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Journal articles on the topic 'Computing'

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1

Sakariya, Harsh Bipinbhai, and Ganesh D. "Taxonomy of Load Balancing Strategies in Distributed Systems." International Journal of Innovative Research in Computer and Communication Engineering 12, no. 03 (2024): 1796–802. http://dx.doi.org/10.15680/ijircce.2024.1203070.

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Large-scale parallel and distributed computing systems are becoming more popular as a result of falling hardware prices and improvements in computer networking technologies. Improved performance and resource sharing are potential benefits of distributed computing systems. We have provided a summary of distributed computing in this essay. The differences between parallel and distributed computing, terms related to distributed computing, task distribution in distributed computing, performance metrics in distributed computing systems, parallel distributed algorithm models, benefits of distributed
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Saravana Moorthy, R. "Quantum Computing as Emerging Computing for Future." International Journal of Scientific Engineering and Research 9, no. 9 (2021): 39–41. https://doi.org/10.70729/se21928121314.

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Henkel, Jorg. "Approximate Computing: Solving Computing's Inefficiency Problem?" IEEE Design & Test 33, no. 1 (2016): 4–5. http://dx.doi.org/10.1109/mdat.2015.2509608.

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Румянцев, К. Е., and Л. К. Хаджиева. "CONFIDENTIAL COMPUTINGIN A PROTECTED COMPUTING ENVIRONMENT." Вестник ГГНТУ. Технические науки, no. 4(30) (December 22, 2022): 31–37. http://dx.doi.org/10.34708/gstou.2022.13.45.004.

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Обеспечение информационной безопасности является немаловажным фактором в настоящее время, особенно это касается вычислительных систем, инфокоммуникационных систем и систем передачи данных. В статье рассмотрена надежность вычислений, изложена концепция вычислений, проведена параллель между физической и логической составляющей защиты информации. Применению больших данных и технологий искусственного интеллекта в наше время уделяется все больше внимания с точки зрения защиты конфиденциальности и адекватного соответствия данных. Методы, которые могут обеспечить безопасность данных и использовать да
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Zhang, Guo Zhi, and Ning Zhou. "The Development of Computing System with Equivalent Beam Element Based on Matlab Software." Advanced Materials Research 479-481 (February 2012): 1161–64. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1161.

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The computing method of series traction mechanism of heavy machinery was studied. The scheme of its computing system with equivalent beam element was proposed. Based on this scheme, combining with secondary development of language of Matlab, the computing system was developed. Through comparing with the reslut of enity element with ANSYS, the computing system was verified. Beacause of the computing system developed, the computating efficiency is improved and the accuracy is ensured.
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Eeckhout, Lieven. "Approximate Computing, Intelligent Computing." IEEE Micro 38, no. 4 (2018): 6–7. http://dx.doi.org/10.1109/mm.2018.043191119.

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Sahare, Shubhangi, and Dr D. V. Rojatkar. "Cloud Computing." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (2017): 786–89. http://dx.doi.org/10.31142/ijtsrd4685.

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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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Zhang, Yan. "Web Data Mining Technology on Cloud Computing." Applied Mechanics and Materials 543-547 (March 2014): 3490–93. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3490.

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With the rapid development of cloud computing technology, the traditional centralized data mining technology becomes inappropriate for the growing huge amounts of data. Cloud computings Web data mining technology comes into use because it is a reliable and efficient method. This article introduces the meaning, characteristics, and the present situation of cloud computing, analyzes the advantage of Web data mining technology on the basis of the use of cloud computing technology, makes investigations and summaries of the present situation, challenges and problems of the current cloud computing W
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Zhao, Wei, and Hong Tao Zhang. "E-Commerce Recommendation System Based on Cloud Computing." Advanced Materials Research 926-930 (May 2014): 2570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2570.

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According to the Present Situations were that there is an urgent demand for large data analysis in Electronic Commerce, by using cloud computings advantage in storing and analyzing mass data, the solution of new project which can analysis data was proposed, based on the cloud computing. Firstly, aiming to the advantages of the cloud computing platform, the novel data-analysis architecture was designed, then the business flow chart by using cloud computing analysis on the architecture. Finally the project is validated by practical application and possesses certain reference meaning in data exch
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Vachhani, Prof Milan Kantilal, and Dr Kishor H. Atkotiya. "Similarities and Contrast between Grid Computing and Cloud Computing." Indian Journal of Applied Research 3, no. 3 (2011): 54–56. http://dx.doi.org/10.15373/2249555x/mar2013/19.

