Academic literature on the topic 'Cloud-Based Testing'

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Journal articles on the topic "Cloud-Based Testing"

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Mohsenzadeh, A. "Software Trustworthy Testing Based On Cloud Testing." Journal of Mathematics and Computer Science 14, no. 04 (2015): 284–94. http://dx.doi.org/10.22436/jmcs.014.04.03.

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Shrivastva, Akash, Shubham Gupta, and Rinki Tiwari. "Cloud based Testing Techniques (CTT)." International Journal of Computer Applications 104, no. 5 (2014): 24–29. http://dx.doi.org/10.5120/18200-9122.

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Drage, Peter. "Cloud-Based Testing in der Elektromobilität." MTZextra 28, S1 (2023): 50. http://dx.doi.org/10.1007/s41490-023-0925-4.

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Lněnička, Martin, and Jan Čapek. "Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing." Acta Informatica Pragensia 7, no. 1 (2018): 40–57. http://dx.doi.org/10.18267/j.aip.113.

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Neha, Kulkarni. "Leveraging Cloud-Based Testing for Health Tech Mobile Apps." Journal of Scientific and Engineering Research 7, no. 2 (2020): 334–41. https://doi.org/10.5281/zenodo.13601799.

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The provision of health care services has in the recent past shifted its focus towards the use of mobile applications due to rapid development in health technology. These applications have to address functionalities, security as well as usability so that they are tested in the harshest methods possible. Based on the findings, this paper discusses the advantages and difficulties of adopting cloud testing methodology for health tech mobile applications. Through the use of cloud infrastructure, the developers and testers are in a position to conduct rigorous testing that is functional, performance, security and compliance testing that is at reduced cost and with a lot of scalability. The paper looks at several cloud testing solutions and tools and their applicability in emulating real life situations and in strengthening the integrity of health tech mobile apps. This study, which supports the research question and aims presented above, illustrates using case studies and empirical research that cloud-based testing can increase the productivity and effectiveness of the development cycle, thereby improving patients’ conditions and operational performance in the healthcare sector. Therefore, the authors encourage the stakeholders in health technology mobile apps to embrace cloud-testing solutions to tackle the emerging problems in building better health technology.
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Tao, Chuanqi, and Jerry Gao. "Cloud-Based Mobile Testing as a Service." International Journal of Software Engineering and Knowledge Engineering 26, no. 01 (2016): 147–52. http://dx.doi.org/10.1142/s0218194016500078.

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With the rapid advance of mobile computing, cloud computing and wireless network, there is a significant increase of mobile subscriptions. This brings new business requirements and demands in mobile testing service, and causes new issues and challenges. In this paper, informative discussions about cloud-based mobile testing-as-a-service (mobile TaaS) are offered, including the essential concepts, focuses, test process, and the expected testing infrastructures. Moreover, the paper presents a comparison among cloud-based mobile TaaS approaches and several best practices in industry are discussed. Futhermore, the primary issues, challenges, and needs are analyzed.
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Wangyal, Rinzen, and Dr Murugan R. "Cloud Based COVID-19 Testing Management System." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2347–48. http://dx.doi.org/10.22214/ijraset.2022.41125.

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Abstract: Nowadays, COVID19 Testing Management System is one of the most essential tools that are mostly used in Testing Lab; it is mostly used to manage COVID19 medical lab related activities. In this project we tried to develop a computerized and web-based Cloud COVID19 Testing management system. Our main intention is to allow this application to be used in most retailing COVID19 lab, where a small point of customization will be required to each COVID19 lab in the implementation period. This system is designed to overcome all challenges related to the management of diagnostic that were used to be handled locally and manually. The system is an online COVID19 lab manager application that brings up various COVID19 test working online. Using this system, it will help us to records all transaction made at the daily tests; recognize all customers, employees, etc. It will manage all activities around the COVID19 lab that increases productivity and maximize profit, it will also be minimizing the risk of getting loss because all transactions are recorded to the system.
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Priyanka, Inderveer Chana, and Ajay Rana. "Empirical evaluation of cloud-based testing techniques." ACM SIGSOFT Software Engineering Notes 37, no. 3 (2012): 1–9. http://dx.doi.org/10.1145/2180921.2180938.

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Kılınç, Nergiz, Leyla Sezer, and lok Mishra. "Cloud-Based Test Tools: A Brief Comparative View." Cybernetics and Information Technologies 18, no. 4 (2018): 3–14. http://dx.doi.org/10.2478/cait-2018-0044.

