Relevant bibliographies by topics / Web Caching

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Web Caching'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Web Caching"

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Srinath, Harsha, and Shiva Shankar Ramanna. "Web caching." Resonance 7, no. 7 (2002): 54–62. http://dx.doi.org/10.1007/bf02836754.

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Cáceres, Ramón, Fred Douglis, Anja Feldmann, Gideon Glass, and Michael Rabinovich. "Web proxy caching." ACM SIGMETRICS Performance Evaluation Review 26, no. 3 (1998): 11–15. http://dx.doi.org/10.1145/306225.306230.

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Berghel, Hal. "Responsible web caching." Communications of the ACM 45, no. 9 (2002): 15–20. http://dx.doi.org/10.1145/567498.567514.

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Sathiyamoorthi, V. "A Novel Cache Replacement Policy for Web Proxy Caching System Using Web Usage Mining." International Journal of Information Technology and Web Engineering 11, no. 2 (2016): 1–13. http://dx.doi.org/10.4018/ijitwe.2016040101.

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Network congestion remains one of the main barriers to the continuing success of the internet and Web based services. In this background, proxy caching is one of the most successful solutions for civilizing the performance of Web since it reduce network traffic, Web server load and improves user perceived response time. Here, the most popular Web objects that are likely to be revisited in the near future are stored in the proxy server thereby it improves the Web response time and saves network bandwidth. The main component of Web caching is it cache replacement policy. It plays a key role in r
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Sathiyamoorthi and Murali Bhaskaran. "Novel Approaches for Integrating MART1 Clustering Based Pre-Fetching Technique with Web Caching." International Journal of Information Technology and Web Engineering 8, no. 2 (2013): 18–32. http://dx.doi.org/10.4018/jitwe.2013040102.

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Web caching and Web pre-fetching are two important techniques for improving the performance of Web based information retrieval system. These two techniques would complement each other, since Web caching provides temporal locality whereas Web pre-fetching provides spatial locality of Web objects. However, if the web caching and pre-fetching are integrated inefficiently, this might cause increasing the network traffic as well as the Web server load. Conventional policies are most suitable only for memory caching since it involves fixed page size. But when one deals with web caching which involve
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Zulfa, Mulki Indana, Rudy Hartanto, and Adhistya Erna Permanasari. "Caching strategy for Web application – a systematic literature review." International Journal of Web Information Systems 16, no. 5 (2020): 545–69. http://dx.doi.org/10.1108/ijwis-06-2020-0032.

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Purpose Internet users and Web-based applications continue to grow every day. The response time on a Web application really determines the convenience of its users. Caching Web content is one strategy that can be used to speed up response time. This strategy is divided into three main techniques, namely, Web caching, Web prefetching and application-level caching. The purpose of this paper is to put forward a literature review of caching strategy research that can be used in Web-based applications. Design/methodology/approach The methods used in this paper were as follows: determined the review
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Dr., H. B. Patelpaik. "Machine Learning-Based Optimization of Web Caching: A Support Vector Machine Model." International Journal of Advance and Applied Research S6, no. 18 (2025): 282–88. https://doi.org/10.5281/zenodo.15259563.

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<em>In the era of information technology, the Internet serves as a critical medium for accessing information globally. The World Wide Web (WWW) facilitates a diverse range of Internet-based services, including e-commerce, online banking, entertainment, education, and e-governance. However, the exponential growth in web applications has led to a substantial increase in network traffic, causing congestion and elevating server loads. This, in turn, results in higher response times, thereby negatively impacting user experience. Web caching has emerged as an effective solution to mitigate latency i
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Rajendran Baskaran, Kuttuva, and Chellan Kalaiarasan. "Improved Performance by Combining Web Pre-Fetching Using Clustering with Web Caching Based on SVM Learning Method." International Journal of Computers Communications & Control 11, no. 2 (2016): 67. http://dx.doi.org/10.15837/ijccc.2016.2.897.

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Combining Web caching and Web pre-fetching results in improving the bandwidth utilization, reducing the load on the origin server and reducing the delay incurred in accessing information. Web pre-fetching is the process of fetching the Web objects from the origin server which has more likelihood of being used in future. The fetched contents are stored in the cache. Web caching is the process of storing the popular objects ”closer” to the user so that they can be retrieved faster. In the literature many interesting works have been carried out separately for Web caching and Web pre-fetching. In
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Davison, B. D. "A Web caching primer." IEEE Internet Computing 5, no. 4 (2001): 38–45. http://dx.doi.org/10.1109/4236.939449.

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Chauhan, Shobhit. "Caching in Web Applications." International Journal of Computer Trends and Technology 68, no. 8 (2020): 14–20. http://dx.doi.org/10.14445/22312803/ijctt-v68i8p102.

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Dissertations / Theses on the topic "Web Caching"

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Gu, Wenzheng. "Ubiquitous Web caching." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0002406.

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Mahdavi, Mehregan Computer Science &amp Engineering Faculty of Engineering UNSW. "Caching dynamic data for web applications." Awarded by:University of New South Wales. Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/32316.

