Academic literature on the topic 'Enterprise computing'
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Journal articles on the topic "Enterprise computing"
Mateosian, R. "Enterprise computing." IEEE Micro 22, no. 3 (May 2002): 71–72. http://dx.doi.org/10.1109/mm.2002.1013306.
Full textvan Sinderen, Marten, and João Paulo A. Almeida. "Empowering enterprises through next-generation enterprise computing." Enterprise Information Systems 5, no. 1 (December 13, 2010): 1–8. http://dx.doi.org/10.1080/17517575.2010.528802.
Full textStrong, Paul. "Enterprise Grid Computing." Queue 3, no. 6 (July 2005): 50–59. http://dx.doi.org/10.1145/1080862.1080877.
Full textGrimshaw, A. S. "Enterprise-Wide Computing." Science 265, no. 5174 (August 12, 1994): 892–94. http://dx.doi.org/10.1126/science.265.5174.892.
Full textZhang, Hong Xia, and Xiao Dan Zhang. "Research on Cloud Computing-Based Virtual Logistics Enterprise Performance Management." Advanced Materials Research 989-994 (July 2014): 5357–60. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5357.
Full textKrok, Ewa. "Cloud computing in enterprise." Organization & Management Scientific Quartely 2017, no. 37 (2017): 81–96. http://dx.doi.org/10.29119/1899-6116.2017.37.6.
Full textDelligatta, Ann, and Robert E. Umbaugh. "EUC BECOMES ENTERPRISE COMPUTING." Information Systems Management 10, no. 4 (January 1993): 53–55. http://dx.doi.org/10.1080/10580539308906958.
Full textJeffery, Brian. "Enterprise Client/Server Computing." Information Systems Management 13, no. 4 (January 1996): 7–18. http://dx.doi.org/10.1080/10580539608907011.
Full textGrossmann, Georg, and Stefanie Rinderle-Ma. "Guest Editorial: Enterprise Computing." International Journal of Cooperative Information Systems 25, no. 02 (June 2016): 1602001. http://dx.doi.org/10.1142/s0218843016020019.
Full textVetter, R. "Web-based enterprise computing." Computer 32, no. 5 (May 1999): 112–13. http://dx.doi.org/10.1109/2.762810.
Full textDissertations / Theses on the topic "Enterprise computing"
Spruth, Wilhelm G. "Enterprise Computing." Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-126859.
Full textNoureddine, Moustafa. "Enterprise adoption oriented cloud computing performance optimization." Thesis, University of East London, 2014. http://roar.uel.ac.uk/4026/.
Full textFrancis, Leonard S. M. Massachusetts Institute of Technology. "Cloud computing : implications for enterprise software vendors (ESV)." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/47862.
Full textIncludes bibliographical references (leaves 67-69).
'Cloud computing', is a broad concept and in general is a term used for internet-based computing resources that are in an unspecified remote location or locations and that are flexible and fungible. Clouds provide a wide range of computing capability available as a service where users are separated from the underlying technology by a set of APIs. These computing capabilities are made available by abstracting at different levels; at the hardware level, development platform or the applications level. Cloud computing is particularly helpful to application developers and IT operations because it allows them to focus on the service/application provided rather than worrying about scaling, failure, maintenance or reliability of these computing resources. By consolidating and sharing computing resources among multiple tenants thus improving utilization, cloud computing brings cost savings to end users. The higher the abstraction level, greater are the benefits resulting from better resource utilization and thus more cost savings, both for providers and end users. As computing resources become cheaper, network connectivity and bandwidth improve both in terms of availability and pricing and human resources becomes expensive, cloud computing is increasingly seen as viable replacement of enterprise owned local IT infrastructure.
(cont.) With the adoption of cloud computing comes a major shift in the underlying architecture of how we develop, deploy, deliver and run applications compared to existing behavior where we run applications on local computing resources and thus increasing pressure on enterprise software vendors to adopt these new business model for software development and new alternate software delivery models that are supported by and derive the benefits of cloud computing. While legacy enterprise software can simply be installed and run on instances on the cloud using cloud based infrastructure services, maximum benefits are realized by end users when these applications itself are provided as a service in the form of a platform or software. To do so, in most cases, legacy enterprise software would have to go through an architecture overhaul to be able to deliver existing functionalities as a platform or software as a service. Enterprise software vendors would also have to change their current business models where large license revenues, high maintenance cost of antiquated versions and heavily invested customers are the standard and move to pay-per-use cloud computing model. This thesis aims to study the implications of 'Cloud Computing' trends on the development, distribution, business models and the business of enterprise software vendors. This thesis tries to chart and predict the progress of trends in computing towards 'cloud computing', connect those trends to enterprise software usage changes and determine the impact on enterprise software vendors.
(cont.) This will help enterprise software vendors to determine what if any strategic options available will help adopt this technological innovation and conform to future enterprise software requirements based on this trend.
by Leonard Francis.
S.M.
Konda, Niranjan. "Evaluating a Reference Enterprise Application as a Teaching Tool in a Distributed Enterprise Computing Class." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376986294.