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Abstract The concept of virtualization has brought life to the new methods of software testing. With the help of cloud technology, testing has become much more popular because of the opportunities it provides. Cloud technologies provides everything as a service, hence the software testing is also provided as a service on cloud with the privileges of lower cost of testing, and relatively less effort. There are various cloud-based test tools focusing on different aspects of software testing such as load tests, regression tests, stress tests, performance tests, scalability tests, security tests, functional tests, browser performance tests, and latency tests. This paper investigates the cloud-based testing tools focusing on different aspects of software testing.
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Santhosh S, Et al. "A Structured Cloud-Based Software Testing Model with a Case Study Implementation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1601–13. http://dx.doi.org/10.17762/ijritcc.v11i10.8712.

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Cloud-based testing methodologies were gaining significant popularity and adoption in the software testing industry. Cloud-based testing offers several advantages, such as scalability, flexibility, cost-effectiveness, and the ability to access a wide range of testing tools and environments without the need for extensive infrastructure setup. Cloud testing methods are having challenges with respect to testing priority, practical use cases, performance, lengthy test time, integrating and streamlining, data security, etc. since they are addressing specific purposes. To address these challenges, there is a need for a structured testing model with respect to the cloud environment. This article proposes a new structured cloud-based testing model for enhancing the testing service in the cloud environment. The proposed model addresses the order of testing and the priority, data security, and performance by using Smoke and Sanity testing methods.
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Dissertations / Theses on the topic "Cloud-Based Testing"

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Albonico, Michel. "Controlling Cloud-Based Systems for Elasticity Testing." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0027/document.

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Les systèmes déployés dans être testés pendant l’élasticité, ce qui entraîne plusieurs problématiques. D’abord, l’exécution d’un test pendant l’élasticité peut exiger de conduire le CBS dans une succession de comportements élastiques spécifiques, càd., une séquence d’ajout/retrait de ressources, qui nécessite des variations précises de la charge des requêtes envoyées au cloud. Seconde, certaines adaptations du CBS ne sont réalisées qu’à un moment précis, par exemple après un ajout de ressources et, par conséquent, leurs tests doivent être synchronisés avec des états spécifiques du CBS. Troisième, les testeurs doivent rejouer les tests pendant l’élasticité de manière déterministe afin de déboguer et corriger le CBS. Quatrième, la création des tests pendant l’élasticité est complexe et laborieuse dû au large nombre de paramètres, et à la particularité du cloud computing. Enfin, seulement quelques combinaisons de paramètres peuvent causer des problèmes au CBS, que les cas de test créés au hasard peuvent manquer, alors qu’un jeu de tests couvrant toutes les combinaisons possibles serait trop grand et impossible à exécuter. Dans cette thèse, nous abordons toutes ces problématiques en proposant plusieurs approches :1) une approche qui conduit les CBSs dans une suite de comportements élastiques prédéfinis, 2) une approche qui synchronise l’exécution des tests selon les états du CBS, 3) une approche qui permette la reproduction des tests pendant l’élasticité, 4) un langage spécifique à ce domaine (DSL, selon l’acronyme anglais) qui résume la mise en œuvre des tests pendant l’élasticité, 5) une approche qui génère des petits ensembles de tests pendant l’élasticité tout en révélant des problèmes liés à l’élasticité<br>Systems deployed on elastic infrastructures deal with resource variations by adapting themselves, which may cause errors, or even degrade their performance. Therefore, we must test the Cloud-Based Systems(CBSs) throughout elasticity, which faces problematics. First, executing elasticity tests may require the lead of CBS throughout a specific elastic behavior, i. e.,sequence of resource changes, which depends on an accurate workload generation. Second, CBS adaptations occur at a precise moment, such as after a resource scale out, which requires to test them during a specific CBS states. Third, testers must re-execute elasticity tests in a deterministic manner to debug and fix the CBS. Fourth, implementing elasticity tests is complex and laborious given the wide possibility of parameters, and the peculiarity of cloud computing. Finally, specific combinations of parameters may cause the system issues, where random tests may miss such combinations, while a test set that covers all thecombinations may be large and impractical to execute. In this thesis, we tackle all these five problematics by proposing several approaches: 1) an approach to drive the CBS throughout preset elastic behaviors, 2) an approach to synchronize tests according to the CBS states, 3) an approach to enable reproducing elasticity testing, 4) a Domain Specific Language (DSL)-basedapproach to abstract the elasticity testing implementation, and 5) an approach to generate small sets of tests that reveal relevant elasticity-related issues
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Pennala, J. (Joni). "Cloud-based testing of 4G base station software." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201706022463.

