A systematic mapping study of performance analysis and modelling of cloud systems and applications

Cloud computing is a paradigm that uses utility-driven models in providing dynamic services to clients at all levels. Performance analysis and modelling is essential because of service level agreement guarantees. Studies on performance analysis and modelling are increasing in a productive manner on the cloud landscape on issues like virtual machines and data storage. The objective of this study is to conduct a systematic mapping study of performance analysis and modelling of cloud systems and applications. A systematic mapping study is useful in visualization and summarizing the research carried in an area of interest. The systematic study provided an overview of studies on this subject by using a structure, based on categorization. The results are presented in terms of research such as evaluation and solution, and contribution such as tools and method utilized. The results showed that there were more discussions on optimization in relation to tool, method and process with 6.42%, 14.29% and 7.62% respectively. In addition, analysis based on designs in terms of model had 14.29% and publication relating to optimization in terms of evaluation research had 9.77%, validation 7.52%, experience 3.01%, and solution 10.51%. Research gaps were identified and should motivate researchers in pursuing further research direction

Pengembangan Framework Smart Mobile Cloud Learning System Untuk Pendidikan Pembelajaran Cerdas Menuju Smart Learning Environment

Abstrak: Pembelajaran telah berkembang secara signifikan, menciptakan beberapa tantangan bagi sistem pendidikan tradisional. Pergeseran paradigma dalam pendidikan ini sudah dekat dan sejak itu menarik banyak perhatian dalam beberapa tahun terakhir, sebagai upaya untuk menjembatani kesenjangan teknologi di sektor pendidikan. Penelitian ini mencoba untuk mengembangkan framework smart mobile cloud learning system berdasarkan intelligent learning model  untuk pendidikan pembelajaran cerdas, berdasarkan desain, pengembangan, dan pengujian sistem pembelajaran berbasis mobile cloud. Sistem ini dapat memberikan pembelajaran cerdas kapan saja-di mana saja yang disesuaikan dengan individu, dan disampaikan melalui perangkat mobile pribadi. Penelitian ini membahas mobile cloud-education – sebuah penelitian mutakhir baru di bidang smart learning system, berdasarkan desain, pengembangan, dan pengujian framework smart mobile cloud learning system. Sistem ini dapat memberikan pembelajaran cerdas kapan saja-di mana saja yang disesuaikan dan disesuaikan dengan individu, dan disampaikan melalui perangkat portabel pribadi. Pengujian awal sistem mengungkapkan efektivitasnya dalam mendukung proses pengajaran dan pembelajaran.   Kata kunci: Framework Smart Mobile Cloud Learning System, Intelligent Learning Model, Smart Learning Environment, Mobile Learning, Cloud Learning   Abstract: Learning has evolved significantly, creating several challenges for traditional education systems. This paradigm shift in education is imminent and has since attracted much attention in recent years, as an attempt to bridge the technology gap in the education sector. This study tries to develop a smart mobile cloud learning system framework based on intelligent learning models for intelligent learning education, based on the design, development, and testing of mobile cloud-based learning systems. This system can provide intelligent anytime-anywhere learning tailored to the individual, and delivered via personal mobile devices. This study discusses mobile cloud-education – a new cutting-edge research in the field of smart learning systems, based on the design, development, and testing of a smart mobile cloud learning system framework. This system can provide intelligent anytime-anywhere learning that is tailored and tailored to the individual, and delivered via personal portable devices. Initial testing of the system reveals its effectiveness in supporting the teaching and learning process.   Keywords: Framework Smart Mobile Cloud Learning System, Intelligent Learning Model, Smart Learning Environment, Mobile Learning, Cloud Learnin

