Bibliographies thématiques / IBM Informix Dynamic Server

Littérature scientifique sur le sujet « IBM Informix Dynamic Server »

Auteur : Grafiati

Publié le 26 juillet 2024

Mis à jour le 27 juillet 2024

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Articles de revues sur le sujet "IBM Informix Dynamic Server"

Ran, Qing Yun, et Jie Zhang. « Comparative Study on Currently Popular Network Databases ». Applied Mechanics and Materials 380-384 (août 2013) : 2629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2629.

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With the continuous expansion of the amount of data resources, network databases are becoming increasingly critical to the development of enterprises. This paper is a comparative analysis and study on the basic information, characteristics and performance of the currently popular network databases, mainly including Oracle, DB2 of IBM, Informix Dynamic Server products, Adaptive Server of Sybase and SQL Server of Software.

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Chakraborty, Sudip, et P. S. Aithal. « CRUD Operation on WordPress Database Using C# SQL Client ». International Journal of Case Studies in Business, IT, and Education, 23 novembre 2023, 138–49. http://dx.doi.org/10.47992/ijcsbe.2581.6942.0313.

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Purpose: Sometimes, the researcher stores sensor data inside the cloud to access the data globally. The widespread cloud infrastructures are AWS, Azure, Google, IBM, etc. This type of Cloud server is not free. We need to pay through subscription. Here, we demonstrate how to manage our sensor data using our existing WordPress Website database. The primary example of CRUD operation on the WordPress Database is provided here. The database class is portable. The researcher can easily integrate more functionality. Using the C# language, we created the “WordPressDB.cs” library with the help of an inbuilt SQL client module. On top of that, we developed a graphical user interface for easy operation. We use Flywheel to install WordPress websites locally for safe operation. Once the development is over, we can deploy online without any issues. The completed project code is available to download for quick integration. Design/Methodology/Approach: To keep our research work free, we installed Flywheel Local software suitable for local WordPress Website installation. We installed a WordPress Website using the Flywheel. Once the Website is fully installed, we run the site from the Flywheel local interface. Now, we open our C# projects. We need to provide the Database credentials to connect with the WordPress Database. Once the connection is successful, we can create a table read, update, and delete the record. Findings/Result: We demonstrated how to keep our sensor data using our existing WordPress database. We tested the provided approach, a good and efficient way to control and manage the sensor data. Our communication stack is as tiny as possible, so it is fast. We can keep our real-time data inside this Database with minimum delay. Originality/Value: Several procedures are available to keep the sensor's data. Using this procedure, we can maintain the data at the least cost possible. We are paying for our website to run. We are getting online cloud storage to keep our sensor data without extra cost. The Website runs around the clock, so our research data is available anytime and anywhere. This approach differs slightly from the traditional approach, like purchasing subscription cloud hosting infrastructure. We can also run the IoT activities using this approach. To exchange the dynamic data between two nodes is also effective without buying a static IP. Paper Type: Experimental-based Research.

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Livres sur le sujet "IBM Informix Dynamic Server"

IBM Data Management Solutions Education Services. Troubleshooting IBM INFORMIX Dynamic server. [United States?] : IBM Data Management Solutions Education Services, 2001.

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IBM Data Management Solutions Education Services. IBM INFORMIX Dynamic server administration : Version 3. [United States?] : IBM Data Management Solutions Education Services, 2001.

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IBM Data Management Solutions Education Services. IBM INFORMIX Dynamic server performance tuning : Version 5. [United States?] : IBM Data Management Solutions Education Services, 2001.

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IBM Data Management Solutions Education Services. IBM INFORMIX Dynamic server enterprise replication : Version 3. [United States?] : IBM, 2001.

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Corporation, International Business Machines, dir. Migrating from Microsoft SQL Server to IBM Informix. [S.l.] : Vervante, 2010.

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IBM Data Management Solutions Education Services. IBM INFORMIX Dynamic server for Oracle administrators : Version 3. [United States?] : IBM Data Management Solutions Education Services, 2001.

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Services, IBM Data Management Solutions Education. DB2 UDB for IBM INFORMIX Dynamic server administrators : Version 1. [United States?] : IBM Data Management Solutions Education Services, 2002.