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Executing test automation for large-scale software-intensive embedded systems requires a lot of hardware because tests must be executed for different hardware configurations. When there is not enough hardware for all kind of configurations, other solutions are developed to fill high test coverage with less hardware. Placing simulated configurations to the cloud makes the hardware usage more effective. The case company has developed a cloud-based testing service for embedded systems which are in this case 4G base stations. This study investigated how well the service fulfils the target team’s needs for testing. Testers have a different kind of requirements for cloud-based testing. Requirements were split into four categories from the qualitative data which was collected by interviewing testers of the target team. Requirement categories are test environments, test automation development, test execution and partly-simulated system under tests, more commonly known as SUTs. Four tests were implemented to the cloud with Robot Framework which is a test automation tool for developing automated tests. An empirical data showed that executing cloud-based tests is not always so fast due to long waiting times of getting a test environment from the cloud. However, when test environments were received they have initialised automatically with default settings and required testing tools. That reduces testers’ workload because locally built test environments require a lot of manual work like maintaining test environments. Beside other research questions, this study investigated fault detection capability of partly-simulated SUTs. 34 Cloud-based tests with partly-simulated SUTs were executed. 26 Tests passed and 8 tests failed. The simulator’s software caused only one failure and tested software caused other seven failures. From these statistics, we can at least say that the partly-simulated SUT can find some faults. The study also investigated a specific fault which was not found in the simulator even though it was found in the real SUT, which was a clear disadvantage.
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Simons, A. J. H., and Raluca Lefticaru. "A verified and optimized Stream X-Machine testing method, with application to cloud service certification." Wiley, 2019. http://hdl.handle.net/10454/17608.

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Yes<br>The Stream X-Machine (SXM) testing method provides strong and repeatable guarantees of functional correctness, up to a specification. These qualities make the method attractive for software certification, especially in the domain of brokered cloud services, where arbitrage seeks to substitute functionally equivalent services from alternative providers. However, practical obstacles include: the difficulty in providing a correct specification, the translation of abstract paths into feasible concrete tests, and the large size of generated test suites. We describe a novel SXM verification and testing method, which automatically checks specifications for completeness and determinism, prior to generating complete test suites with full grounding information. Three optimisation steps achieve up to a ten-fold reduction in the size of the test suite, removing infeasible and redundant tests. The method is backed by a set of tools to validate and verify the SXM specification, generate technology-agnostic test suites and ground these in SOAP, REST or rich-client service implementations. The method was initially validated using seven specifications, three cloud platforms and five grounding strategies.<br>European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 328392, the Broker@Cloud project [11].
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Kamalanathsharma, Raj Kishore. "Eco-Driving in the Vicinity of Roadway Intersections - Algorithmic Development, Modeling and Testing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/56987.

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Vehicle stops and speed variations account for a large percentage of vehicle fuel losses especially at signalized intersections. Recently, researchers have attempted to develop tools that reduce these losses by capitalizing on traffic signal information received via vehicle connectivity with traffic signal controllers. Existing state-of-the-art approaches, however, only consider surrogate measures (e.g. number of vehicle stops, time spent accelerating and decelerating, and/or acceleration or deceleration levels) in the objective function and fail to explicitly optimize vehicle fuel consumption levels. Furthermore, the majority of these models do not capture vehicle acceleration and deceleration limitations in addition to vehicle-to-vehicle interactions as constraints within the mathematical program. The connectivity between vehicles and infrastructure, as achieved through Connected Vehicles technology, can provide a vehicle with information that was not possible before. For example, information on traffic signal changes, traffic slow-downs and even headway and speed of lead vehicles can be shared. The research proposed in this dissertation uses this information and advanced computational models to develop fuel-efficient vehicle trajectories, which can either be used as guidance for drivers or can be attached to an electronic throttle controlled cruise control system. This fuel-efficient cruise control system is known as an Eco-Cooperative Adaptive Cruise Control (ECACC) system. In addition to the ECACC presented here, the research also expands on some of the key eco-driving concepts such as fuel-optimizing acceleration models, which could be used in conjunction with conventional vehicles and even autonomous vehicles, or assistive systems that are being implemented in vehicles. The dissertation first presents the results from an on-line survey soliciting driver input on public perceptions of in-vehicle assistive devices. The results of the survey indicate that user-acceptance to systems that enhance safety and efficiency is ranked high. Driver–willingness to use advanced in-vehicle technology and cellphone applications is also found to be subjective on what benefits it has to offer and safety and efficiency are found to be in the top list. The dissertation then presents the algorithmic development of an Eco-Cooperative Adaptive Cruise Control system. The modeling of the system constitutes a modified state-of-the-art path-finding algorithm within a dynamic programming framework to find near-optimal and near-real-time solutions to a complex non-linear programming problem that involves minimizing vehicle fuel consumption in the vicinity of signalized intersections. The results demonstrated savings of up to 30 percent in fuel consumption within the traffic signalized intersection vicinity. The proposed system was tested in an agent-based environment developed in MATLAB using the RPA car-following model as well as the Society of Automobile Engineers (SAE) J2735 message set standards for vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. The results showed how multi-vehicle interaction enhances usability of the system. Simulation of a calibrated real intersection showed average fuel savings of nearly 30 percent for peak volumes. The fuel reduction was high for low volumes and decreased as the traffic volumes increased. The final testing of the algorithm was done in an enhanced Traffic Experimental Simulation tool (eTEXAS) that incorporates the conventional TEXAS model with a new web-service interface as well as connected vehicle message set dictionary. This testing was able to demonstrate model corrections required to negate the effect of system latencies as well as a demonstration of using SAE message set parsing in a connected vehicle application. Finally, the dissertation develops an integrated framework for the control of autonomous vehicle movements through intersections using a multi-objective optimization algorithm. The algorithm integrated within an existing framework that minimizes vehicle delay while ensuring vehicles do not collide. A lower-level of control is introduced that minimizes vehicle fuel consumption subject to the arrival times assigned by the upper-level controller. Results show that the eco-speed control algorithm was able to reduce the overall fuel-consumption of autonomous vehicles passing through an intersection by 15 percent while maintaining the 80 percent saving in delay when compared to a traditional signalized intersection control.<br>Ph. D.
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TADESSE, ADDISHIWOT. "Efficient Bare Metal Backup and Restore in OpenStack Based Cloud InfrastructureDesign : Implementation and Testing of a Prototype." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13727.

