud Applications and Computing 12, no. 1 (January 1, 2022): 1–16. http://dx.doi.org/10.4018/ijcac.311035.

Full text

Abstract:

Due to the growth of the internet and internet-based software applications, cloud data center demand has increased. Cloud data centers have thousands of servers that are 24×7 working for users; it is the strong witness of enormous energy consumption for the operation of the cloud data center. However, server utilization is not remaining the same all the time, so, from an economic feasibility point of view, energy management is an essential activity for cloud resource management. Some well-known energy management techniques for cloud data centers generally used are dynamic voltage and frequency scaling (DVFS), dynamic power management (DPM), and task scheduling-based techniques. The present work is based on an analytical approach to integrating resource provisioning with sophisticated task scheduling; the authors estimate energy utilization by cloud data centers using iDR cloud simulator. The work is intended to optimize power consumption in the cloud data center.

APA, Harvard, Vancouver, ISO, and other styles

39

Liu, Jun, Longchuan Yan, Chengxu Yan, Yeliang Qiu, Congfeng Jiang, Yang Li, Yan Li, and Christophe Cérin. "Escope: An Energy Efficiency Simulator for Internet Data Centers." Energies 16, no. 7 (March 31, 2023): 3187. http://dx.doi.org/10.3390/en16073187.

Full text

Abstract:

Contemporary megawatt-scale data centers have emerged to meet the increasing demand for online cloud services and big data analytics. However, in such large-scale data centers, servers of different generations are installed gradually year by year, making the data center heterogeneous in computing capability and energy efficiency. Furthermore, due to different processor architectures, complex and diverse load dynamic changing, business coupling, and other reasons, operators pay great attention to processor hardware power consumption and server aggregation energy efficiency. Therefore, the simulation and analysis of the energy efficiency characteristics of data center servers under different processor architectures can help operators understand the energy efficiency characteristics of data centers and make the optimal task scheduling strategy. This is very beneficial for improving the energy efficiency of the production system and the entire data center. The Escope simulator designed in this study can simulate the online quantity (placement strategy) of different types of servers in the data center and the optimal operating range of the servers. The purpose of this is to analyze the energy efficiency characteristics of all servers in the data center and provide data center operators with the energy efficiency and energy proportionality characteristics of different servers, improve server utilization, and perform reasonable scheduling. Through the simulation experiment of Escope, it can be proved that running the server at the highest energy efficiency point or running the server under full load cannot improve the energy efficiency of the entire data center. The simulation algorithm provided by Escope can select the optimal set of servers and their corresponding utilization. Escope can set up a variety of simulation strategies, and data center operators can simulate data center energy efficiency according to their own needs. Escope can also calculate the power cost savings of introducing new servers in the data center, which provides an essential reference for operators to purchase servers and design data centers.

APA, Harvard, Vancouver, ISO, and other styles

40

Pendyala, Samuel A., and Kody Snow. "Challenges in acoustical modeling of data centers." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 269, no. 2 (July 14, 2024): 403–8. http://dx.doi.org/10.3397/nc_2024_0049.

Full text

Abstract:

Data centers are physical infrastructures that house computing machines and related hardware equipment for data storage and processing. Due to the ever-increasing trend of cloud computing and the need for secure data storage, several organizations are involved in the development of large data center facilities. This new industry sector is seeing massive growth in recent years and municipalities and counties across the nation are welcoming the construction of data centers in their areas. Acoustical modeling for a data center can be challenging due to various factors and this article discusses a few such challenges that were experienced during the acoustical assessments of data center operations.

APA, Harvard, Vancouver, ISO, and other styles

41

Ge, Chang Rong, and Xian Qing Zheng. "Free Cooling in High Heat Density Data Centers." Advanced Materials Research 1044-1045 (October 2014): 1159–62. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1159.

Full text

Abstract:

Data centers comprised of racks and corresponding servers form the backbone of today’s cloud computing. Continuous operation of large numbers of servers can generate large amounts of heat which in turn requires high capacity cooling systems. These cooling systems can consume a significant portion of the energy required to run a data center and can negatively impact data center efficiency. With increasing operational costs, the data center industry has started to actively search for efficiency improvements to slow down the rising cost of running services. One of the most prominent ways to cut power consumption is free cooling, which uses outside air for cooling IT equipment completely or part of the time. This system is often used in colder climates and requires less energy since it doesn’t use compressors for cooling incoming air. This paper presents an evaluation of Shanghai as a data center location. As temperature affects data center cooling consumption, focus of the paper is on evaluating optimal operating conditions for local data centers.

APA, Harvard, Vancouver, ISO, and other styles

42

Fernández-Cerero, Damián, Alejandro Fernández-Montes, and Francisco Velasco. "Productive Efficiency of Energy-Aware Data Centers." Energies 11, no. 8 (August 8, 2018): 2053. http://dx.doi.org/10.3390/en11082053.

Full text

Abstract:

Information technologies must be made aware of the sustainability of cost reduction. Data centers may reach energy consumption levels comparable to many industrial facilities and small-sized towns. Therefore, innovative and transparent energy policies should be applied to improve energy consumption and deliver the best performance. This paper compares, analyzes and evaluates various energy efficiency policies, which shut down underutilized machines, on an extensive set of data-center environments. Data envelopment analysis (DEA) is then conducted for the detection of the best energy efficiency policy and data-center characterization for each case. This analysis evaluates energy consumption and performance indicators for natural DEA and constant returns to scale (CRS). We identify the best energy policies and scheduling strategies for high and low data-center demands and for medium-sized and large data-centers; moreover, this work enables data-center managers to detect inefficiencies and to implement further corrective actions.

