Relevant bibliographies by topics / Prediction of similar web services

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

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 novel approach for hybrid User and Item-based Quality Prediction with Covering Algorithm. UIQPCA integrates information of both users and Web services on the basis of users’ ideas on the quality of coinvoked Web services. After the integration, users and Web services which are similar to the target user and the target Web service are selected. Then, considering the result of integration, UIQPCA makes predictions on how a target user will appraise a target Web service. Broad experiments on WS-Dream, a web service dataset which is widely used in real world, are conducted to evaluate the reliability of UIQPCA. According to the results of experiment, UIQPCA is far better than former approaches, including item-based, user-based, hybrid, and cluster-based approaches.
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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 self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.
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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, although there are characteristic pathways of energy flow dominated by a small number of species, alternative routes are important for maintaining energy transfer and resilience. These more complex routes cannot, however, provide the same rate of energy flow to highest trophic-level species. Food-web structure may be similar in different regions, but the individual species that dominate mid-trophic levels vary across polar regions. The characteristics (traits) of these species are also different and these differences influence a range of food-web processes. Low functional redundancy at key trophic levels makes these ecosystems particularly sensitive to change. To develop models for projecting responses of polar ecosystems to future environmental change, we propose a conceptual framework that links the life histories of pelagic species and the structure of polar food webs.
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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 show that this method can effectively save server resources, and improve the level of service of video. This queuing analysis method can also be applied in other similar random service system.
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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 connect virtual teams and link their strategies to real-time and tailored evidence. Facts, decision logic, care pathway steps, alerts, education need to be embedded within components that can interact with multiple EHR systems and services consistently. Using Health Informatics 3.0 a patient’s current situation could be compared with the outcomes of very similar patients (from across millions) to deliver personalised care recommendations. The integration of EHRs with biomedical sciences (‘omics) research results and predictive models such as the Virtual Physiological Human could help speed up the translation of new knowledge into clinical practice. The mission, and challenge, for Health Informatics 3.0 is to enable healthy citizens, patients and professionals to collaborate within a knowledge-empowered social network in which patient specific information and personalised real-time evidence are seamlessly interwoven.
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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 projectoin. The purpose of the study is to develop requirements for geoinformation sup-port of the system necessary for flood forecasting. Methods: GIS mapping, interpretation and analysis of remote sensing data of the Earth. When developing system for hydrological monitoring of rivers in the Southern Sakhalin, we used the experience of operating similar observational network in services of several European countries, as well as the geographically distributed GIS created by Roshydromet. Considering the vast experience of predecessors and requirements for geoinformation support neces-sary for predicting flood zones in the rivers of Southern Sakhalin have been developed. The initial da-ta for creating the correct flood model are satellite images, large-scale topographic maps, digital terrain models, data from long-term hydrometeorological observations, and engineering surveys.
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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 been centred on the Opinion Mining. For example the Opinion Mining alludes to computational method for assessing the sentiments that are mined from different Web Sources.
 A couple of Opinion Mining based techniques have been considered and broke down. From our investigation, it is seen that a couple of feeling mining based directed and unaided techniques had not delivered great outcomes because of alluding less number of sentiments inside a similar URL’S and treating the highlights with comparable significance as various. To beat this issue, Topic Anatomy Model TSCAN was proposed, where the Task is called as Topic Anatomy and which sums up and relates the primary pieces of a point with the goal that the per users could comprehend the substance without any problem.
 By utilizing this model, the more data can be removed and related through their transient closeness, which will give conceivable substance. This model is including imperative part in the Opinion Mining since clients can impart their insights about the items. From our usage, it is seen that this plan gives the best reasonable answer for the client’s advantages and requests. Notwithstanding, it burns-through more opportunity to anticipate the best performing items because of huge informational collections respectively.
 Consequently our exploration work is proposed and actualized a productive strategy for Opinion Mining called an Efficient Parallel Opinion Mining (EPOM) constructed TSCAN Algorithm separately. It is centring more sites and it is removing more data in equal way, so we can get advanced productive outcome with least execution time. From our outcomes, it is noticed that it gives the best reasonable answer for the client’s advantages and requests and it I s improving the presentation of existing method regarding Quality of Information, Prediction and Execution Time.