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Alisauskas, Saulius. "Community based testing." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-124393.

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Currently, Android is the most popular operating system for mobile devices, but at the same time, the market for Android devices is heavily fragmented in terms of available versions, types of devices, models, form-factors and manufactures. As a result, it is virtually impossible to test applications on all existing devices. Testing on a set of the most popular devices is more realistic but can be expensive, which makes it much more difficult for individual developers to create high quality applications. Fortunately, each Android application developer around the world typically owns at least one device which is not used all the time and could be shared with other developers. This way, a community shared pool of Android devices can be created for automated test execution. This master thesis reviews existing testing frameworks that are used for testing Android applications and analyzes existing services that in one way or another try to solve the problem of providing affordable ways of performing testing on real devices.  Main result of this thesis project is a working distributed community based testing service that enables developers to easily connect, share, and execute automated test cases on devices that use Android operating system. Moreover, it provides ways of decreasing overall test execution time by executing parts of tests in parallel on multiple devices and aggregating received results.<br>För närvarande är Android det mest populära operativ system för mobila enheter, men samtidigt marknaden för Android-enheter är starkt splittrat i fråga om tillgängliga versioner, typ av enhet, modeller, form-faktorer, och tillverkar. Som ett resultat, är det praktiskt taget omöjligt att testa applikationer på alla befintliga enheter. Testa på en uppsättning av de mest populära produkter är realistiskt men kan vara dyrt, vilket gör det mycket svårare för enskilda utvecklare att skapa högkvalitativa ansökningar. Lyckligtvis äger varje Android ansökan utvecklare i världen typiskt åtminstone en enhet som inte används hela tiden och kan delas med andra utvecklare. På så sätt kan en gemenskap delad pool av Android-enheter skapas för minst automatiserade test exekvering. Detta examensarbete går igenom gällande testning ramverk som används för att testa Android applikationer och analyser liknande tjänster som på ett eller annat sätt försöka lösa problemet med att tillhandahålla prisvärda sätt att utföra tester på riktiga enheter. Huvudsakliga resultat av detta examensarbete är en fungerande distribuerad gemenskap baserad testning tjänst som gör det möjligt för utvecklare att enkelt ansluta, dela och exekvera automatiserade testfall på enheter som använder operativsystemet Android. Dessutom ger det möjligheter att accelerera övergripande testexekvering tid genom att utfö!ra delar om tester parallellt på flera enheter och sammanställa erhållna resultat.
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Bard, Robin, and Simon Banasik. "En prestanda- och funktionsanalys av Hypervisors för molnbaserade datacenter." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20491.