Full textMachtinger, Ephraim D. "Designing and Implementing Hard Drive Inventory Policies for Enterprise Computing Solutions." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122571.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 87-88).
Historically, the Storage business unit of the Dell-EMC Infrastructure Solutions Group (ISG) has maintained large inventory buffers to deal with high demand uncertainty and minimize part shortages. High product configurability and complex product structures continue to present challenges to effectively managing component inventory. In addition, many supply and demand planning decisions are contextual rather than process driven, making it difficult to understand precisely how inventory level is influenced by its independent variables. The objective of this project is to develop a set of dynamic inventory policies to enable inventory reduction at ISG while maintaining or improving cycle service levels. Our approach is based on modeling the inventory behavior of the existing supply chain system, and generating inventory policies that more accurately reflect consumption within the system. Three parameterized inventory policies have been built and tested.
We modeled inventory, forecast and actual demand data, used demand classification techniques to selectively adjust policy recommendations for certain drives and validated policy performance by adjusting input parameters. Based on model training for three quarters from August, 2017 to May, 2018 and validation from May, 2018 to August, 2018 our final choice was an order-up-to policy developed by fitting empirical distributions to historical forecast errors and using those distributions to recommend safety stock levels. The policy was applied to 111 CFGs representing 2,758 part numbers. We used August, 2018 to November, 2018 as a test period and applied the policy to observe its performance. Results indicated a 96.40% service level and 36% mean inventory reduction as compared to the baseline, which had a 98.40% service level. The 3.60% loss of service represented 56 shortages.
Of those, we identified 31 that could be eliminated through simple policy refinement, leading to a revised service level of 98.55%. Overall, our results suggest that a mathematical inventory management approach can be used reliably to model the hard drive supply chain, recommend an inventory policy and realize significant inventory reduction opportunities without compromising service level. This thesis concludes by proposing important supply chain system design changes, where several issues at the root of ISG's inventory management challenges reside.
by Ephraim D. Machtinger.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
Di, Palermo Vincent. "Social Influence and Organizational Innovation Characteristics on Enterprise Social Computing Adoption." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2026.
Full textFrenn, Evan. "Towards a Trustworthy Thin Terminal for Securing Enterprise Networks." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/300.
Full textBruhn, Jens. "A realistic approach for the autonomic management of component-based enterprise systems." Bamberg Univ. of Bamberg Press, 2009. http://d-nb.info/997444517/34.
Full textChiza, Albin Boris Lugerero. "Adoption of cloud computing services amongst the micro-enterprise sector in Cape Town." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2862.
Full textMicro-enterprises play a vital role towards the South Africa’s economic growth by contributing towards job creation. Despite the importance of the role of micro-enterprises, micro-enterprises face several challenges such as lack of finance, lack of skilled workers and lack of technological resources. Previous studies indicate that Information Technology has a distinct role in assisting micro-enterprises overcome several challenges. It is further evidenced in the extant literature that cloud computing, provides a low cost entry for enterprises to support several facets of their business operations. In the current era cloud computing requires a constant as well as fast internet connection and the South African government has various interventions to address the infrastructure divide. However, we have a scant understanding of the adoption challenges amongst micro-enterprises to adopt cloud solutions, which to date feature more prominently amongst larger organisations. This research investigated the factors that influence cloud computing adoption in the micro-enterprise sector in Cape Town. This is a city that promotes the contribution of micro-enterprises to their economic activity, and was such an ideal location to investigate cloud computing adoption amongst the micro-enterprise sector. This research provides a rich understanding of the factors that influence micro-enterprises in Cape Town to adopt cloud computing services and proposes guidelines to encourage micro-enterprises in Cape Town to use cloud services to improve their productivity. The researcher uses the UTAUT model as a framework and a qualitative research methodology to investigate the research question. Data for this research study was collected via face to face interviews with semi-structured questions of ten micro-enterprises and an IT expert. The findings showed that the factors influencing the adoption of cloud computing services are performance expectancy, effort expectancy, social influence, facilitating conditions, lack of training, cost efficiency and reduction of working hours.
Kutil, Ivan. "Google jako enterprise řešení firmy." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85156.
Full textBooks on the topic "Enterprise computing"
Enterprise computing. New York: Bantam Books, 1992.
Find full textMahmood, Zaigham. Cloud Computing for Enterprise Architectures. London: Springer-Verlag London Limited, 2011.
Find full textMahmood, Zaigham, and Richard Hill, eds. Cloud Computing for Enterprise Architectures. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2236-4.
Full textJoe, Leben, ed. Client/server databases: Enterprise computing. Upper Saddle River, N.J: Prentice Hall PTR, 1995.
Find full textSeshadri, Govind. Enterprise Java computing: Applications and architecture. Cambridge: Cambridge University Press, 1999.
Find full textEnterprise cloud computing: Technology, architecture, applications. Cambridge: Cambridge University Press, 2010.
Find full textGroom, Frank M., and Stephan S. Jones, eds. Enterprise Cloud Computing for Non-Engineers. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Auerbach Publications, 2018. http://dx.doi.org/10.1201/9781351049221.