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12

Tedre, Matti, and Nella Moisseinen. "Experiments in Computing: A Survey." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/549398.

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Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters hav
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Kesswani, Nishtha, and Shelendra Kumar Jain. "Schematic Classification Model of Green Computing Approaches." Journal of Cases on Information Technology 17, no. 3 (2015): 14–21. http://dx.doi.org/10.4018/jcit.2015070102.

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Every electronic device has an impact on the environment, and computing devices are not an exception. Green computing is a highly motivated smart computing which tries to save energy and environment by minimizing harmful impacts of computing resource's production and their uses. As the 21st Century is known for Information Technology Revolution, major negative impact of computing resources on environment are day by days increasing contribution to carbon dioxide emission, hazardous substances, e-Waste and high consumption of energy. Nowadays Global Warming is a big issue which is responsible fo
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Bashir, Noman, David Irwin, Prashant Shenoy, and Abel Souza. "Sustainable Computing - Without the Hot Air." ACM SIGEnergy Energy Informatics Review 3, no. 3 (2023): 47–52. http://dx.doi.org/10.1145/3630614.3630623.

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The demand for computing is continuing to grow exponentially. This growth will translate to exponential growth in computing's energy consumption unless improvements in its energy-efficiency can outpace increases in its demand. Yet, after decades of research, further improving energy-efficiency is becoming increasingly challenging, as it is already highly optimized. As a result, at some point, increases in computing demand are likely to outpace increases in its energy-efficiency, potentially by a wide margin. Such exponential growth, if left unchecked, will position computing as a substantial c
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YAMAMURA, MASAYUKI. "DNA Computing. 3. Aqueous Computing." Journal of the Institute of Electrical Engineers of Japan 122, no. 3 (2002): 156–59. http://dx.doi.org/10.1541/ieejjournal.122.156.

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16

Keyes, Robert W. "Quantum Computing and Digital Computing." IEEE Transactions on Electron Devices 57, no. 8 (2010): 2041. http://dx.doi.org/10.1109/ted.2010.2049225.

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17

Yamamoto, Yoshihisa, Kenta Takata, and Shoko Utsunomiya. "Quantum Computing vs. Coherent Computing." New Generation Computing 30, no. 4 (2012): 327–56. http://dx.doi.org/10.1007/s00354-012-0403-5.

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18

Graña, Manuel. "Lattice computing and natural computing." Neurocomputing 72, no. 10-12 (2009): 2065–66. http://dx.doi.org/10.1016/j.neucom.2008.11.021.

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19

Suzuki, Yasuhiro. "Natural Computing and Formal Computing." Proceedings of International Conference on Artificial Life and Robotics 24 (January 10, 2019): 229–32. http://dx.doi.org/10.5954/icarob.2019.os9-3.

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20

Colwell, B. "That's not computing- thisis computing." Computer 36, no. 6 (2003): 6–8. http://dx.doi.org/10.1109/mc.2003.1204312.

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21

Popa, Raluca Ada. "Confidential Computing or Cryptographic Computing?" Queue 22, no. 2 (2024): 108–32. http://dx.doi.org/10.1145/3664295.

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Secure computation via MPC/homomorphic encryption versus hardware enclaves presents tradeoffs involving deployment, security, and performance. Regarding performance, it matters a lot which workload you have in mind. For simple workloads such as simple summations, low-degree polynomials, or simple machine-learning tasks, both approaches can be ready to use in practice, but for rich computations such as complex SQL analytics or training large machine-learning models, only the hardware enclave approach is at this moment practical enough for many real-world deployment scenarios.
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22

Hajibaba, Majid, and Saeid Gorgin. "A Review on Modern Distributed Computing Paradigms: Cloud Computing, Jungle Computing and Fog Computing." Journal of Computing and Information Technology 22, no. 2 (2014): 69. http://dx.doi.org/10.2498/cit.1002381.