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Whei-Jen, Chen, et International Business Machines Corporation. International Technical Support Organization., dir. Security and compliance solutions for IBM INFOMIX Dynamic server. [S.l.] : IBM, International Techinical Support Organization, 2008.

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IBM Data Management Solutions Education Services. IBM INFORMIX Dynamic server advanced performance tuning workshop : Version 2. [United States?] : IBM, 2002.

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Services, IBM Data Management Solutions Education. Managing and optimizing IBM INFORMIX Dynamic server 7.x databases : Version 2. [United States?] : IBM, 2001.

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Chapitres de livres sur le sujet "IBM Informix Dynamic Server"

Ramasamy, Karthikeyan, et Prasad M. Deshpande. « Set Valued Attributes ». Dans Encyclopedia of Database Technologies and Applications, 632–37. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-560-3.ch104.

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About three decades ago, when Codd (1970) invented the relational database model, it took the database world by storm. The enterprises that adapted it early won a large competitive edge. The past two decades have witnessed tremendous growth of relational database systems, and today the relational model is by far the dominant data model and is the foundation for leading DBMS products, including IBM DB2, Informix, Oracle, Sybase, and Microsoft SQL server. Relational databases have become a multibillion-dollar industry.

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Singh, Prabhmilan. « CLOUD LOAD BALANCING ». Dans Futuristic Trends in Artificial Intelligence Volume 3 Book 8, 108–17. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgai8p2ch3.

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Cloud computing has become integral to modern IT, with major companies like Google, Microsoft, IBM, and Amazon providing various cloud services to users. This paper explores the significance and importances of load balancing in cloud computing, a crucial aspect of maintaining efficient and responsive cloud services. It delves into different load-balancing algorithms and mechanisms, offering a comprehensive understanding of the subject matter through charts, graphs, and extensive research analysis. The study begins by outlining the core concepts of cloud computing, which includes Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It emphasizes the importance of cloud service providers (CSPs). The paper then shifts its focus to load balancing, a critical component of cloud maintenance. It addresses the challenges of overloading within the cloud infrastructure and introduces Load Balancing as a Service (LBaaS) as a solution. Static load balancing algorithms like Round Robin and Weighted Round Robin are discussed in detail, highlighting their approach to distributing loads among servers. Dynamic load balancing algorithms, such as Min-Min and Max-Min, are also explored, each with its distinct advantages and limitations. Furthermore, the paper delves into additional load balancing techniques like Logical Ring Redirection, Load Buffer Range Method, Random Early Detection Method, and Page Caching. Distributed Web Server (DWS) is presented as a reliable solution for managing increasing loads, with its architecture and components outlined. In conclusion, this paper offers a comprehensive insight of load balancing in cloud servers, addressing issues of overloading and under loading servers. It discusses the rationale behind various algorithms and techniques. The study encourages further exploration of load-balancing solutions and highlights the need for algorithm complexity consideration and real-time implementation testing in future research and development efforts.

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Actes de conférences sur le sujet "IBM Informix Dynamic Server"

David, Milnes P., Pritish R. Parida, Mark D. Schultz, Robert E. Simons, Michael Gaynes, Roger Schmidt et Timothy J. Chainer. « Dynamically Controlled Long Duration Operation of a Highly Energy Efficient Chiller-Less Data Center Test Facility ». Dans ASME 2013 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ipack2013-73183.

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Data center energy consumption makes up a significant and rapidly growing portion of the national energy use. A large fraction of this energy consumption, in the range of 25%–40%, is used by the data center cooling infrastructure, particularly by the computer room air handlers (CRAH) and by the chiller plant. A joint US Department of Energy and IBM effort investigated the use of warm water server cooling and water side economization to help improve energy efficiency in a volume server by minimizing the use of CRAH and chiller hours with the goal of reducing the ratio of cooling energy to IT energy from the conventional value of approximately 50% to less than 10%. Previous work focusing on system characterization and one day runs found significant energy savings as compared to a traditional chiller based data center. In the work reported in this paper we discuss the development and implementation of a dynamic control approach followed by details and results from a 60+ day run of the data center test facility starting May 11th, 2012. Results from this long term study found the average cooling energy consumption to be 3.5% of the IT energy, which is consistent with previous short one day runs. The implemented control scheme was also able to reliably control the water temperature to within 0.5°C of the set-point under most conditions and could react and stabilize to a new set-point in 30 minutes. The work presented demonstrates the high energy efficiency of a warm water cooled, water-side economized, chiller-less data center over a long sustained period of time and highlights the benefits of energy aware control to help limit cooling energy.

