Artículos de revistas sobre el tema "Virtual Machines (VM)"
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Hasan, Waqas. "Virtual Machine Migration in Cloud Computing". Oriental journal of computer science and technology 14, n.º 010203 (28 de febrero de 2022): 46–51. http://dx.doi.org/10.13005/ojcst14.010203.06.
Texto completoHasan, Waqas. "A Survey on Virtual Machine Migration in Cloud Computing". International Journal of Scientific & Engineering Research 13, n.º 03 (25 de marzo de 2022): 648–53. http://dx.doi.org/10.14299/ijser.2022.03.03.
Texto completoGe, Jun Wei, Hai Ming Zheng y Yi Qiu Fang. "A Hybird Virtual Machine Placement Aglrithm for Virtualized Desktop Infrastructure". Advanced Materials Research 760-762 (septiembre de 2013): 1906–10. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1906.
Texto completoChen, Ji-Ming, Shi Chen, Xiang Wang, Lin Lin y Li Wang. "A Virtual Machine Migration Strategy Based on the Relevance of Services against Side-Channel Attacks". Security and Communication Networks 2021 (21 de diciembre de 2021): 1–17. http://dx.doi.org/10.1155/2021/2729949.
Texto completoLiu, Yanbing, Bo Gong, Congcong Xing y Yi Jian. "A Virtual Machine Migration Strategy Based on Time Series Workload Prediction Using Cloud Model". Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/973069.
Texto completoLiu, Zhenpeng, Jiahuan Lu, Nan Su, Bin Zhang y Xiaofei Li. "Location-Constrained Virtual Machine Placement (LCVP) Algorithm". Scientific Programming 2020 (5 de noviembre de 2020): 1–8. http://dx.doi.org/10.1155/2020/8846087.
Texto completoT. Y. J., Naga Malleswari, Senthil Kumar T. y JothiKumar C. "Resumption of virtual machines after adaptive deduplication of virtual machine images in live migration". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 1 (1 de febrero de 2021): 654. http://dx.doi.org/10.11591/ijece.v11i1.pp654-663.
Texto completoSushmitha, G. M. Karthik y M. Sayeekumar. "Power and Performance Based Genetic Ant Colony Algorithm for Virtual Machine Placement". Journal of Computational and Theoretical Nanoscience 17, n.º 1 (1 de enero de 2020): 32–36. http://dx.doi.org/10.1166/jctn.2020.8625.
Texto completoSrinivasa Rao, L. y I. Raviprakash Reddy. "A novel energy efficient virtual machine configuration and migration technique". International Journal of Engineering & Technology 7, n.º 4 (17 de septiembre de 2018): 2391. http://dx.doi.org/10.14419/ijet.v7i4.13236.
Texto completoMuhammad, Shoaib, Muhammad Nabeel Mustafa Syed y Shabhi Ul Hasan Naqvi Syed. "Techniques of migration in live virtual machine and its challenges". i-manager's Journal on Computer Science 9, n.º 4 (2022): 31. http://dx.doi.org/10.26634/jcom.9.4.18540.
Texto completoDhule, Chetan y Urmila Shrawankar. "Performance Analysis for Pareto-Optimal Green Consolidation Based on Virtual Machines Live Migration". International Journal of Grid and High Performance Computing 9, n.º 4 (octubre de 2017): 36–56. http://dx.doi.org/10.4018/ijghpc.2017100103.
Texto completoKumar Bhatia, Arvind y Gursharan Singh. "A Review on Different Types of Live VM Migration Methods with Proposed Pre-Copy Approach". International Journal of Engineering & Technology 7, n.º 4.12 (4 de octubre de 2018): 6. http://dx.doi.org/10.14419/ijet.v7i4.12.20983.
Texto completoSansanwal, Suman y Nitin Jain. "A comprehensive survey on load balancing techniques for virtual machines". System research and information technologies, n.º 4 (26 de diciembre de 2023): 135–47. http://dx.doi.org/10.20535/srit.2308-8893.2023.4.10.
