Academic literature on the topic 'Partial virtualization'
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Journal articles on the topic "Partial virtualization"
Rodrigues, Pablo, Mateus Saquetti, Guilherme Bueno, Weverton Cordeiro, and Jose Azambuja. "Virtualization of Programmable Forwarding Planes with P4VBox." Journal of Integrated Circuits and Systems 16, no. 2 (August 15, 2021): 1–8. http://dx.doi.org/10.29292/jics.v16i2.329.
Full textRaczkowski, Tomasz. "Wirtualne sale i globalne sieci. Partycypacja w kulturze filmowej w kontekście pandemii." Prace Etnograficzne 48, no. 1 (2020): 39–55. http://dx.doi.org/10.4467/22999558.pe.20.003.12628.
Full textGui, Anderes, Hasnah Haron, Suryanto, and Sumarwan. "Virtualization Technology Investment Feasibility Study (Case Study at Regional Development Bank in Indonesia)." Advanced Science Letters 21, no. 4 (April 1, 2015): 976–79. http://dx.doi.org/10.1166/asl.2015.5957.
Full textChydzinski, Andrzej. "Analysis of the scheduling mechanism for virtualization of links with partial isolation." Applied Mathematics and Computation 281 (April 2016): 39–54. http://dx.doi.org/10.1016/j.amc.2016.01.047.
Full textChai, Zhilei, Wei Liu, Qin Wu, Qunfang He, and Wenjie Chen. "FPGA Virtualization Mechanism Based on Heterogeneous Zynq Platforms." Journal of Circuits, Systems and Computers 28, no. 12 (November 2019): 1950199. http://dx.doi.org/10.1142/s0218126619501998.
Full textDr B Raghu, Dr V Khanaa, Niraja Jain,. "Probabilistic Model for Resource Demand Prediction in Cloud." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 1766–71. http://dx.doi.org/10.17762/turcomat.v12i6.3908.
Full textSong, Young Eun, Peter Kovacs, Mihoko Niitsuma, and Hideki Hashimoto. "Spatial Memory for Augmented Personal Working Environments." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (March 20, 2012): 349–57. http://dx.doi.org/10.20965/jaciii.2012.p0349.
Full textKang, JiHun, JongBeom Lim, and HeonChang Yu. "Partial migration technique for GPGPU tasks to Prevent GPU Memory Starvation in RPC‐based GPU Virtualization." Software: Practice and Experience 50, no. 6 (February 11, 2020): 948–72. http://dx.doi.org/10.1002/spe.2801.
Full textDarintsev, O. V. "The use of virtualization technologies in control systems of micro-robots and microsystems." Proceedings of the Mavlyutov Institute of Mechanics 9, no. 2 (2012): 47–52. http://dx.doi.org/10.21662/uim2012.2.047.
Full textChen, Qianqiao, Vaibhawa Mishra, Jose Nunez-Yanez, and Georgios Zervas. "Reconfigurable Network Stream Processing on Virtualized FPGA Resources." International Journal of Reconfigurable Computing 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/8785903.
Full textDissertations / Theses on the topic "Partial virtualization"
Pareschi, Federico. "Applying partial virtualization on ELF binaries through dynamic loaders." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5065/.
Full textCardace, Antonio. "UMView, a Userspace Hypervisor Implementation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13184/.
Full textPreston, Ian Christopher. "Massively parallel computing for particle physics." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:4e8aec56-b23b-4ccc-b3ed-5340a525d445.
Full textBila, Nilton. "Energy-oriented Partial Desktop Virtual Machine Migration." Thesis, 2013. http://hdl.handle.net/1807/35778.
Full textUnnikrishnan, Deepak C. "Reconfigurable Technologies for Next Generation Internet and Cluster Computing." 2013. https://scholarworks.umass.edu/open_access_dissertations/823.
Full textHuang, Chun-Hsian, and 黃駿賢. "Model-Based Platform-Specific Co-Design Methodology for Dynamically Partially Reconfigurable Systems with Hardware Virtualization and Preemption." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/55989893944353657248.