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Rapports d'organisations sur le sujet "IBM Informix Dynamic Server"

Lamarque, Hugh. Key Considerations : Cross-Border Dynamics between Uganda and Rwanda in the Context of the Outbreak of Ebola, 2022. SSHAP, novembre 2022. http://dx.doi.org/10.19088/sshap.2022.044.

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This brief summarises key considerations concerning cross-border dynamics between Uganda and Rwanda in the context of the 2022 outbreak of Ebola (Sudan Virus Disease, SVD) in Uganda. It is part of a series focusing on at-risk border areas between Uganda and four high priority neighbouring countries: Rwanda; Tanzania; Kenya; and South Sudan. The outbreak began in Mubende, Uganda on 19 September 2022, approximately 300 kilometres from the Uganda-Rwanda border. At the time of writing (November 2022) it has spread to nine Ugandan districts, including two in the Kampala metropolitan area. Kampala is a transport hub, with a population over 3.6 million. While the global risk from SVD remains low according to the World Health Organization, its presence in the Uganda capital has significantly heightened the risk to regional neighbours. Rwanda is categorised as Priority 1, with significant preparedness activities underway. As of November 2022, there had been no case of SVD imported from Uganda into Rwanda, although alerts have been triggered at border posts. This brief provides details about cross-border relations, the political and economic dynamics likely to influence these, and specific areas and actors most at risk. It is based on a rapid review of existing published and grey literature, news reports, previous ethnographic research in Rwanda and Uganda, and informal discussions with colleagues from Save the Children, UNICEF, UNECA, UNDP, IOM, TBI, and the World Bank. It was requested by the Collective Service, written by Hugh Lamarque (University of Edinburgh) and supported by Olivia Tulloch (Anthrologica. It was reviewed by colleagues from Save the Children, Anthrologica, the Institute of Development Studies and the Collective Service. This brief is the responsibility of SSHAP.

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Lees, Shelley, et Mark Marchant. Key Considerations : Cross-Border Dynamics Between Uganda and Tanzania in the Context of the Outbreak of Ebola, 2022. Institute of Development Studies, décembre 2022. http://dx.doi.org/10.19088/sshap.2022.046.

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This brief summarises key considerations concerning cross-border dynamics between Tanzania and Uganda in the context of the outbreak of Ebola (Sudan Virus Disease, SVD) in Uganda. It is part of a series focusing on at-risk border areas between Uganda and four high priority neighbouring countries: Rwanda; Tanzania; Kenya and South Sudan. The current outbreak is of the Sudan strain of Ebola (SVD). SVD is used in this paper to refer to the current outbreak in East Africa, whereas outbreaks of Zaire Ebolavirus disease or general references to Ebola are referred to as EVD. The current outbreak began in Mubende, Uganda, on 19 September 2022, approximately 240km from the Uganda-Tanzania border. It has since spread to nine Ugandan districts, including two in the Kampala metropolitan area. Kampala is a transport hub, with a population over 3.6 million. While the global risk from SVD remains low according to the World Health Organization, its presence in the Ugandan capital has significantly heightened the risk to regional neighbours. At the time of writing, there had been no cases of Ebola imported from Uganda into Tanzania. This brief provides details about cross-border relations, the political and economic dynamics likely to influence these, and specific areas and actors most at risk. It is based on a rapid review of existing published and grey literature, previous ethnographic research in Tanzania, and informal discussions with colleagues from the Tanzania’s Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC), Tanzania National Institute for Medical Research (NIMR), Uganda Red Cross Society, Tanzania Red Cross Society (TRCS), International Organization for Migration (IOM), IFRC, US CDC and CDC Tanzania. The brief was developed by Shelley Lees and Mark Marchant (London School of Hygiene & Tropical Medicine) with support from Olivia Tulloch (Anthrologica) and Hugh Lamarque (University of Edinburgh). Additional review and inputs were provided by The Tanzania Red Cross and UNICEF. The brief is the responsibility of the Social Science in Humanitarian Action Platform (SSHAP).

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