APA, Harvard, Vancouver, ISO, and other styles

43

Bao, Hao. "Homomorphic computing of encrypted data outsourcing in cloud data center." Frontiers in Computing and Intelligent Systems 2, no. 1 (November 23, 2022): 1–3. http://dx.doi.org/10.54097/fcis.v2i1.2482.

Full text

Abstract:

In the era of data explosion, data contains massive information, such as health data, time and place, hydrological waves, etc. In order to process and calculate these data, local Wang networking devices will send data to the cloud data center for outsourcing processing due to their limited storage and computing capabilities. However, our data contains a large amount of private data, so we need to protect the privacy of our outsourced data before outsourcing, so as to protect our personal privacy. At the same time, cloud data centers have strong advantages in data storage and computing capabilities, so cloud data centers are increasingly used.

APA, Harvard, Vancouver, ISO, and other styles

44

Wu, Hang Xing, Xiao Long Yang, and Min Zhang. "Congestion Control in Data Center Networks: A Survey and New Perspectives." Applied Mechanics and Materials 462-463 (November 2013): 1028–35. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.1028.

Full text

Abstract:

Nowadays data centers have been becoming increasingly important for various web applications, huge amount of cost is invested to maintain good performance of data center. Whereas some studies indicated that TCP Incast phenomenon was widely observed in most of data centers, which results in congestion in data centers and damages the performance of data center greatly. Thus some congestion control mechanisms for data center have been proposed to solve the problems. These mechanisms are categorized and described in this paper, and the advantages and disadvantages of these mechanisms are analyzed. Subsequently, some new interesting topics which may be worthy of further study in congestion control mechanism on data center are presented.

APA, Harvard, Vancouver, ISO, and other styles

45

Bhardwaj, Rakhi, R. Padmavathy, M. Preetha, R. Suresh, Yogendra Kumar, S. Dilip, and S. Tharmar. "EMS for Sustainable Data Centers." E3S Web of Conferences 591 (2024): 01006. http://dx.doi.org/10.1051/e3sconf/202459101006.

Full text

Abstract:

With the rapid expansion of cloud computing, data centers have become one of the largest consumers of energy globally. To achieve energy efficiency and sustainability, integrating renewable energy sources such as solar and wind into the energy management system (EMS) of data centers has become essential. This paper proposes an intelligent EMS framework designed for sustainable data centers, which dynamically balances energy loads between renewable energy generation, battery storage, and grid supply. The system optimizes energy consumption by leveraging real-time data from renewable sources, minimizing grid dependency, and reducing overall operational costs. A simulation over a 24-hour period demonstrates that the EMS can significantly reduce grid power usage while maintaining data center load demands, thereby supporting greener and more efficient data center operations.

APA, Harvard, Vancouver, ISO, and other styles

46

Leppänen, Tero, Rihard Romka, and Pekka Tervonen. "Utilization of Data Center Waste Heat in Northern Ostrobothnia." Tehnički glasnik 14, no. 3 (September 14, 2020): 312–17. http://dx.doi.org/10.31803/tg-20200706172649.

Full text

Abstract:

Data center industry is growing rapidly due to the expanding internet traffic and the upcoming IoT revolution. Data centers consume vast amounts of energy globally and are also a significant source of greenhouse gas emissions. There is a need to improve energy efficiency and sustainability of data center operations. The energy consumed by data centers is mostly converted to heat and this study focuses on utilizing that waste heat according to the principles of circular economy in the context of Northern Ostrobothnia, Finland. The overall regional business potential of data center waste heat utilization is evaluated and the best options of utilizing waste heat in case data center are sought. The study found that the most viable option would be utilizing waste heat locally to heat facilities or in industrial processes. Another potential option is to connect data center into a district heating system where waste heat can be fed.

APA, Harvard, Vancouver, ISO, and other styles

47

Mukaffi, Akhmad R. I., Rizky S. Arief, Wisnu Hendradjit, and Rahmat Romadhon. "Optimization of Cooling System for Data Center Case Study: PAU ITB Data Center." Procedia Engineering 170 (2017): 552–57. http://dx.doi.org/10.1016/j.proeng.2017.03.088.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Joti, Y., and T. Hatsui. "Current status of SACLA Data Center and outlook of SPring-8 Data Center." Acta Crystallographica Section A Foundations and Advances 79, a2 (August 22, 2023): C238. http://dx.doi.org/10.1107/s2053273323093737.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

McLane, Victoria. "Nuclear data services of the nuclear data centers network available at the national nuclear data center." Fusion Engineering and Design 37, no. 1 (August 1997): 217–21. http://dx.doi.org/10.1016/s0920-3796(97)00045-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Koo, Bon Jun, and Keun Hyung Kim. "In the era of data and service overflow, technology and policy measures for long-distance deployment of DR data centers: Focusing on Jeju Special Self-Governing Province." Jeju National University Tourism, Business, and Economic Research Institute 43, no. 1 (June 30, 2023): 19–45. http://dx.doi.org/10.24907/jtir.2023.43.1.19.

Full text

Abstract:

Recently, in late 2022, Disaster Recovery Data Center is recognized as important due to the disruption issue of Kakao, the Korea' s #1 SNS service provider caused by a fire at their separated operating data center. In this response; the needs of establishing the Disaster Reovery Data Center, this paper is examining the brief current status of domestic and foreign data centers and D.R. data centers and analyzing the related problems. Moreover, according to three requirements (environment, communication and power infrastructure) and two criteria (site level, socio-economic/manpower/government) to find the r ight location for the data center, Jeju's strengths and weaknesses were examined, and considered with the technical and policy measures for Jeju Island to encourage for the attraction of private sector's data centers/DR data centers.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!