Texto completoKumar, Kamal y Jyoti Thaman. "Opportunistic Two Virtual Machines Placements in Distributed Cloud Environment". International Journal of Grid and High Performance Computing 12, n.º 4 (octubre de 2020): 13–34. http://dx.doi.org/10.4018/ijghpc.2020100102.
Texto completoBarthwal, Varun, M. M. S. Rauthan y Rohan Varma. "A survey on application of machine learning to manage the virtual machines in cloud computing". International Review of Applied Sciences and Engineering 11, n.º 3 (12 de noviembre de 2020): 197–208. http://dx.doi.org/10.1556/1848.2020.00065.
Texto completoDow, Eli M. "Decomposed multi-objective bin-packing for virtual machine consolidation". PeerJ Computer Science 2 (24 de febrero de 2016): e47. http://dx.doi.org/10.7717/peerj-cs.47.
Texto completoMajhi, Santosh Kumar y Sunil Kumar Dhal. "Formal Analysis of Virtual Machine Migration and Identification of Faults". International Journal of Knowledge-Based Organizations 8, n.º 1 (enero de 2018): 16–28. http://dx.doi.org/10.4018/ijkbo.2018010102.
Texto completoHidayat, Taufik, Kalamullah Ramli, Nadia Thereza, Amarudin Daulay, Rushendra Rushendra y Rahutomo Mahardiko. "Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement". Informatics 11, n.º 3 (19 de julio de 2024): 50. http://dx.doi.org/10.3390/informatics11030050.
Texto completoZhao, Guo Yu, Hao Fu Tang, Li Min Xiao y Xiu Qiao Li. "Efficient Inline Deduplication on VM Images in Desktop Virtualization Environment". Applied Mechanics and Materials 307 (febrero de 2013): 488–93. http://dx.doi.org/10.4028/www.scientific.net/amm.307.488.
Texto completoPaneru, Dinesh Raj, Madhu B. R. y Santosh Naik. "A SURVEY FOR ENERGY EFFICIENCY IN CLOUD DATA CENTERS". International Journal of Research -GRANTHAALAYAH 5, n.º 4RACSIT (30 de abril de 2017): 63–68. http://dx.doi.org/10.29121/granthaalayah.v5.i4racsit.2017.3353.
Texto completoYuan, Ling, Zhenjiang Wang, Ping Sun y Yinzhen Wei. "An Efficient Virtual Machine Consolidation Algorithm for Cloud Computing". Entropy 25, n.º 2 (14 de febrero de 2023): 351. http://dx.doi.org/10.3390/e25020351.
Texto completoTeyeb, Hana, Nejib Ben Hadj-Alouane, Samir Tata y Ali Balma. "Optimal Dynamic Placement of Virtual Machines in Geographically Distributed Cloud Data Centers". International Journal of Cooperative Information Systems 26, n.º 03 (14 de agosto de 2017): 1750001. http://dx.doi.org/10.1142/s0218843017500010.
Texto completoCai, Yu. "A Virtual Machine Placement Algorithm with Energy-Efficiency in Cloud Computing". International Journal of Green Computing 8, n.º 2 (julio de 2017): 20–36. http://dx.doi.org/10.4018/ijgc.2017070102.
Texto completoKothari, Sukhesh, Chandan Parsad, Shubham Mahajan y Laith Abualigah. "Energy optimization using virtual machine migration for power aware". Applied and Computational Engineering 17, n.º 1 (23 de octubre de 2023): 169–75. http://dx.doi.org/10.54254/2755-2721/17/20230933.
Texto completoFatima, Aisha, Nadeem Javaid, Tanzeela Sultana, Waqar Hussain, Muhammad Bilal, Shaista Shabbir, Yousra Asim, Mariam Akbar y Manzoor Ilahi. "Virtual Machine Placement via Bin Packing in Cloud Data Centers". Electronics 7, n.º 12 (4 de diciembre de 2018): 389. http://dx.doi.org/10.3390/electronics7120389.
Texto completoGaykar, Reshma S., Velu Khanaa y Shashank D. Joshi. "Mapping of Virtual Machines Using Machine Learning Algorithms for Detection of Faulty Nodes". International Journal of Safety and Security Engineering 12, n.º 6 (31 de diciembre de 2022): 681–90. http://dx.doi.org/10.18280/ijsse.120603.
