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Статті в журналах з теми "Computing approach"
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 (June 30, 2018): 390–93. http://dx.doi.org/10.31142/ijtsrd12995.
Повний текст джерелаPanhwar, Muhammad Aamir. "Workflow-based Approach in Cloud Computing Environment." Journal of Advanced Research in Dynamical and Control Systems 12, no. 7 (July 20, 2020): 815–22. http://dx.doi.org/10.5373/jardcs/v12i7/20202066.
Повний текст джерелаEmmert-Streib, Frank. "Biostatistics: A Computing Approach." CHANCE 26, no. 4 (November 2013): 59–60. http://dx.doi.org/10.1080/09332480.2013.868760.
Повний текст джерелаWilliam Hughes, P. "Biostatistics: a computing approach." Journal of Applied Statistics 39, no. 10 (October 2012): 2306. http://dx.doi.org/10.1080/02664763.2012.692545.
Повний текст джерелаBaba, Toshio, Yoshi-aki Shimada, Seiichiro Kawamura, Masanori Matoba, Toshikazu Fukushima, Shinichiro Fujii, Toshiki Nagano, Yasuhiro Katsumata, Nobuo Kochi, and Yasunori Kimura. "Proposal of disruptive computing (A computing-domain-oriented approach)." Japanese Journal of Applied Physics 59, no. 5 (April 27, 2020): 050503. http://dx.doi.org/10.35848/1347-4065/ab8577.
Повний текст джерелаNegi, Adhyayan, Gautam Sharma, and Ankit Mittal. "Green Computing: An Efficient Approach." International Journal of Computer Applications 179, no. 32 (April 17, 2018): 1–3. http://dx.doi.org/10.5120/ijca2018916715.
Повний текст джерелаZauner, K. P., and M. Conrad. "Molecular approach to informal computing." Soft Computing 5, no. 1 (February 2001): 39–44. http://dx.doi.org/10.1007/s005000000064.
Повний текст джерелаGIORGADZE, G. "MONODROMY APPROACH TO QUANTUM COMPUTING." International Journal of Modern Physics B 16, no. 30 (November 30, 2002): 4593–605. http://dx.doi.org/10.1142/s0217979202014607.
Повний текст джерелаAnderson, M., S. L. Anderson, and C. Armen. "An Approach to Computing Ethics." IEEE Intelligent Systems 21, no. 4 (July 2006): 56–63. http://dx.doi.org/10.1109/mis.2006.64.
Повний текст джерелаHuang, Ching-Huei, Horn-Yong Jan, Chun-Liang Lin, and Chia-Soon Lee. "System identification: DNA computing approach." ISA Transactions 48, no. 3 (July 2009): 254–63. http://dx.doi.org/10.1016/j.isatra.2009.01.006.
Повний текст джерелаДисертації з теми "Computing approach"
Constantinescu-Fuløp, Zoran. "A Desktop Grid Computing Approach for Scientific Computing and Visualization." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2191.
Повний текст джерелаScientific Computing is the collection of tools, techniques, and theories required to solve on a computer, mathematical models of problems from science and engineering, and its main goal is to gain insight in such problems. Generally, it is difficult to understand or communicate information from complex or large datasets generated by Scientific Computing methods and techniques (computational simulations, complex experiments, observational instruments etc.). Therefore, support of Scientific Visualization is needed, to provide the techniques, algorithms, and software tools needed to extract and display appropriately important information from numerical data.
Usually, complex computational and visualization algorithms require large amounts of computational power. The computing power of a single desktop computer is insufficient for running such complex algorithms, and, traditionally, large parallel supercomputers or dedicated clusters were used for this job. However, very high initial investments and maintenance costs limit the availability of such systems. A more convenient solution, which is becoming more and more popular, is based on the use of nondedicated desktop PCs in a Desktop Grid Computing environment. Harnessing idle CPU cycles, storage space and other resources of networked computers to work together on a particularly computational intensive application does this. Increasing power and communication bandwidth of desktop computers provides for this solution.
In a desktop grid system, the execution of an application is orchestrated by a central scheduler node, which distributes the tasks amongst the worker nodes and awaits workers’ results. An application only finishes when all tasks have been completed. The attractiveness of exploiting desktop grids is further reinforced by the fact that costs are highly distributed: every volunteer supports her resources (hardware, power costs and internet connections) while the benefited entity provides management infrastructures, namely network bandwidth, servers and management services, receiving in exchange a massive and otherwise unaffordable computing power. The usefulness of desktop grid computing is not limited to major high throughput public computing projects. Many institutions, ranging from academics to enterprises, hold vast number of desktop machines and could benefit from exploiting the idle cycles of their local machines.