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I dagens informationssamhälle pågår en växande trend av molnbaserade tjänster. Vid implementering av molnbaserade tjänster används metoden Virtualisering. Denna metod minskar behovet av antal fysiska datorsystem i ett datacenter. Vilket har en positiv miljöpåverkan eftersom energikonsumtionen minskar när hårdvaruresurser kan utnyttjas till sin fulla kapacitet. Molnbaserade tjänster skapar samhällsnytta då nya aktörer utan teknisk bakgrundskunskap snabbt kan komma igång med verksamhetsberoende tjänster. För tillämpning av Virtualisering används en så kallad Hypervisor vars uppgift är att distribuera molnbaserade tjänster. Efter utvärdering av vetenskapliga studier har vi funnit att det finns skillnader i prestanda och funktionalitet mellan olika Hypervisors. Därför väljer vi att göra en prestanda- samt funktionsanalys av Hypervisors som kommer från de största aktörerna på marknaden. Dessa är Microsoft Hyper-V Core Server 2012, Vmware ESXi 5.1.0 och Citrix XenServer 6.1.0 Free edition. Vår uppdragsgivare är försvarsmakten som bekräftade en stor efterfrågan av vår undersökning. Rapporten innefattar en teoretisk grund som beskriver tekniker bakom virtualisering och applicerbara användningsområden. Genomförandet består av två huvudsakliga metoder, en kvalitativ- respektive kvantitativ del. Grunden till den kvantitativa delen utgörs av ett standardsystem som fastställdes utifrån varje Hypervisors begränsningar. På detta standardsystem utfördes prestandatester i form av dataöverföringar med en serie automatiserade testverktyg. Syftet med testverktygen var att simulera datalaster som avsiktligt påverkade CPU och I/O för att avgöra vilka prestandaskillnader som förekommer mellan Hypervisors. Den kvalitativa undersökningen omfattade en utredning av funktionaliteter och begränsningar som varje Hypervisor tillämpar. Med tillämpning av empirisk analys av de kvantitativa mätresultaten kunde vi fastställa orsaken bakom varje Hypervisors prestanda. Resultaten visade att det fanns en korrelation mellan hur väl en Hypervisor presterat och vilken typ av dataöverföring som den utsätts för. Den Hypervisor som uppvisade goda prestandaresultat i samtliga dataöverföringar är ESXi. Resultaten av den kvalitativa undersökningen visade att den Hypervisor som offererade mest funktionalitet och minst begränsningar är Hyper-V. Slutsatsen blev att ett mindre datacenter som inte planerar en expansion bör lämpligtvis välja ESXi. Ett större datacenter som både har behov av funktioner som gynnar molnbaserade tjänster och mer hårdvaruresurser bör välja Hyper-V vid implementation av molntjänster.<br>A growing trend of cloud-based services can be witnessed in todays information society. To implement cloud-based services a method called virtualization is used. This method reduces the need of physical computer systems in a datacenter and facilitates a sustainable environmental and economical development. Cloud-based services create societal benefits by allowing new operators to quickly launch business-dependent services. Virtualization is applied by a so-called Hypervisor whose task is to distribute cloud-based services. After evaluation of existing scientific studies, we have found that there exists a discernible difference in performance and functionality between different varieties of Hypervisors. We have chosen to perform a functional and performance analysis of Hypervisors from the manufacturers with the largest market share. These are Microsoft Hyper-V Core Server 2012, Vmware ESXi 5.1.0 and Citrix XenServer 6.1.0 Free edition. Our client, the Swedish armed forces, have expressed a great need of the research which we have conducted. The thesis consists of a theoretical base which describes techniques behind virtualization and its applicable fields. Implementation comprises of two main methods, a qualitative and a quantitative research. The basis of the quantitative investigation consists of a standard test system which has been defined by the limitations of each Hypervisor. The system was used for a series of performance tests, where data transfers were initiated and sampled by automated testing tools. The purpose of the testing tools was to simulate workloads which deliberately affected CPU and I/O to determine the performance differences between Hypervisors. The qualitative method comprised of an assessment of functionalities and limitations for each Hypervisor. By using empirical analysis of the quantitative measurements we were able to determine the cause of each Hypervisors performance. The results revealed that there was a correlation between Hypervisor performance and the specific data transfer it was exposed to. The Hypervisor which exhibited good performance results in all data transfers was ESXi. The findings in the qualitative research revealed that the Hypervisor which offered the most functionality and least amount of constraints was Hyper-V. The conclusion of the overall results uncovered that ESXi is most suitable for smaller datacenters which do not intend to expand their operations. However a larger datacenter which is in need of cloud service oriented functionalities and requires greater hardware resources should choose Hyper-V at implementation of cloud-based services.
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Lo, Chao-wei, and 羅兆維. "Deploy a Cloud-Based Code Testing Environment." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/31687612822286419313.