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23

Brahmam Ainala, Veera, Yaswanth Arikatla, Varma Seru, Sahil Dasu, and B. Bikram. "Quantum computing’s paradigm shift : Implications and Opportunities for Cloud Computing." Buana Information Technology and Computer Sciences (BIT and CS) 5, no. 2 (2024): 99–108. https://doi.org/10.36805/bit-cs.v5i2.6649.

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The field of computing is about to undergo a revolution thanks to quantum computing, a ground-breaking innovation based on the ideas of quantum physics. The enormous implications and potential that quantum computing has for cloud computing are explored in this publication. We examine the difficulties faced by current cryptography systems as well as prospective improvements in fields like machine learning, simulations, and data security as we delve into the basic alterations in computing paradigms. Additionally, we go over the revolutionary possibilities for cloud computing, such as the creatio
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24

Parveen Shaik, Dr Sajeeda. "Strategic Placement of Servers in Mobile Cloud Computing: A Comprehensive Exploration of Edge Computing, Fog Computing, and Cloudlet Technologies." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 8, no. 4 (2020): 24–28. http://dx.doi.org/10.55083/irjeas.2020.v08i04009.

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Mobile Cloud Computing (MCC) has become integral to the advancement of mobile applications, necessitating strategic server placement for optimized performance. This review article explores three pivotal technologies—Edge Computing, Fog Computing, and Cloudlet Technologies—aimed at addressing the challenges posed by traditional cloud-centric models in MCC environments. The paper provides a thorough analysis of each approach, elucidating their architectural principles, benefits, and applications. Edge Computing’s proximity to end-users, Fog Computing’s intermediary role, and the localized Cloudl
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Wagobera Edgar Kedi, Chibundom Ejimuda, and Mojeed Dayo Ajegbile. "Cloud computing in healthcare: A comprehensive review of data storage and analysis solutions." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 290–98. http://dx.doi.org/10.30574/wjaets.2024.12.2.0291.

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Cloud computing is revolutionizing the healthcare industry by offering scalable, flexible, and cost-effective solutions for data storage, analysis, and access to healthcare services. This comprehensive review explores the role, benefits, challenges, and future directions of cloud computing in healthcare. It highlights how cloud computing enhances data management and interoperability, facilitates telemedicine, ensures cost-effectiveness, and supports research and development. Despite the benefits, challenges such as data security, regulatory compliance, and system reliability must be addressed
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Nwobodo, Ikechukwu. "Cloud Computing: A Detailed Relationship to Grid and Cluster Computing." International Journal of Future Computer and Communication 4, no. 2 (2015): 82–87. http://dx.doi.org/10.7763/ijfcc.2015.v4.361.

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27

Anjaneyulu, P., and Mr S. Srinivasa Reddy. "Cloud Computing Adoption Approach towards Securing Data in Cloud Computing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 390–93. http://dx.doi.org/10.31142/ijtsrd12995.

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28

Manca, Vincenzo, Carlos Martı́n-Vide, and Gheorghe Păun. "New computing paradigms suggested by DNA computing: computing by carving." Biosystems 52, no. 1-3 (1999): 47–54. http://dx.doi.org/10.1016/s0303-2647(99)00031-3.

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29

Yang, Dan, and Ran Li. "EXPLORING THE INFLUENCE OF CLOUD COMPUTING ON SUPPLY CHAIN PERFORMANCE:THE MODERATING ROLE OF MARKET UNCERTAINTY." EUrASEANs: journal on global socio-economic dynamics, no. 2(51) (March 30, 2025): 269–81. https://doi.org/10.35678/2539-5645.2(51).2025.269-281.

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Cloud computing, as a disruptive and innovative technology, significantly alters the existing IT usage model, which will bring a series of supply chain performance changes and create new IT value. Nevertheless, there have been limited studies examining this phenomenon, and existing research lacks clarity on how cloud computing affects supply chain performance. Researchers have not sufficiently revealed the mechanism of cloud computing's impact in supply chain situations. Based on survey data from Chinese businesses that use cloud computing, this paper uses Smart PLS 3.0 software to do a partia
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Das, Sayantan, Madhurima Mondal, and Soumen Swarnakar. "A REVIEW ON CLOUD LOAD BALANCING TECHNIQUES." International Journal of Advanced Research 10, no. 07 (2022): 1102–9. http://dx.doi.org/10.21474/ijar01/15135.