Full text國立中正大學
資訊工程研究所
99
The dynamic partial reconfiguration capability of FPGA devices enables the dynamic adaptation of the set of simultaneously executing hardware functions such that the varying requirements in a dynamically partially reconfigurable system (DPRS) can be satisfied. Dynamic adaptation enhances system flexibility, scalability, and performance; however, system design, analysis, and validation become much more difficult. Existing design methodologies focus mainly on functional code generation from UML models of DPRS, with simulation-based validation. There is an estimation gap between models and the final developed system because physical design correctness is verified mostly after the UML models are implemented into concrete system designs. Furthermore, reconfigurable hardware functions are usually managed as conventional hardware devices in most DPRS designs, as a result of which the enhancement in system performance brought about by the partial reconfiguration technology becomes quite limited, thus resulting in poor utilization of reconfigurable hardware designs. As a solution to the above issues, we propose a model-based platform-specific co-design (MPC) methodology that includes a model-based verification and estimation (MOVE) framework and a hierarchical DPRS design architecture with hardware virtualization and preemption. MOVE provides reusable UML models of physical DPRS that can be customized according to user applications. By taking advantage of the inherent features of DPRS and considering real-time system requirements, a semi-automatic model translator converts the user-given UML models of DPRS into timed automata models with transition urgency semantics for model checking. Furthermore, a UML-based hardware/software co-design platform (UCoP) is proposed in MOVE to support the direct interaction between the UML models and the real hardware architecture. Through the two-phase verification process, including exhaustive functional verification and physical-aware performance estimation, the DPRS validation is thus more effective and accurate at the system model level than the state-of-the-art methods. Besides the verification and estimation of a conventional DPRS design, to solve the problem of the limitations in infrastructure support for DPRS, MPC further proposes a hierarchical DPRS design architecture that not only enhances the transparency of system design, but also supports hardware virtualization and preemption. As a result, a configured hardware function can be virtualized to support more than one user space software application, while it can be preempted to release its occupied hardware logic resources for another high-priority hardware function. In this work, we used a dynamically partially reconfigurable network security system (DPRNSS) to show the applicability and practicability of the MPC methodology. The related experiments have demonstrated that the model checker in MOVE can alleviate the impact of the state-space-explosion problem. Compared to the synthesis-based estimation method having inaccuracies ranging from -43.4% to 18.4%, UCoP in MOVE can provide accurate and efficient platform-specific verification and estimation through actual time measurements. To apply real ubiquitous computing applications to the DPRNSS more effectively, we extended DPRNSS into a ubiquitous computing infrastructure, called SAHA. Experiments with a ubiquitous application for information encryption have also demonstrated that, when both the hardware virtualization and preemption techniques are used, SAHA can reduce the turnaround time by at least 22.04% of that required by using the conventional DPRS design.
Book chapters on the topic "Partial virtualization"
Fortuna, Tomasz, and Andrzej Chydzinski. "Scheduler for Virtualization of Links with Partial Performance Isolation." In Computer Networks, 446–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38865-1_45.
Full textMehta, Shikha, and Parmeet Kaur. "Scheduling Data Intensive Scientific Workflows in Cloud Environment Using Nature Inspired Algorithms." In Nature-Inspired Algorithms for Big Data Frameworks, 196–217. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5852-1.ch008.
Full textConference papers on the topic "Partial virtualization"
Xia, Tian, Jean-Christophe Prevotet, and Fabienne Nouvel. "Mini-NOVA: A Lightweight ARM-based Virtualization Microkernel Supporting Dynamic Partial Reconfiguration." In 2015 IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW). IEEE, 2015. http://dx.doi.org/10.1109/ipdpsw.2015.72.
Full textSeon Yeong Han, Byoungheon Shin, and Dongman Lee. "A fine-grain partial MAC virtualization to support cross layer design in wireless ad hoc networks." In 2014 IEEE 39th Conference on Local Computer Networks (LCN). IEEE, 2014. http://dx.doi.org/10.1109/lcn.2014.6925828.
Full textVu, Duy Viet, Oliver Sander, Timo Sandmann, Steffen Baehr, Jan Heidelberger, and Juergen Becker. "Enabling partial reconfiguration for coprocessors in mixed criticality multicore systems using PCI express single-root I/O virtualization." In 2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE, 2014. http://dx.doi.org/10.1109/reconfig.2014.7032516.
Full textLiao, Lingxia, and Victor C. M. Leung. "Genetic algorithms with particle swarm optimization based mutation for distributed controller placement in SDNs." In 2017 IEEE Conference on Network Function Virtualization and Software-Defined Networks (NFV-SDN). IEEE, 2017. http://dx.doi.org/10.1109/nfv-sdn.2017.8169836.
Full textSouza, Rafael, Marcelo Santos, and Stênio Fernandes. "Alocação de Recursos em Funções de Redes Virtualizadas: Desafios e Perspectivas Aplicado em Data enter." In IV Workshop Pré-IETF. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/wpietf.2017.3608.
Full textBazurto, Nychol, Helbert Espitia, and Carlos Martinez. "Analysis of virtualization implementation for the simulation of a multiple-particle-swarms model for expansion of the Coffee Berry Borer." In 2015 Workshop on Engineering Applications - International Congress on Engineering (WEA). IEEE, 2015. http://dx.doi.org/10.1109/wea.2015.7370141.
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