In the work presented in this thesis, the central idea has been to provide a desktop grid computing framework and to prove its viability by testing it in some Scientific Computing and Visualization experiments. We present here QADPZ, an open source system for desktop grid computing that have been developed to meet the above presented needs. QADPZ enables users from a local network or Internet to share their resources. It is a multi-platform, heterogeneous system, where different computing resources from inside an organization can be used. It can be used also for volunteer computing, where the communication infrastructure is the Internet. QADPZ supports the following native operating systems: Linux, Windows, MacOS and Unix variants. The reason behind natively supporting multiple operating systems, and not only one (Unix or Windows, as other systems do), is that often, in real life, this kind of limitation restricts very much the usability of desktop grid computing.
QADPZ provides a flexible object-oriented software framework that makes it easy for programmers to write various applications, and for researchers to address issues such as adaptive parallelism, fault-tolerance, and scalability. The framework supports also the execution of legacy applications, which for different reasons could not be rewritten, and that makes it suitable for other domains as business. It also supports low-level programming languages as C/C++ or high-level language applications, (e.g. Lisp, Python, and Java), and provides the necessary mechanisms to use such applications in a computation. Consequently, users with various backgrounds can benefit from using QADPZ. The flexible object-oriented structure and the modularity allow facile improvements and further extensions to other programming languages.
We have developed a general-purpose runtime and an API to support new kinds of high performance computing applications, and therefore to benefit from the advantages offered by desktop grid computing. This API directly supports the C/C++ programming language. We have shown how distributed computing extends beyond the master-worker paradigm (typical for such systems) and provided QADPZ with an extended API that supports in addition lightweight tasks and parallel computing (using the message passing paradigm - MPI). This extends the range of applications that can be used to already existing MPI based applications - e.g. parallel numerical solvers used in computational science, or parallel visualization algorithms.
Another restriction of existing systems, especially middleware based, is that each resource provider needs to install a runtime module with administrator privileges. This poses some issues regarding data integrity and accessibility on providers computers. The QADPZ system tries to overcome this by allowing the middleware module to run as a non-privileged user, even with restricted access, to the local system.
QADPZ provides also low-level optimizations, such as on-the-fly compression and encryption for communication. The user can choose from different algorithms, depending on the application, improving both the communication overhead imposed by large data transfers and keeping privacy of the data. The system goes further, by providing an experimental, adaptive compression algorithm, which can transparently choose different algorithms to improve the application. QADPZ support two different protocols (UDP and TCP/IP) in order to improve the efficiency of communication.
Free source code allows its flexible installations and modifications based on the particular needs of research projects and institutions. In addition to being a very powerful tool for computationally intensive research, the open sourceness makes QADPZ a flexible educational platform for numerous smallsize student projects in the areas of operating systems, distributed systems, mobile agents, parallel algorithms, etc. Open source software is a natural choice for modern research as well, because it encourages effectively integration, cooperation and boosting of new ideas.
This thesis proposes also an improved conceptual model (based on the master-worker paradigm), which makes contributions in several directions: pull vs. push work-units, pipelining of work-units, more work-units sent at a time, adaptive number of workers, adaptive time-out interval for work-units, and multithreading. We have also demonstrated that the use of desktop grids should not be limited to only master-worker applications, but it can be used for more fine-grained parallel Scientific Computing and Visualization applications, by performing some specific experiments. This thesis makes supplementary contributions: a hierarchical taxonomy of the main existing desktop grids, and an adaptive compression algorithm for remote visualization. QADPZ has also pioneered autonomic computing approach for desktop grids and presents specific self-management features: self-knowledge, self-configuration, selfoptimization and self-healing. It is worth to mention that to the present the QADPZ has over a thousand users who have download it (since July, 2001 when it has been uploaded to sourceforge.net), and many of them use it for their daily tasks (see the appendix). Many of the results have been published or are in course of publishing as it can be seen from the references.
Abukmail, Ahmed Ahed. "Pervasive computing approach to energy management." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013060.
Повний текст джерелаAl-Shammaa, Mohammed. "Granular computing approach for intelligent classifier design." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13686.
Повний текст джерелаIngram, Colin. "Computing education in FE : a systems approach." Thesis, University of the West of Scotland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419787.