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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 interdisciplinary models, data sources, and analysis routines into a workflow. Limited accessibility, reusability, and interoperability of models restrict integrated modeling from producing more reliable results. Web services have been demonstrated as an effective way for data and model sharing because of the capability of enabling communication among heterogeneous applications over the internet. However, publishing models or analysis routines as web services is still challenging and, hence, is not commonly done. To address the above challenges, I present a computational system for global streamflow prediction, using existing, well-established open source software tools, that quickly downscales the runoff generated from such coarse grid-based land surface models (LSMs) onto high-resolution vector-based stream networks then routes the results using a vector-based river routing model. A set of experiments are conducted to demonstrate the feasibility and credibility of this approach. I also present a tool to publish complex environmental models as web services by adopting the OpenGMS Wrapper System (OGMS-WS) and Docker. The streamflow prediction system is deployed as a web service using this tool, and the service is used to analyze the historical streamflow tendency in Bangladesh. Next, I present a ready-to-use tool called Tethys WPS Server, which provides a simplified and formalized way to expose web app functionality as standardized Open Geospatial Consortium (OGC) Web Processing Services (WPS) alongside a web app's graphical user interface. Three Tethys web apps are developed to demonstrate how web app functionality(s) can be exposed as WPS using Tethys WPS Server, and to show how these WPS can be coupled to build a complex modeling web app. In sum, this dissertation explores new computational approaches and software tools to advance global streamflow prediction and integrated environmental modeling.
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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 diagnostics and the advancement of research.
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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 increase percentage of prediction. The output of application is a result of prediction also available as plain text or as a file.
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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 study for different conditions in sense of mobile web service, web content, network conditions and end user device. Finally, the obtained results create basis for more dimensional overview of mobile web QoE and allow to recognize quality and saturation thresholds based on network parameters. Further, obtained data provide base for design three prediction models for prediction of MOS (one for notebook, one for mobile device) and acceptability.
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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 frontend distributor to the backend servers plays an important role in the overall system performance. In this study, we present a proactive request distribution (ProRD) to provide an intelligent distribution at the distributor. Second, we propose the heuristic memory management schemes through a web prefetching scheme. For this study, we design a Double Prediction-by-Partial-Match Scheme (DPS) that can be adapted to the modern web frameworks. In addition, we present an Adaptive Rate Controller (ARC) to determine the prefetch rate depending on the memory status dynamically. For evaluating the prefetch gain in a server node, we implement an Apache module. Lastly, we design an adaptive web streaming system in wireless networks. The rapid growth of new wireless and mobile devices accessing the internet has contributed to a whole new level of heterogeneity in web streaming systems. Particularly, in-home networks have also increased in heterogeneity by using various devices such as laptops, cell phone and PDAs. In our study, a set-top box(STB) is the access pointer between the internet and a home network. We design an ActiveSTB which has a capability of buffering and quality adaptation based on the estimation for the available bandwidth in the wireless LAN.
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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 classified into two categories: similarity and clustering. The existing approaches categorized based on basic methods and improvement approaches are then discussed separately and a final comparison is shown then.
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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 proposed approach, we devise a method of using multivariate(e.g. response time, throughput, and geo-location) to improve the accuracy of the forecasting result. We experiment with two real-world QoS datasets to compare with previous study, and our approach can get better QoS predictions via multivariate.
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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 Service(QoS) provides a service selection reference for service users, but the quality of service is basically a dynamic message, which changes over time. It is difficult for each prediction method to have one of them to predict the service quality of all services. According to this concept, we propose a predictive method classifier based on deep learning, taking the time series features of the service quality of service as our prediction consideration, by using the relevant prediction method as the classification method. That is the time series of service quality as long as the service user provides the relevant service. Classifier can be trained to provide the best prediction method for a service of this quality of service of the service users recommend, give service users a more accurate selection service to use.
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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 Algorithm prediction method is used to predict the value of historical time series gaps and match the similarity as fitness Screening, screening out a number of sets of excellent chromosomes and then through genetic algorithm from the excellent chromosome screening out more excellent chromosomes (mixed), will fill in the time series of historical value, according to our experimental results to prove that our mixed The method can improve the accuracy of forecasting the historical vacancy of time series. Keywords: Gene Algorithm, Time Series Histories, Web Service
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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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