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碩士<br>國立中央大學<br>資訊管理學系碩士在職專班<br>100<br>In the research, we try to leverage the on-demand and self-service feature of cloud computing to set up a cloud-based project deployment system. By integrating several cloud services, such as: AWS EC2 infrastructure as a service, CloudFoundry’s platform as a service and Opscode Chef’s configuration management service, we can speed up the test environment build up process and all project members can use the cloud deployment system to deploy the artifact of target project with specific version via a simple and easy use web user interface. Using Cloud Deployment System not only can simplify the software testing process but also make enterprise save more man power and cost of hardware devices.
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Hsieh, Sheng-Jen, and 謝勝任. "A flexible public cloud based testing service for heterogeneous testing targets." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/p4du54.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>102<br>To guarantee quality of the service, services need to be tested to ensure the service quality. But most of existing testing service can’t provide multi-type testing and deploy testing clients concurrently in different regions. To overcome these problems, in this paper, a cloud testing service combine cloud computing and multi-testing tools is proposed. Using the proposed service user can deploy the testing clients in different countries to access the testing targets, when the testing is finish user can easily get both of detail and summarized test results. To show the capabilities of proposed service, four experiments are performed. The results shows that the proposed service can guarantee testing quality, automatically deploy testing clients concurrently in different region, get latency from different countries, and perform press testing.
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Kang, Chih-Yu, and 康芷瑜. "Performance Testing Experiments for Web Applications Based on a Cloud Testing Service." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/rtu46r.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>101<br>During the design and development of web applications, in addition to testing functional requirements, a tester must make sure that the performance of the system, such as response time and the maximum number of concurrent users, is acceptable so that the quality and stability of the application can be satisfied. This thesis conducts performance testing based on the cloud testing system developed by the Software Development and Testing Lab of National Taipei University of Technology. A tester writes a test script by using HyperGTT. The cloud testing system can simulate many virtual users simultaneously and can automatically perform testing and generate test reports. The bottleneck of the web application can be identified by analyzing the test report, which contains the test execution time and the usage of CPU, Disk, Network, and Memory. This thesis designs 4 experiments to study the distribution of hardware resources, the number of virtual users that a virtual machine can simulate, and the number of concurrent users that a web application can serve. The experimental results reveal that distributing hardware resources is better than centralizing them. In addition, the maximum number of concurrent users for each use-case scenario can be identified.
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Books on the topic "Cloud-Based Testing"

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Novikov, Anatoliy, Tat'yana Solodkaya, Aleksandr Lazerson, and Viktor Polyak. Econometric modeling in the GRETL package. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1732940.

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The tutorial describes the capabilities of the GRETL statistical package for computer data analysis and econometric modeling based on spatial data and time series. Using concrete economic examples, GRETL considers classical and generalized models of linear and nonlinear regression, methods for detecting and eliminating multicollinearity, models with variable structure, autoregressive processes, methods for testing and eliminating autocorrelation, as well as discrete choice models and systems of simultaneous equations.&#x0D; For the convenience of users, the tutorial contains all the task data files used in the work in the format .GDTs are collected in an application in the cloud so that users have access to them.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation in the disciplines of "Econometrics" and "Econometric modeling".&#x0D; For students and teachers of economic universities in the field of Economics, as well as researchers who use econometric methods to model socio-economic phenomena and processes.
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Messier, Ric. Build Your Own Cybersecurity Testing Lab: Low-Cost Solutions for Testing in Virtual and Cloud-Based Environments. McGraw-Hill Education, 2020.

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Bilal, Dania. Library Automation. 3rd ed. ABC-CLIO, LLC, 2014. http://dx.doi.org/10.5040/9798400679001.

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Recent advances in technology such as cloud computing, recent industry standards such as RFID, bibliographic standards like RDA and BIBFRAME, the increased adoption of open source integrated library systems (ILS), and continued shift in users' expectations have increased the complexity of the decision regarding ILS for all types of libraries. Recent advances in technology such as cloud computing, recent industry standards such as RFID, bibliographic standards like RDA and BIBFRAME, the increased adoption of open source integrated library systems (ILS), and continued shift in users' expectations have increased the complexity of the decision regarding ILS for all types of libraries. In a complete re-envisioning of the previous edition, Automating Media Centers and Small Libraries: A Microcomputer-Based Approach, Dania Bilal conceptualizes library automation in the Library Automation Life Cycle (LALC) that is informed by the systems development lifecycle (SDLC). She explains how the next-generation discovery services supported in the library services platforms (LSPs) provide a single point of access to library content in all types and formats, thereby offering a unified solution to managing library operations. The book covers methods of analyzing user requirements, describes how to structure these requirements in RFPs, and details proprietary and open-source integrated library systems (ILSs) and LSPs for school, public, special, and academic libraries. Up-to-date information is provided about ILS software installation and testing, software and hardware architecture such as single- and multi-tenant SaaS and Paas and IaaS, and usability assessment strategies for evaluating the ILS or LSP. The author concludes by describing what is likely coming next in the library automation arena.
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Book chapters on the topic "Cloud-Based Testing"

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Chana, Inderveer, and Priyanka Chawla. "Testing Perspectives for Cloud-Based Applications." In Computer Communications and Networks. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5031-2_7.

