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Relevant bibliographies by topics / Prediction of similar web services

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Academic literature on the topic 'Prediction of similar web services'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Prediction of similar web services"

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Jin, Ying, Guangming Cui, and Yiwen Zhang. "Quality Prediction of Web Services Based on a Covering Algorithm." Complexity 2020 (February 18, 2020): 1–17. http://dx.doi.org/10.1155/2020/8572161.

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Service-oriented architecture (SOA) is widely used, which has fueled the rapid growth of Web services and the deployment of tremendous Web services over the last decades. It becomes challenging but crucial to find the proper Web services because of the increasing amount of Web services. However, it proves unfeasible to inspect all the Web services to check their quality values since it will consume a lot of resources. Thus, developing effective and efficient approaches for predicting the quality values of Web services has become an important research issue. In this paper, we propose UIQPCA, a

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Alhosban, Amal, Zaki Malik, Khayyam Hashmi, Brahim Medjahed, and Hassan Al-Ababneh. "A Two Phases Self-healing Framework for Service-oriented Systems." ACM Transactions on the Web 15, no. 2 (2021): 1–25. http://dx.doi.org/10.1145/3450443.

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Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a se

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Murphy, E. J., R. D. Cavanagh, K. F. Drinkwater, et al. "Understanding the structure and functioning of polar pelagic ecosystems to predict the impacts of change." Proceedings of the Royal Society B: Biological Sciences 283, no. 1844 (2016): 20161646. http://dx.doi.org/10.1098/rspb.2016.1646.

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The determinants of the structure, functioning and resilience of pelagic ecosystems across most of the polar regions are not well known. Improved understanding is essential for assessing the value of biodiversity and predicting the effects of change (including in biodiversity) on these ecosystems and the services they maintain. Here we focus on the trophic interactions that underpin ecosystem structure, developing comparative analyses of how polar pelagic food webs vary in relation to the environment. We highlight that there is not a singular, generic Arctic or Antarctic pelagic food web, and,

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Liu, Shu Yuan. "Design and Research on Video-on-Demand System Mathematical Model Based on Operations." Advanced Materials Research 718-720 (July 2013): 2513–17. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2513.

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Operations research theory of stochastic service at fast food restaurants, banks, video-on-demand, and web access should be extensive. This paper is a study of the design of its video-on-demand system model. We design and built a specific mathematical model, and analysis of algorithms and test results. We propose video stream control method based on popularity, and the popularity of the program is divided into two types of popular and unpopular, analysis of the system instantaneous transition probability, and designs the popularity of video streaming bandwidth prediction formula. The results s

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Kalra, Dipak. "Health informatics 3.0." Yearbook of Medical Informatics 20, no. 01 (2011): 8–14. http://dx.doi.org/10.1055/s-0038-1638730.

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SummaryWeb 3.0 promises us smart computer services that will interact with each other and leverage knowledge about us and our immediate context to deliver prioritised and relevant information to support decisions and actions. Healthcare must take advantage of such new knowledge-integrating services, in particular to support better cooperation between professionals of different disciplines working in different locations, and to enable well-informed co-operation between clinicians and patients. To grasp the potential of Web 3.0 we will need well-harmonised semantic resources that can richly conn

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Verhoturov, Alexey A., and Vyacheslav A. Melkiy. "GEOINFORMATION SUPPORT FOR FORECASTING FLOOD ZONES IN THE SOUTH OF SAKHALIN." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 26, no. 2 (2021): 115–26. http://dx.doi.org/10.33764/2411-1759-2021-26-2-115-126.

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Modern systems of hydrometeorological monitoring, for the most part, widely use WEB and GIS technology tools. Territorial fragmentation divisions of the World Meteorological Organization (WMO), Roshydromet, Russian Academy of Sciences and other services and departments interested in obtaining data requires creation of unified information environment for exchange of heterogeneous information. Formation field for geospatial data has become possible with the availability of industrial design platforms with high performance, supporting standard data exchange formats suitable of system for building

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Ravichandran, S., and J. Sathiamoorthy. "An Innovative Method of Estimation Hewing for Invention Report Mining and Estimation Summarization." Asian Journal of Computer Science and Technology 9, no. 2 (2020): 45–50. http://dx.doi.org/10.51983/ajcst-2020.9.2.2169.

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With the assistance of Web 2.0, the bases on client interest, posting on the web surveys has become an undeniably mainstream path for individuals to impart their perspectives to different client’s suppositions and conclusions toward items and administrations. It turns into a typical practice for online business sites to give the offices to individuals to convey and distribute their audits between them. These online audits present an abundance of data on the Services and Products, which will encourage the improvement of their business. Consequently a developing number of late examinations have

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Mohan Reddy, Ch Ram, Evangelin Geetha, Srinivasa, Suresh Kumar, and Rajani Kanth. "Early performance prediction of web services." International Journal on Web Service Computing 2, no. 3 (2011): 31–41. http://dx.doi.org/10.5121/ijwsc.2011.2303.

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Zheng, Zibin, and Michael R. Lyu. "Personalized Reliability Prediction of Web Services." ACM Transactions on Software Engineering and Methodology 22, no. 2 (2013): 1–25. http://dx.doi.org/10.1145/2430545.2430548.