Full textSimon, Alan R. Network re-engineering: Foundations of enterprise computing. Boston: AP Professional, 1994.
Find full textSun Microsystems. Java enterprise computing: Enabling breakaway business trategies. [S.l.]: Sun Microsystems, 1997.
Find full textSybase, Inc. Adaptive server enterprise. Emeryville, Calif: Sybase, Inc., 1998.
Find full textBook chapters on the topic "Enterprise computing"
Hill, Richard, Laurie Hirsch, Peter Lake, and Siavash Moshiri. "Enterprise Cloud Computing." In Guide to Cloud Computing, 209–22. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4603-2_9.
Full textShishkov, Boris. "Computing Paradigms." In The Enterprise Engineering Series, 107–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22441-7_5.
Full textKale, Vivek. "Cloud Computing." In Digital Transformation of Enterprise Architecture, 349–71. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-19.
Full textKale, Vivek. "Blockchain Computing." In Digital Transformation of Enterprise Architecture, 437–55. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-23.
Full textKale, Vivek. "Soft Computing." In Digital Transformation of Enterprise Architecture, 457–77. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-24.
Full textKale, Vivek. "Interactive Computing." In Digital Transformation of Enterprise Architecture, 479–97. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-25.
Full textHosseinzadeh, Shohreh, Samuel Laurén, Sampsa Rauti, Sami Hyrynsalmi, Mauro Conti, and Ville Leppänen. "Obfuscation and Diversification for Securing Cloud Computing." In Enterprise Security, 179–202. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54380-2_8.
Full textLemcke, Jens, Gunther Stuhec, and Michael Dietrich. "Computing a Canonical Hierarchical Schema." In Enterprise Interoperability V, 305–15. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2819-9_27.
Full textEllahi, Tariq, Benoit Hudzia, Hui Li, Maik A. Lindner, and Philip Robinson. "The Enterprise Cloud Computing Paradigm." In Cloud Computing, 97–120. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470940105.ch4.
Full textKale, Vivek. "Service-Oriented Computing." In Digital Transformation of Enterprise Architecture, 331–48. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-18.
Full textConference papers on the topic "Enterprise computing"
Murray, Paul. "Enterprise grade cloud computing." In the Third Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1518691.1518692.
Full textFedorova, A. "Research and analysis of business processes in a catering enterprise." In International Conference "Computing for Physics and Technology - CPT2020". ANO «Scientific and Research Center for Information in Physics and Technique», 2020. http://dx.doi.org/10.30987/conferencearticle_5fd755c0127bd9.87408786.
Full textAureli, Laura, Arianna Pierfranceschi, and Holger Wache. "Enterprise Architectures for Cloud Computing." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.149.
Full textLee, Juhnyoung. "The future of enterprise computing." In 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS). IEEE, 2013. http://dx.doi.org/10.1109/icis.2013.6607805.
Full textLiu, Hang, and H. Howie Huang. "Enterprise." In SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2807591.2807594.
Full textLichun Ji and R. Deters. "Coordination and enterprise wide P2P computing." In 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1. IEEE, 2005. http://dx.doi.org/10.1109/scc.2005.42.
Full textDeSimone, A., C. Funka-Lea, B. Samadi, and On-Ching Yue. "Performance engineering of enterprise computing systems." In Fifth IEEE International Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks. IEEE, 1994. http://dx.doi.org/10.1109/camad.1994.765669.
Full textHrgovcic, Vedran, Robert Woitsch, and Dimitris Karagiannis. "Hybrid Service Modeling in Enterprise Computing." In 2011 IEEE 13th Conference on Commerce and Enterprise Computing (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.35.
Full textWajid, Usman, and Cesar A. Marin. "Agent-Based Computing for Enterprise Collaboration." In 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE). IEEE, 2009. http://dx.doi.org/10.1109/wetice.2009.62.
Full textBennett, Bruce, Dillon Bussert, and Rebecca Pham. "Migration to Defense Enterprise Computing Centers." In MILCOM 2007 - IEEE Military Communications Conference. IEEE, 2007. http://dx.doi.org/10.1109/milcom.2007.4455306.
Full textReports on the topic "Enterprise computing"
Goldsby, Michael E., Robert C. Armstrong, Max S. Shneider, Keith Vanderveen, Jaideep Ray, Zach Heath, and Benjamin A. Allan. Parallel computing in enterprise modeling. Office of Scientific and Technical Information (OSTI), August 2008. http://dx.doi.org/10.2172/945906.
Full textDixon, David A., Michel Dupuis, Bruce C. Garrett, Jeffrey B. Neaton, Charity Plata, Matthew A. Tarr, Jean-Francois Tomb, and Joseph T. Golab. Harnessing the Department of Energy?s High-Performance Computing Expertise to Strengthen the U.S. Chemical Enterprise. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1035428.
Full textAbell, Thomas, Arndt Husar, and Lim May-Ann. Cloud Computing as a Key Enabler for Tech Start-Ups across Asia and the Pacific. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210253-2.
Full text