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Ouffoué, Georges, Fatiha Zaïdi, and Ana R. Cavalli. "Attack Tolerance for Services-Based Applications in the Cloud." In Testing Software and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31280-0_15.

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Lefticaru, Raluca, and Anthony J. H. Simons. "X-Machine Based Testing for Cloud Services." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14886-1_17.

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Saleh, Iman, and Khaled Nagi. "HadoopMutator: A Cloud-Based Mutation Testing Framework." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14130-5_13.

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Kiran, Mariam, Andreas Friesen, Anthony J. H. Simons, and Wolfgang K. R. Schwach. "Model-Based Testing in Cloud Brokerage Scenarios." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06859-6_17.

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Al-Khannak, Rafid, and Sajjan Singh Nehal. "Penetration Testing for the Cloud-Based Web Application." In ICT: Innovation and Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9486-1_3.

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Geetha Devasena, M. S., R. Kingsy Grace, S. Manju, and V. Krishna Kumar. "PTCWA: Performance Testing of Cloud Based Web Applications." In New Trends in Computational Vision and Bio-inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_32.

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Li, Zhenhua, Yafei Dai, Guihai Chen, and Yunhao Liu. "Fast and Light Bandwidth Testing for Mobile Internet." In Content Distribution for Mobile Internet: A Cloud-based Approach. Springer Nature Singapore, 2012. http://dx.doi.org/10.1007/978-981-19-6982-9_2.

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Wang, Weiwei, Xiaosong Zhang, Ting Chen, Xueyang Wu, and Xiaoshan Li. "Cloud Computing Based Software Testing Framework Design and Implementation." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25541-0_99.

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Alourani, Abdullah, Md Abu Naser Bikas, and Mark Grechanik. "Search-Based Stress Testing the Elastic Resource Provisioning for Cloud-Based Applications." In Search-Based Software Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99241-9_7.

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Conference papers on the topic "Cloud-Based Testing"

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Gao, Qiang, Minglei Zhang, and Qi Sun. "Research on Maintenance Testing Technology of Information Equipment Based on Cloud Testing." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696624.

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Hu, Zhifei, Zeyu Zang, Shuoyang Fan, Shuang Liu, Zhong Zhang, and Chaojun Shi. "Ground-based cloud detection using mixture losses." In Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), edited by Sumeet S. Aphale and Ajit Jha. SPIE, 2024. https://doi.org/10.1117/12.3055456.

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Mani, Dhanabal, Sai Chandra Reddy Thota, and Abel Gonzalez. "Cloud-Based End-to-End Testing of Protection Schemes." In 2024 77th Annual Conference for Protective Relay Engineers (CFPR). IEEE, 2024. http://dx.doi.org/10.1109/cfpr61009.2024.10743015.

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Maria, Olariu Eliza, and Hedesiu Horia. "Experience Report on Teaching Distributed Testing Bench for Cloud-Based Applications." In 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C). IEEE, 2024. http://dx.doi.org/10.1109/saner-c62648.2024.00016.

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Xiang, Dong, Yan Zheng, Shan Lin, et al. "Demonstration project of energy management system based on cloud platform for rail transit." In Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), edited by Sumeet S. Aphale and Ajit Jha. SPIE, 2024. https://doi.org/10.1117/12.3055419.

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Dan, Ningyun, Lun Zhao, Wenjin Pan, and Yan Cai. "Research on Dynamic Fuzzy Testing in Securing Cloud Infrastructure based on Deep Learning." In 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE). IEEE, 2024. https://doi.org/10.1109/cbase64041.2024.10824501.

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Mojahed, Sundos, Réjean Drouin, and Lokman Sboui. "ODACE-MS: A Remote Cloud-Based Testing Automation Platform for Multi-Android Devices Certification." In 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2024. http://dx.doi.org/10.1109/ccece59415.2024.10667097.

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Murugesan, Logeshwaran, and Prakash Balasubramanian. "Cloud based mobile application testing." In 2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS). IEEE, 2014. http://dx.doi.org/10.1109/icis.2014.6912148.