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Albu, Răzvan Daniel, and Florin Popenaiu Vlădicescu. "A prototype for web services reliability prediction." International Journal of Information and Communication Technology 5, no. 1 (2013): 64. http://dx.doi.org/10.1504/ijict.2013.052309.

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Dissertations / Theses on the topic "Prediction of similar web services"

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Konduri, Aparna. "CLustering of Web Services Based on Semantic Similarity." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1199657471.

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Qiao, Xiaohui. "Advancing the Accessibility, Reusability, and Interoperability of Environmental Modeling Workflows Through Web Services." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8889.

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Global flood forecasting can benefit developing countries and ungauged regions that lack observational data, computational infrastructure, and human capacity for streamflow modeling. Many technical challenges exist to provide flood predictions on a global scale. First, existing land surface forecasts use coarse resolution grid cells, which provide limited information when used for flood forecasting at local scales. There is, so far, no modeling system that can provide rapid and accurate global flood predictions with low cost. Second, accurate flood predictions often require integrating interdi

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Ephraim, Sean Stephen. "Design and application of methods for curating genetic variation databases." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/1314.

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Cordova (Curated Online Reference Database Of Variation Annotations) is an out-of-the-box solution for building and maintaining an online database of genetic variations integrated with population study information and pathogenicity prediction results from popular algorithms. Our primary motivation for developing this system is to aid researchers and clinician-scientists in determining the clinical significance of genetic variations. To achieve this goal, Cordova provides an interface to review and manually or computationally curate genetic variation data as well as share it for clinical diagno

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Villem, Lukáš. "Webový server pro predikci sekundární struktury proteinů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236159.

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This master’s thesis deals with protein secondary structure prediction. There is a theoretical introduction followed by study of available tools, proposal and implementation of web application, which combines functionality of several web tools used to predict secondary structure. User is asked to choose prediction methods and insert input sequence as plain text or upload a file. Results collected from selected tools serve to convert data into common format, show the result and create new type of prediction. Finally, the testing is applied and influences of tools are adjusted in order to

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Vajsar, Pavel. "Směrovací protokol pro sítě MANET zohledňující požadavky na kvalitu služeb." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-233650.

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The web and mobile web traffic is growing rapidly due to service accessibility in densely populated areas and massive usage of smart hand held devices (smartphones, pads and Internet dongles). This is a challenge for mobile operators and service providers, because it forces systematically increasing network throughput capacity and in parallel to keep this investment on profitable basis. On the other side, the user satisfaction with mobile broadband service should be considered as well, in order to balance the user expectations and mobile operator investments. Our work provides extensive QoE st

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Lee, Heung Ki. "Adaptive Resource Management Schemes for Web Services." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7608.

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Web cluster systems provide cost-effective solutions when scalable and reliable web services are required. However, as the number of servers in web cluster systems increase, web cluster systems incur long and unpredictable delays to manage servers. This study presents the efficient management schemes for web cluster systems. First of all, we propose an efficient request distribution scheme in web cluster systems. Distributor-based systems forward user requests to a balanced set of waiting servers in complete transparency to the users. The policy employed in forwarding requests from the fronten

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Chang, Chih-Ping, and 張志平. "A Study and Performance Assessment of QoS Prediction for Web Services." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/93093434368001842828.

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碩士<br>國立交通大學<br>網路工程研究所<br>104<br>Current studies for selecting a service are done according to its predicted QoS value(s), and each of existing approaches introduces a distinct prediction method with one or more user selection criterion to improve the accuracy of QoS prediction. However, there are no researches to make a comparison among these approaches. In this thesis, we make a survey on existing approaches. First, the basic methods for QoS prediction can be divided into two models: memory and model-based. Second, the user selection criteria to improve the above basic methods can be classi

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CHANG, CHAO-CHENG, and 張朝政. "A Study on Multivariate QoS Prediction for Web Services based on Genetic Programming." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/xrjg5a.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>106<br>In recent years Google and Amazon are on the rise of cloud service, but cloud service has a network latency issue. QoS can solve the issue and use network resource more efficiently. In this study, the dynamic QoS is important to implement Web Services of SOA (Service-Oriented Architecture), and the more accurate QoS predicts, the more the service gets the result as expected. Previous study shows that one-step-ahead QoS predictors using univariate (response time) base on genetic programming is better than other time series forecasting methods. However, in our p

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LIN, ZHI-FAN, and 林致帆. "A Study on Improving QoS Prediction of Web Services by Applying Deep Learning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/s44qk9.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>106<br>The rapid development of technology and the rapid growth of the Internet have led to an increasing demand for services. Web services are one of the most commonly used projects for development and use. Because of the Internet services have interoperability and convenience, different services can be combined for the needs of service users, without the need for stand-alone services like software engineering to be limited to not being able to combine with other single services. The relevant researchers to predict the services of Internet services Quality of Servic

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ZHANG, YAO-ZONG, and 張耀宗. "A Study on Missing Quality Values Prediction of Web Services by Applying Genetic Algorithm." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ugq8ju.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>106<br>As network services are heavily dependent on the quality of service (QoS) attributes such as cost, reliability, usability, reputation, and response time and Throughput and other attributes, historical data of service quality can be used to predict the value of future service quality. Since the QoS attributes of Web services are highly correlated with the network environment over time, they need to be different over long time intervals , It is very time-consuming and cost-consuming for the user to invoke a large number of Web services. In this paper, Genetic Al

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Book chapters on the topic "Prediction of similar web services"

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Wang, Hanzhang, Marouane Kessentini, and Ali Ouni. "Prediction of Web Services Evolution." In Service-Oriented Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46295-0_18.