Texto completoGunasekhar, T., V. Vinaykumar, J. Laharipriya y P. Raghubabu. "An Effective Method for Scheduling Virtual Machines in Cloud". International Journal of Engineering & Technology 7, n.º 2.32 (31 de mayo de 2018): 481. http://dx.doi.org/10.14419/ijet.v7i2.32.16273.
Texto completoJ. A. Nair, Susmita y T. R. Gopalakrishnan Nair. "Performance degradation assessment and VM placement policy in cloud". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 6 (1 de diciembre de 2019): 4961. http://dx.doi.org/10.11591/ijece.v9i6.pp4961-4969.
Texto completoSharma, Oshin y Hemraj Saini. "Performance Evaluation of VM Placement Using Classical Bin Packing and Genetic Algorithm for Cloud Environment". International Journal of Business Data Communications and Networking 13, n.º 1 (enero de 2017): 45–57. http://dx.doi.org/10.4018/ijbdcn.2017010104.
Texto completoKani, A. M. Serma y D. Paulraj. "Dynamic Consolidation of Virtual Machine: A Survey of Challenges for Resource Optimization in Cloud Computing". Recent Advances in Computer Science and Communications 13, n.º 3 (12 de agosto de 2020): 491–501. http://dx.doi.org/10.2174/2213275912666190716124749.
Texto completoKhani, Hadi y Hamed Khanmirza. "Randomized routing of virtual machines in IaaS data centers". PeerJ Computer Science 5 (2 de septiembre de 2019): e211. http://dx.doi.org/10.7717/peerj-cs.211.
Texto completoLiu, Jun, Shuyu Chen, Zhen Zhou y Tianshu Wu. "An Anomaly Detection Algorithm of Cloud Platform Based on Self-Organizing Maps". Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3570305.
Texto completoZhao, Jiaqi, Yousri Mhedheb, Jie Tao, Foued Jrad, Qinghuai Liu y Achim Streit. "Using a vision cognitive algorithm to schedule virtual machines". International Journal of Applied Mathematics and Computer Science 24, n.º 3 (1 de septiembre de 2014): 535–50. http://dx.doi.org/10.2478/amcs-2014-0039.
Texto completoToutov, Andrew, Natalia Toutova, Anatoly Vorozhtsov y Ilya Andreev. "Optimizing the Migration of Virtual Machines in Cloud Data Centers". International Journal of Embedded and Real-Time Communication Systems 13, n.º 1 (enero de 2022): 1–19. http://dx.doi.org/10.4018/ijertcs.289200.
Texto completoDewangan, Bhupesh Kumar, Anurag Jain y Tanupriya Choudhury. "AP: Hybrid Task Scheduling Algorithm for Cloud". Revue d'Intelligence Artificielle 34, n.º 4 (30 de septiembre de 2020): 479–85. http://dx.doi.org/10.18280/ria.340413.
Texto completoHan, Tianxu, Jian Mao, Sipeng Xie, Qiyuan Gao, Qin Wang, Pinge Zhang y Yijia Fang. "VM-Studio: A Universal Crosschain Smart Contract Verification and Execution Scheme". Security and Communication Networks 2023 (18 de abril de 2023): 1–14. http://dx.doi.org/10.1155/2023/2413532.
Texto completoKamoun-Abid, Ferdaous, Hounaida Frikha, Amel Meddeb-Makhoulf y Faouzi Zarai. "Automating cloud virtual machines allocation via machine learning". Indonesian Journal of Electrical Engineering and Computer Science 35, n.º 1 (1 de julio de 2024): 191. http://dx.doi.org/10.11591/ijeecs.v35.i1.pp191-202.
Texto completoAnitha, H. M. y P. Jayarekha. "An Software Defined Network Based Secured Model for Malicious Virtual Machine Detection in Cloud Environment". Journal of Computational and Theoretical Nanoscience 17, n.º 1 (1 de enero de 2020): 526–30. http://dx.doi.org/10.1166/jctn.2020.8481.