Повний текст джерелаHiziroglu, Abdulkadir. "A soft computing approach to customer segmentation." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503072.
Повний текст джерелаMallett, Jacky 1963. "Kami : an anarchic approach to distributed computing." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/61847.
Повний текст джерелаIncludes bibliographical references (p. 83-84).
This thesis presents a distributed computing system, Kami, which provides support for applications running in an environment of heterogeneous workstations linked together by a high speed network. It enables users to easily create distributed applications by providing a backbone infrastructure of localized daemons which operate in a peer-to-peer networking environment, providing support for software distribution, network communication, and data streaming suitable for use by coarse grained distributed applications. As a collective entity, kami daemons, each individually run on a single machine, form a cooperating anarchy of processes. These support their applications using adaptive algorithms with no form of centralized control. Instead of attempting to provide a controlled environment, this thesis assumes a heterogeneous and uncontrolled environment, and presents a model for distributed computation that is completely decentralized and uses multicast communication between workstations to form an ecology of co-operating processes, which actively attempt to maintain an equilibrium between the demands of their users and the capabilities of the workstations on which they are running.
by Jacky Mallett.
S.M.
Millard, Ian C. "Contextually aware pervasive computing : a semantic approach." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/266002/.
Повний текст джерелаCraven, Stephen Douglas. "Structured Approach to Dynamic Computing Application Development." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27730.
Повний текст джерелаPh. D.
Taylor, Daniel Kyle. "A Model-Based Approach to Reconfigurable Computing." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36202.
Повний текст джерелаMaster of Science
Andersson, Casper. "Reservoir Computing Approach for Network Intrusion Detection." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54983.
Повний текст джерелаКниги з теми "Computing approach"
Velte, Anthony T. Cloud computing: A practical approach. New York: McGraw-Hill, 2010.
Знайти повний текст джерела1945-, Voyce Stanley, ed. Teaching computing: A practical approach. Englewood Cliffs, N.J: Prentice-Hall, 1988.
Знайти повний текст джерелаVelte, Anthony T. Cloud computing: A practical approach. New York: McGraw-Hill, 2010.
Знайти повний текст джерелаVelte, Anthony T. Cloud computing: A practical approach. New York: McGraw-Hill, 2010.
Знайти повний текст джерелаHeathcote, P. M. Computing: An active-learning approach. London: DP Publications, 1991.
Знайти повний текст джерелаHeathcote, P. M. Computing: An active-learning approach. 2nd ed. London: DP Publications, 1996.
Знайти повний текст джерелаVelte, Anthony T. Cloud computing: A practical approach. New York: McGraw-Hill, 2010.
Знайти повний текст джерелаJ, Velte Toby, and Elsenpeter Robert C. 1970-, eds. Cloud computing: A practical approach. New York: McGraw-Hill, 2010.
Знайти повний текст джерелаHidary, Jack D. Quantum Computing: An Applied Approach. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83274-2.
Повний текст джерелаHidary, Jack D. Quantum Computing: An Applied Approach. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23922-0.
Повний текст джерелаЧастини книг з теми "Computing approach"
Raheem, Nasir. "Cloud Computing." In Big DataA Tutorial-Based Approach, 137–43. First edition. | Boca Raton, FL : Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429060939-10.
Повний текст джерелаHidary, Jack D. "Quantum Computing Methods." In Quantum Computing: An Applied Approach, 131–88. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23922-0_9.
Повний текст джерелаHidary, Jack D. "Quantum Computing Methods." In Quantum Computing: An Applied Approach, 143–205. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83274-2_9.
Повний текст джерелаStigler, Maddie. "An Agnostic Approach." In Beginning Serverless Computing, 175–95. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3084-8_6.
Повний текст джерелаHeflin, Jeff, and Zhengxiang Pan. "Semantic Integration: The Hawkeye Approach." In Semantic Computing, 199–227. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470588222.ch11.
Повний текст джерелаGoudarzi, Alireza, Matthew R. Lakin, and Darko Stefanovic. "DNA Reservoir Computing: A Novel Molecular Computing Approach." In Lecture Notes in Computer Science, 76–89. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01928-4_6.
Повний текст джерелаStepney, Susan, Rosalind Barden, and David Cooper. "Schuman & Pitt Approach." In Workshops in Computing, 95–104. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-3552-4_8.
Повний текст джерелаBisht, Shivankit, and Pratyush Shukla. "Edge Computing Approach to DEVOPS." In Lecture Notes in Electrical Engineering, 23–30. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7961-5_3.