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Web portals are one of the rapidly growing applications, providing a single interface to access different sources (providers). The results from the providers are typically obtained by each provider querying a database and returning an HTML or XML document. Performance and in particular providing fast response time is one of the critical issues in such applications. Dissatisfaction of users dramatically increases with increasing response time, resulting in abandonment of Web sites, which in turn could result in loss of revenue by the providers and the portal. Caching is one of the key technique
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Liang, Zhengang. "Transparent Web caching with load balancing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59383.pdf.

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Gupta, Priya S. M. Massachusetts Institute of Technology. "Providing caching abstractions for web applications." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62453.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 99-101).<br>Web-based applications are used by millions of users daily, and as a result a key challenge facing web application designers is scaling their applications to handle this load. A crucial component of this challenge is scaling the data storage layer, especially for the newer class of social networking applications that have huge amounts of shared data. Caching is an important scaling techn
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Chiang, Cho-Yu. "On building dynamic web caching hierarchies /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488199501403111.

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Arshinov, Alex. "Building high-performance web-caching servers." Thesis, De Montfort University, 2004. http://hdl.handle.net/2086/13257.

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Logren, Dély Tobias. "Caching HTTP : A comparative study of caching reverse proxies Varnish and Nginx." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9679.

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With the amount of users on the web steadily increasing websites must at times endure heavy loads and risk grinding to a halt beneath the flood of visitors. One solution to this problem is by using HTTP reverse proxy caching, which acts as an intermediate between web application and user. Content from the application is stored and passed on, avoiding the need for the application produce it anew for every request. One popular application designed solely for this task is Varnish; another interesting application for the task is Nginx which is primarily designed as a web server. This thesis compar
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Zou, Qing. "Transparent Web caching with minimum response time." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2002. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ65661.pdf.

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Sherman, Alexander 1975. "Distributed web caching system with consistent hashing." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80121.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 63-64).<br>by Alexander Sherman.<br>Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Acharjee, Utpal. "Personalized and artificial intelligence Web caching and prefetching." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27215.

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Web caching and prefetching are the most popular and widely used solutions to remedy Internet performance problems. Performance is increased if a combination of caching and prefetching systems is used rather than if these techniques are used individually. Web caching reduces the bandwidth consumption and network latency by serving the user's request from its own cache instead of the original Internet source. Prefetching is a technique that preloads and caches the web object that is not currently requested by the user but can be requested (expected) in the near future. It provides low retrieval
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Books on the topic "Web Caching"

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Oliver, Spatscheck, ed. Web caching and replication. Addison-Wesley, 2002.

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Nagaraj, S. V. Web caching and its applications. Kluwer Academic Publishers, 2004.

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Chi, Chi-Hung, Maarten van Steen, and Craig Wills, eds. Web Content Caching and Distribution. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b101692.

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Douglis, Fred, and Brian D. Davison, eds. Web Content Caching and Distribution. Springer Netherlands, 2004. http://dx.doi.org/10.1007/1-4020-2258-1.

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1961-, Bestavros Azer, and Rabinovich Michael, eds. Web caching and content delivery: Proceedings of the sixth International Web Content Caching and Distribution Workshop, Boston University, Boston, Massachusetts, USA, June 20-22, 2001. Elsevier, 2001.

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International Web Content Caching and Distribution Workshop. Web content caching and distribution: Proceedings of the 8th International Workshop. Kluwer Academic Publishers, 2004.

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Frederick, Douglis, and Davison Brian D, eds. Web content caching and distribution: Proceedings of the 8th International Workshop, IBM T.J. Watson Research Center, Hawthorne, New York, USA, September 29-October 1, 2003. Kluwer Academic Publishers, 2004.

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Vasiliev, Yuli. PHP Oracle web development: Data processing, security, caching, XML, web services and AJAX : a practical guide to combining the power, performance, scalability, and reliability of Oracle Database with the ease of use, short development time, and high performance of PHP. Packt Pub., 2007.

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Wessels, Duane. Web Caching. Tandem Library, 2001.

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Web caching. O'Reilly & Associates, 2001.

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Book chapters on the topic "Web Caching"

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Fox, Richard, and Wei Hao. "Web Caching." In Internet Infrastructure. CRC Press, 2017. http://dx.doi.org/10.1201/9781315175577-9.

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Wessler, Michael, Erin Mulder, Rob Harrop, and Jan Machacek. "Configuring Web Caching." In Oracle Application Server 10g. Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-0744-3_19.

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Rojas, Carlos. "Caching Strategies." In Building Progressive Web Applications with Vue.js. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5334-2_4.

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Buchholz, Sven, and Alexander Schill. "Adaptation-Aware Web Caching: Caching in the Future Pervasive Web." In Kommunikation in Verteilten Systemen (KiVS). Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55569-5_5.

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Kalyanasundaram, Bala, John Noga, Kirk Pruhs, and Gerhard Woeginger†. "Caching for Web Searching." In Algorithm Theory - SWAT 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44985-x_14.