Texto completoSharma, Oshin y Hemraj Saini. "Energy and SLA Efficient Virtual Machine Placement in Cloud Environment Using Non-Dominated Sorting Genetic Algorithm". International Journal of Information Security and Privacy 13, n.º 1 (enero de 2019): 1–16. http://dx.doi.org/10.4018/ijisp.2019010101.
Texto completoSatveer y Mahendra Singh Aswal. "VM Consolidation Plan for Improving the Energy Efficiency of Cloud". Cybernetics and Information Technologies 21, n.º 3 (1 de septiembre de 2021): 145–59. http://dx.doi.org/10.2478/cait-2021-0035.
Texto completoSridharan R. y Domnic S. "Placement for Intercommunicating Virtual Machines in Autoscaling Cloud Infrastructure". Journal of Organizational and End User Computing 33, n.º 2 (julio de 2021): 17–35. http://dx.doi.org/10.4018/joeuc.20210301.oa2.
Texto completoMekonnen, Dawit, Alemayehu Megersa, Rakesh Kumar Sharma y Durga Prasad Sharma. "Designing a Component-Based Throttled Load Balancing Algorithm for Cloud Data Centers". Mathematical Problems in Engineering 2022 (3 de octubre de 2022): 1–12. http://dx.doi.org/10.1155/2022/4640443.
Texto completoLin, Hao, Jiaxing Qiu, Hongyi Wang, Zhenhua Li, Liangyi Gong, Di Gao, Yunhao Liu et al. "Take the Blue Pill: Pursuing Mobile App Testing Fidelity, Efficiency, and Accessibility with Virtual Device Farms". GetMobile: Mobile Computing and Communications 28, n.º 1 (9 de mayo de 2024): 5–9. http://dx.doi.org/10.1145/3665112.3665114.
Texto completoCheong, Il Ahn, Seul Gi Lee y Kyung Ho Son. "A Study on the Virtualization Security Management in the Cloud Computing Environment". Applied Mechanics and Materials 336-338 (julio de 2013): 2035–39. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2035.
Texto completoLi, Zhihua, Meini Pan y Lei Yu. "Multi-resource collaborative optimization for adaptive virtual machine placement". PeerJ Computer Science 8 (6 de enero de 2022): e852. http://dx.doi.org/10.7717/peerj-cs.852.
Texto completoM., Mohankumar, Balamurugan K., Singaravel G. y Menaka S.R. "A Dynamic Workflow Scheduling Method based on MCDM Optimization that Manages Priority Tasks for Fault Tolerance". International Academic Journal of Science and Engineering 11, n.º 1 (6 de enero de 2024): 09–14. http://dx.doi.org/10.9756/iajse/v11i1/iajse1102.
Texto completoSelvin Paul Pete, J., G. Mahadevan y S. Selvakumar. "QOS Aware Self Adaptable Virtual Machines Management System for Cloud Computing". International Journal of Engineering & Technology 7, n.º 4.19 (27 de noviembre de 2018): 177–81. http://dx.doi.org/10.14419/ijet.v7i4.19.22043.
Texto completoNkenyereye, Lionel, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Reddy y JaeSeung Song. "Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration". Sensors 20, n.º 4 (17 de febrero de 2020): 1092. http://dx.doi.org/10.3390/s20041092.
Texto completoBuchbinder, Niv, Yaron Fairstein, Konstantina Mellou, Ishai Menache y Joseph (Seffi) Naor. "Online Virtual Machine Allocation with Lifetime and Load Predictions". ACM SIGMETRICS Performance Evaluation Review 49, n.º 1 (22 de junio de 2022): 9–10. http://dx.doi.org/10.1145/3543516.3456278.
Texto completoKourai, Kenichi, Takeshi Azumi y Shigeru Chiba. "Efficient and Fine-Grained VMM-Level Packet Filtering for Self-Protection". International Journal of Adaptive, Resilient and Autonomic Systems 5, n.º 2 (abril de 2014): 83–100. http://dx.doi.org/10.4018/ijaras.2014040105.
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