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Rojas, Isabel K. Villanes, Silvia Meireles, and Arilo Claudio Dias-Neto. "Cloud-Based Mobile App Testing Framework." In the 1st Brazilian Symposium. ACM Press, 2016. http://dx.doi.org/10.1145/2993288.2993301.

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Jun, Wang, and Fanpeng Meng. "Software Testing Based on Cloud Computing." In information Services (ICICIS). IEEE, 2011. http://dx.doi.org/10.1109/icicis.2011.51.

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Reports on the topic "Cloud-Based Testing"

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Mitra, Sayan. Continuous Integration and Deployment Infrastructure for Rapid Testing of Autonomous Transportation Systems. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-017.

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This project has led to the creation of an automated-testing infrastructure for autonomy code. The framework uses Jenkins, AWS Lambda, Docker, Kubernetes, and other open-source technologies. It was utilized and evaluated both for the Generalized Racing Intelligence Competition (GRAIC) and for evaluating student programming assignments for the principles of safe autonomy course (ECE484). This infrastructure has improved our capability to evaluate (autograde) student design assignments, and students can also receive precise feedback on their work as they progress through various design challenges. This infrastructure has significantly improved our capability in both automatic, cloud-based testing of autonomy code and making this service available to a large population of students.
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Korobeinikova, Tetiana I., Nataliia P. Volkova, Svitlana P. Kozhushko, et al. Google cloud services as a way to enhance learning and teaching at university. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3854.

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The article is devoted to the issue of a cloud-based learning system implementation as a powerful strategy for future specialists’ training at higher educational establishments. Using cloud computing in self-work management of the university courses is essential to equip students with a workload of appropriate educational materials and variable activities for professional training. Theoretical and empirical research methods were applied to select the appropriate services and tools for organizing students’ self-work at university. Critical analysis of scientific literature, synthesis of the data, didactic observation of the educational process, designing of the skeleton for university courses, questionnaires enabled to facilitate the study of the issue. G Suite has been chosen to enhance the quality of training of prospective specialists at a higher educational establishment. This paper introduces the outcomes of the project on applying Google Classroom in the management of students’ self-work while studying university courses. The focus of the first stage of the project was on testing pilot versions of the courses with the aim to work out the requirements and recommendations for incorporation general blended learning model of university courses. Particular attention is drawn to the designed model of the university course based on the curriculum with the necessary components of blended learning in the G Suite virtual environment. Cloud-based higher education is considered as a prospective tool for design of university courses with the need for further research and implementation.
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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development of an IoT-based hardware system for wireless data collection and a cloud-based platform for efficient data processing. A key innovation is the integration of machine learning tools, which not only enhance immediate strength predictions but also facilitate long-term projections vital for maintenance and asset management. To bring this technology to practical use, we collaborated with third-party manufacturers to set up a production line for the sensor and datalogger assembly. The system was extensively tested in various field scenarios, including pavements, patches, and bridge decks. Our refined signal processing algorithms, benchmarked against a mean absolute percentage error (MAPE) of 16%, which is comparable to the ASTM C39 interlaboratory variance of 14%, demonstrate reliable accuracy. Additionally, we have developed a comprehensive user manual to aid field engineers in deploying, connecting, and maintaining the sensing system, paving the way for broader implementation in real-world construction settings.
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Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.

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Construction and concrete production are time-sensitive and fast-paced; as such, it is crucial to monitor the in-place strength development of concrete structures in real-time. Existing concrete strength testing methods, such as the traditional hydraulic compression method specified by ASTM C 39 and the maturity method specified by ASTM C 1074, are labor-intensive, time consuming, and difficult to implement in the field. INDOT’s previous research (SPR-4210) on the electromechanical impedance (EMI) technique has established its feasibility for monitoring in-situ concrete strength to determine the optimal traffic opening time. However, limitations of the data acquisition and communication systems have significantly hindered the technology’s adoption for practical applications. Furthermore, the packaging of piezoelectric sensor needs to be improved to enable robust performance and better signal quality. In this project, a wireless concrete sensor with a data transmission system was developed. It was comprised of an innovated EMI sensor and miniaturized datalogger with both wireless transmission and USB module. A cloud-based platform for data storage and computation was established, which provides the real time data visualization access to general users and data access to machine learning and data mining developers. Furthermore, field implementations were performed to prove the functionality of the innovated EMI sensor and wireless sensing system for real-time and in-place concrete strength monitoring. This project will benefit the DOTs in areas like construction, operation, and maintenance scheduling and asset management by delivering applicable concrete strength monitoring solutions.
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