Повний текст джерелаHerlihy, Maurice. "Topology Approach in Distributed Computing." In Encyclopedia of Algorithms, 2239–42. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_424.
Повний текст джерелаHerlihy, Maurice. "Topology Approach in Distributed Computing." In Encyclopedia of Algorithms, 956–58. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_424.
Повний текст джерелаТези доповідей конференцій з теми "Computing approach"
Iwata, Yoshimi. "Phylogenetic Approach for Estimating Noh Archetypes." In 2011 Second International Conference on Culture and Computing (Culture Computing). IEEE, 2011. http://dx.doi.org/10.1109/culture-computing.2011.52.
Повний текст джерелаYahiro, Wataru, Nathanael Aubert-Kato, and Masami Hagiya. "A reservoir computing approach for molecular computing." In The 2018 Conference on Artificial Life. Cambridge, MA: MIT Press, 2018. http://dx.doi.org/10.1162/isal_a_00013.
Повний текст джерелаPaunescu, Doru, Oana Pop, Petru Andea, Eugen Raduca, and Cristian Craciun. "Power flow computing probabilistic approach." In 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2011. http://dx.doi.org/10.1109/saci.2011.5873076.
Повний текст джерелаPant, Udit, and Sanjay Kumar Dubey. "Perspective approach in quantum computing." In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence). IEEE, 2016. http://dx.doi.org/10.1109/confluence.2016.7508207.
Повний текст джерелаPittman, Todd B., and James D. Franson. "Optical approach to quantum computing." In Aerospace/Defense Sensing and Controls, edited by Steven P. Hotaling and Andrew R. Pirich. SPIE, 1998. http://dx.doi.org/10.1117/12.312646.
Повний текст джерелаNami, Mohammad Reza, and Mohsen Sharifi. "Autonomic Computing: A New Approach." In First Asia International Conference on Modelling & Simulation (AMS'07). IEEE, 2007. http://dx.doi.org/10.1109/ams.2007.20.
Повний текст джерелаMadhusudan and Aman Kumar Sharma. "Affective computing: A fuzzy approach." In 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2016. http://dx.doi.org/10.1109/pdgc.2016.7913134.
Повний текст джерелаAl Yami, Mohammed, and Dirk Schaefer. "Fog Computing as a Complementary Approach to Cloud Computing." In 2019 International Conference on Computer and Information Sciences (ICCIS). IEEE, 2019. http://dx.doi.org/10.1109/iccisci.2019.8716402.
Повний текст джерелаLi, Jiacong, Hang Lv, Bo Lei, and Yunpeng Xie. "A Computing Power Resource Modeling Approach for Computing Power Network." In 2022 International Conference on Computer Communications and Networks (ICCCN). IEEE, 2022. http://dx.doi.org/10.1109/icccn54977.2022.9868931.
Повний текст джерелаJasuja, Kumari Parul, and Khushdeep Kaur. "Hybrid soft computing approach for energy efficiency in cloud computing." In 2016 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2016. http://dx.doi.org/10.1109/cesys.2016.7889945.
Повний текст джерелаЗвіти організацій з теми "Computing approach"
Franson, James D. Optical Approach to Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada396429.
Повний текст джерелаFranson, J. D. Linear Optics Approach to Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada440858.
Повний текст джерелаFiala, John, and Ronald Lumia. An approach to telerobot computing architecture. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4357.
Повний текст джерелаBirman, Kenneth P. The Process Group Approach to Reliable Distributed Computing. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada238065.
Повний текст джерелаMabuchi, Hideo. Control and Dynamic Approach to Robust Quantum Computing. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada470909.
Повний текст джерелаBirman, Kenneth P. The Process Group Approach to Reliable Distributed Computing. Revision. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256787.
Повний текст джерелаLiu, Huan. Assessing Trustworthiness in Social Media: A Social Computing Approach. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1007384.
Повний текст джерелаDixit, Arati M., Harpreet Singh, and Thomas Meitzler. Soft Computing Approach to Crack Detection and FPGA Implementation. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada570058.
Повний текст джерелаKagal, Lalana, Sasikanth Avancha, Vladimir Korolev, Anupam Joshi, and Tim Finin. An Approach to Dynamic Service Management in Pervasive Computing Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440419.
Повний текст джерелаDutt, Nikil, Rajesh Gupta, Alex Nicolau, and Alex Veidenbaum. COPPER: Compiler-Controlled On-Demand Approach to Power-Efficient Computing. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada418787.
Повний текст джерела