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Cloud computing simply means storing & accessing data and programs over the internet instead of your computers hard drive. The cloud is just a metaphor for the internet. An example of Cloud Computings process could also be Googles Gmail. Cloud computing is highly efficient, productive, safe & secure. Cloud computing consists of two terms One is Cloud which is a useful feature of computer technology to perform appropriate tasks. Computing may include computer hardware and software but must involve some form of a computer system. It is a type of operation of a computer that is fully depe
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Rakib, Abdur. "Grid Computing Introduction." Journal of Advances and Scholarly Researches in Allied Education 15, no. 5 (2018): 140–44. http://dx.doi.org/10.29070/15/57603.

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32

Sandhu, Reema. "SHIFTING PARADIGM FROM MOBILE COMPUTING TO UBIQUITOUS/PERVASIVE COMPUTING." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 11 (2013): 360–63. https://doi.org/10.5281/zenodo.14613505.

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Pervasive computing aims to make our lives simpler through the use of tools that allow us to manage information easily. These "tools" are a new class of intelligent, portable devices that allow the user to plug into powerful networks and gain direct, simple, and secure access to both relevant information and services. Pervasive computing devices are not personal computers as we tend to think of them, but very tiny - even invisible. The aim of this research paper has been to throw light on how the future of human beings will be governed in the light of Ubiquitous/Pervasive Computing. The differ
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Connolly, Randy. "Can Citizenship Education Benefit Computing?" Informatics 9, no. 4 (2022): 93. http://dx.doi.org/10.3390/informatics9040093.

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A recurring motif in recent scholarship in the computing ethics and society studies (CESS) subfield within computing have been the calls for a wider recognition of the social and political nature of computing work. These calls have highlighted the limitations of an ethics-only approach to covering social and political topics such as bias, fairness, equality, and justice within computing curricula. However, given the technically focused background of most computing educators, it is not necessarily clear how political topics should best be addressed in computing courses. This paper proposes that
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Richa, Saxena. "Sky Cloud: A Comparative Survey on Emerging Cloud Computing Techniques with AI and ML." International Journal of Engineering Sciences & Emerging Technologies 11, no. 2 (2023): 290–306. https://doi.org/10.5281/zenodo.11381224.

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<em>Beginning with an overview of cloud computing, this paper explains its fundamental ideas and discuss some of its most important characteristics, including scalability, flexibility, and demand. It describes the advantages and uses of cloud computing's resources, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), comparison of cloud -based AI and ML framework their many responsibilities. The advantages and drawbacks of cloud computing are also covered in this study. Benefits including reduced investment costs, increased production, and
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35

Seidman, Stephen. "Computing." ACM Inroads 5, no. 4 (2014): 6–11. http://dx.doi.org/10.1145/2644826.

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Frailey, Dennis J. "Computing." ACM Inroads 2, no. 4 (2011): 4–8. http://dx.doi.org/10.1145/2038876.2038877.

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37

Ahuja, Sanjay P., and Niharika Deval. "From Cloud Computing to Fog Computing." International Journal of Fog Computing 1, no. 1 (2018): 1–14. http://dx.doi.org/10.4018/ijfc.2018010101.

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This article describes how in recent years, Cloud Computing has emerged as a fundamental computing paradigm that has significantly changed the approach of enterprises as well as end users towards implementation of Internet technology. The key characteristics such as on-demand resource provision, scalability, rapid elasticity, higher flexibility, and significant cost savings have influenced enterprises of all sizes in the wide and successful adoption of Cloud Computing. Despite numerous advantages, Cloud Computing has its fair share of downsides as well. One of those major concerns is latency i
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Singh, Hardeep. "Cloud Computing: An Internet Based Computing." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 3 (2012): 116–21. http://dx.doi.org/10.24297/ijct.v2i3b.2701.