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Bent, Leeann, Michael Rabinovich, Geoffrey M. Voelker, and Zhen Xiao. "Towards Informed Web Content Delivery." In Web Content Caching and Distribution. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30471-5_18.

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Yang, Mengdong, and Gang Wu. "Semantic Caching for Semantic Web Applications." In The Semantic Web. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29923-0_13.

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Seltzsam, Stefan, Roland Holzhauser, and Alfons Kemper. "Semantic Caching for Web Services." In Service-Oriented Computing – ICSOC 2007. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596141_25.

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Sosa Sosa, Víctor J., Gabriel González S., Leandro Navarro, and Joaquín Pérez O. "A Resilient Web Caching Architecture." In Computational Science and Its Applications — ICCSA 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44839-x_18.

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Zhao, Weibin, and Henning Schulzrinne. "DotSlash: A Self-Configuring and Scalable Rescue System for Handling Web Hotspots Effectively." In Web Content Caching and Distribution. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30471-5_1.

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Conference papers on the topic "Web Caching"

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Rhea, Sean C., Kevin Liang, and Eric Brewer. "Value-based web caching." In the twelfth international conference. ACM Press, 2003. http://dx.doi.org/10.1145/775152.775239.

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Qian, Feng, Kee Shen Quah, Junxian Huang, et al. "Web caching on smartphones." In the 10th international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2307636.2307649.

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Turner, D. A. "Web page caching in Java Web applications." In International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II. IEEE, 2005. http://dx.doi.org/10.1109/itcc.2005.296.

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Raza, Ali, Yasir Zaki, Thomas Pötsch, Jay Chen, and Lakshmi Subramanian. "Extreme Web Caching for Faster Web Browsing." In SIGCOMM '15: ACM SIGCOMM 2015 Conference. ACM, 2015. http://dx.doi.org/10.1145/2785956.2790032.

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Atassi, Mohamed R., Sherif G. Aly, and Amr El-Kadi. "Cooperative web caching of dynamic web content." In 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2011. http://dx.doi.org/10.1109/aiccsa.2011.6126610.

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Hai Liu and Maobian Chen. "Evaluation of web caching consistency." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579113.

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Shi, Lei, and Yan Zhang. "Optimal Model of Web Caching." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.220.

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Katsaros, Dimitrios, and Yannis Manolopoulos. "Caching in Web memory hierarchies." In the 2004 ACM symposium. ACM Press, 2004. http://dx.doi.org/10.1145/967900.968126.

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Liu, Zhen, Philippe Nain, Nicolas Niclausse, and Don Towsley. "Static caching of Web servers." In Photonics West '98 Electronic Imaging, edited by Kevin Jeffay, Dilip D. Kandlur, and Timothy Roscoe. SPIE, 1997. http://dx.doi.org/10.1117/12.298419.

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Zhang, Kaimin, Lu Wang, Aimin Pan, and Bin Benjamin Zhu. "Smart caching for web browsers." In the 19th international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1772690.1772741.

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Reports on the topic "Web Caching"

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Cooper, I., I. Melve, and G. Tomlinson. Internet Web Replication and Caching Taxonomy. RFC Editor, 2001. http://dx.doi.org/10.17487/rfc3040.

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DeMarle, David, and Andrew Bauer. In situ visualization with temporal caching. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43042.

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In situ visualization is a technique in which plots and other visual analyses are performed in tandem with numerical simulation processes in order to better utilize HPC machine resources. Especially with unattended exploratory engineering simulation analyses, events may occur during the run, which justify supplemental processing. Sometimes though, when the events do occur, the phenomena of interest includes the physics that precipitated the events and this may be the key insight into understanding the phenomena that is being simulated. In situ temporal caching is the temporary storing of produ
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Brandt, Sebastian, and Anni-Yasmin Turhan. An Approach for Optimizing ALE-Approximation of ALC-Concepts. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.121.

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An approximation of an ALC-concept by an ALE-concept can be computed in double exponential time [4]. Consequently, one needs powerful optimization techniques for approximating an entire unfoldable TBox. Addressing this issue we identify a special form of ALC-concepts, which can be divided into parts s.t. each part can be approximated independently. This independent approximation in turn facilitates caching during the computation of approximation.
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Allegheny woodrat and eastern small-footed bat inventory: White Rocks ? Cumberland Gap National Historical Park. National Park Service, 2024. http://dx.doi.org/10.36967/2302513.

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Surveys were conducted for the presence of Allegheny woodrats, eastern small-footed bats, and their habitat within Sample Units surrounding potential climbing routes on the White Rocks cliff of Cumberland Gap National Historical Park. White Rocks is a 200-300ft south facing cliff along the Virginia- Kentucky border that contains the typical habitat requirements of both species: rock ledges, outcrops, or a network of fissures and crevices surrounded by forested habitat. The eastern small-footed bat uses this type of habitat primarily during the summer months for roosting while the Allegheny woo
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