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Alothali, Eiman, Kadhim Hayawi, and Hany Alashwal. "Characteristics of Similar-Context Trending Hashtags in Twitter: A Case Study." In Web Services – ICWS 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59618-7_10.

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Zheng, Zibin, and Michael R. Lyu. "Neighborhood-Based QoS Prediction of Web Services." In QoS Management of Web Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34207-3_4.

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Zheng, Zibin, and Michael R. Lyu. "Model-Based QoS Prediction of Web Services." In QoS Management of Web Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34207-3_5.

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Zheng, Zibin, and Michael R. Lyu. "Ranking-Based QoS Prediction of Web Services." In QoS Management of Web Services. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34207-3_6.

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Zhang, Yuchao, Pengmiao Li, Zhili Zhang, et al. "GraphInf: A GCN-based Popularity Prediction System for Short Video Networks." In Web Services – ICWS 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59618-7_5.

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Lin, Jing, Weike Pan, and Zhong Ming. "MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction." In Web Services – ICWS 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94289-6_22.

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Huo, Huan, Shang-ye Chen, Biao Xu, and Liang Liu. "A Trajectory Prediction Method for Location-Based Services." In Web Technologies and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28121-6_12.

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Ram Mohan Reddy, Ch, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, and K. Rajani Kanth. "Prototype Based Performance Prediction of Web Services." In Advances in Digital Image Processing and Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24055-3_35.

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Wang, Jun, Zhoujun Li, Xia Hu, and Biyun Hu. "A Novel Composite Kernel for Finding Similar Questions in CQA Services." In Web-Age Information Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14246-8_59.

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Conference papers on the topic "Prediction of similar web services"

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Li, Jing, Yongwang Zhao, Jiawen Ren, and Dianfu Ma. "Towards adaptive web services QoS prediction." In 2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA). IEEE, 2010. http://dx.doi.org/10.1109/soca.2010.5707146.

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Millard, David, Yvonne Howard, Swapna Chennupati, et al. "Design Patterns for Wrapping Similar Legacy Systems with Common Service Interfaces." In 2006 European Conference on Web Services (ECOWS'06). IEEE, 2006. http://dx.doi.org/10.1109/ecows.2006.14.

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Qiu, Weiwei, Zibin Zheng, Xinyu Wang, Xiaohu Yang, and Michael R. Lyu. "Reputation-Aware QoS Value Prediction of Web Services." In 2013 IEEE International Conference on Services Computing (SCC). IEEE, 2013. http://dx.doi.org/10.1109/scc.2013.43.

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Shao, Lingshuang, Jing Zhang, Yong Wei, Junfeng Zhao, Bing Xie, and Hong Mei. "Personalized QoS Prediction forWeb Services via Collaborative Filtering." In IEEE International Conference on Web Services (ICWS 2007). IEEE, 2007. http://dx.doi.org/10.1109/icws.2007.140.

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Zhao, Yao, Qi Pi, Chengduo Luo, and Danfeng Yan. "CAPred: A Prediction Model for Timely QoS." In 2015 IEEE International Conference on Web Services (ICWS). IEEE, 2015. http://dx.doi.org/10.1109/icws.2015.85.

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Liu, Zhenpeng, Aiguo An, Shuhua Liu, and Junbao Li. "A Prediction QOS Approach Reputation-Based in Web Services." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5305253.

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Li, Meng, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, and Bing Xie. "Internet-Based Evaluation and Prediction of Web Services Trustworthiness." In 2012 IEEE 36th IEEE Annual Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2012. http://dx.doi.org/10.1109/compsacw.2012.105.

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Gmach, Daniel, Jerry Rolia, Ludmila Cherkasova, and Alfons Kemper. "Capacity Management and Demand Prediction for Next Generation Data Centers." In 2007 IEEE International Conference on Web Services. IEEE, 2007. http://dx.doi.org/10.1109/icws.2007.62.

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Vadivelou, G., and E. Ilavarasan. "Performance Evaluation of Semantic Approaches for Automatic Clustering of Similar Web Services." In 2014 World Congress on Computing and Communication Technologies (WCCCT). IEEE, 2014. http://dx.doi.org/10.1109/wccct.2014.41.

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Wan, Yao, Liang Chen, Jian Wu, and Qi Yu. "Time-Aware API Popularity Prediction via Heterogeneous Features." In 2015 IEEE International Conference on Web Services (ICWS). IEEE, 2015. http://dx.doi.org/10.1109/icws.2015.63.

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