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Present paper focuses on the overview of Cloud Computing. Cloud Computing is an Internet-based computing; where resources, software and information are provided to computers on-demand, like a public utility; is emerging as a platform for sharing resources like infrastructure, software and various applications. This paper does a literature survey on some of the prominent applications of Cloud Computing, and how they meet the requirements of reliability, availability of data, scalability of software and hardware systems and overall customer satisfaction.
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Chen, Yifan, Shaolong Shi, Xin Yao, and Tadashi Nakano. "Touchable Computing: Computing-Inspired Bio-Detection." IEEE Transactions on NanoBioscience 16, no. 8 (2017): 810–21. http://dx.doi.org/10.1109/tnb.2017.2769162.

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40

Norman, Donald A. "Collaborative computing: collaboration first, computing second." Communications of the ACM 34, no. 12 (1991): 88–90. http://dx.doi.org/10.1145/125319.125398.

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Hassan, Mohammad Mehedi, Md Rafiul Hassan, Victor Hugo C. de Albuquerque, and Witold Pedrycz. "Soft Computing for Intelligent Edge Computing." Applied Soft Computing 128 (October 2022): 109628. http://dx.doi.org/10.1016/j.asoc.2022.109628.

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Keyes, Robert W. "Information, computing technology, and quantum computing." Journal of Physics: Condensed Matter 18, no. 21 (2006): S703—S719. http://dx.doi.org/10.1088/0953-8984/18/21/s01.

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Keidar, Idit. "Distributed computing column 36 distributed computing." ACM SIGACT News 40, no. 4 (2010): 64–67. http://dx.doi.org/10.1145/1711475.1711489.

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Bao, Lina, and Shifei Ding. "Cloud computing: a new computing paradigm." International Journal of Collaborative Intelligence 1, no. 3 (2016): 167. http://dx.doi.org/10.1504/ijci.2016.077096.

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Rafael de la Llave. "Computing Some Integrals by Computing Derivatives." American Mathematical Monthly 122, no. 9 (2015): 888. http://dx.doi.org/10.4169/amer.math.monthly.122.9.888.

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Eeckhout, Lieven. "Automotive Computing, Neuromorphic Computing, and Beyond." IEEE Micro 38, no. 1 (2018): 4–5. http://dx.doi.org/10.1109/mm.2018.011441559.

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Sookhak, Mehdi, F. Richard Yu, Ying He, et al. "Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing." IEEE Vehicular Technology Magazine 12, no. 3 (2017): 55–64. http://dx.doi.org/10.1109/mvt.2017.2667499.

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Trivedi Rajesh Deshmukh, Krishna. "Practice of Competent and Eco-Friendly Computing Resources using Green Computing." International Journal of Scientific Engineering and Research 1, no. 3 (2013): 69–72. https://doi.org/10.70729/j201326.

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Sakhi, Abdlehak, Salah-Eddine Mansour, and Abderrahim Sekkaki. "Enhancing security mechanisms for robot-fog computing networks." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 3 (2024): 1660–66. https://doi.org/10.11591/ijeecs.v33.i3.pp1660-1666.

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The evolution from conventional Internet usage to the internet of things (IoT) is reshaping communication norms significantly. Cloud computing, while prevalent, faces challenges like limited capacity, high latency, and network failures, especially when handling connected objects, leading to the emergence of fog computing as a more suitable approach for IoT. However, establishing secure connections among heterogeneous IoT entities is complex due to resource disparities and the unsuitability of existing security protocols for resource-constrained devices. This article explores fog computing's ar
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Chandan, P. H., and S. K. Manju Bargavi. "Green Cloud Computing: Innovating for Sustainable, Low-Impact Data Management." International Journal of Innovative Research in Computer and Communication Engineering 12, no. 05 (2024): 6235–40. http://dx.doi.org/10.15680/ijircce.2024.1205182.

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Cloud computing is the internet-based provision of computer services. The usage of some cloud services by individuals and businesses is expanding quickly. The rising demand for cloud infrastructure has led to a notable rise in the energy consumption of data centers. Reducing energy usage is essential to lowering carbon dioxide emissions, hence it must be addressed. Given that green cloud computing's main objective is to maximize energy efficiency, it is acknowledged as a potential solution to this issue. This paper presents green cloud computing alternatives for energy savings in addition to d
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