Challenges and lessons from conducting audit research using social media

: Social media play an increasingly important role as both a means of communication and a source of information. Furthermore, social media provide a variety of time and cost-efficient, as well as participant-friendly, communication and networking channels, which expand the research repertoire in terms of recruitment and conducting interviews. The purpose of this paper is to broaden researchers’ understanding of the potential of using social media to facilitate qualitative research, and to guide them in the selection and use of social media channels considering the contextual differences. This paper adopts a qualitative methodology aimed at reflecting on the researcher’s experience of recruiting participants and conducting interviews using social media. The paper is the first of its kind to explore the potential of incorporating social media as a tool in qualitative research while considering contextual and cultural factors

PENGEMBANGAN FRAMEWORK MOBILE CLOUD COMPUTING DALAM MOBILE LEARNING SYSTEM UNTUK MENYEDIAKAN VIDEO LEARNING RESOURCES MATERIAL

Dalam proses pembelajaran yang menggunakan Teknologi Informasi dan Komunikasi (TIK) sebagai sarana utamanya, ketersediaan bahan ajar multimedia sangat dibutuhkan, salah satunya bahan ajar dalam bentuk video. Sementara para pengajar umumnya memiliki keterbatasan dalam menciptakan bahan ajar dalam bentuk video, baik keterbatasan keterampilan maupun sumber daya. Model pemanfaatan bahan ajar seperti Reusable Learning Objects (RLOs), Open Educational Resources (OER), dan Massive Open Online Courses (MOOCs) telah diusulkan oleh para peneliti sebelumnya untuk membantu memperoleh bahan ajar, tetapi model tersebut umumnya menyediakan bahan ajar yang diperoleh dari lembaga-lembaga pendidikan. Tujuan dari penelitian ini adalah mengembangan framework mobile cloud computing dalam mobile learning system  untuk menciptakan sebuah sistem yang dapat membantu pengajar dalam memperoleh bahan ajar video dari situs penyedia video seperti Youtube, Dailymotion, Showme, Vimeo dan lain-lain untuk pembelajaran tingkat dasar, menengah, atas dan perguruan tinggi. Metode yang digunakan ialah Mobile Development Life Cycle (MDLC). Hasil implementasi framework telah terbukti dapat menyediakan bahan ajar yang sesuai dengan kebutuhan. Para pengajar dari beberapa universitas, Hasil pengujian aplikasi cloud menunjukkan 79,5%, sedangkan hasil pengujian fungsional 75,65% dan pengujian expert 81,5% keseluruhan hasil pengujian menujukan  bahwa hasil implementasi framework tersebut dapat menyediakan bahan ajar yang sesuai dengan kebutuhan siswa. Hasil dari penelitian ini menunjukkan bahwa aplikasi mobile learning berbasis cloud ini mampu memberikan manfaat kepada siswa dalam menyediakan video pembelajaran yang sesuai dengan kebutuhan siswa

Problems and Solutions in Mobile Application Testing

Mobiilirakenduste testimise alaste teadusartiklite arv on viimastel aastatel visalt suurenenud. Samas testivad vähesed mobiilirakendustega tegelevad teadlased oma oletusi ja lahendusi firmades. Selle lõputöö eesmärgiks on pakkuda ülevaade teaduskirjanduses mainitud mobiilirakenduste testimisega seotud probleemidest ja potentsiaalsetest lahendustest ning kõrvutada seda alal igapäevaselt tegutsevate professionaalide arvamusega. Kõigepealt viiakse selle töö käigus läbi teaduskirjanduse uuring probleemide ja potentsiaalsete lahenduste väljaselgitamiseks, misjärel intervjueeritakse kuue mobiilirakenduste testimisega tegeleva firma esindajaid, et välja selgitada, kas kirjelduses esile toodud probleemid on olulised ka tööstuses. Intervjuude tulemusena selgus, et kuigi firmad hindavad probleemide tähtsust väga erinevalt, on siiski olemas mõned võtmeprobleemid, mida peetakse oluliseks nii teaduses kui ka tööstuses. Samas on teaduskirjanduses pakutud lahendused tihti liiga teoreetilised, üldised või vananenud, et firmade esindajatele huvi pakkuda.In recent years the amount of scientific papers published on the topic of mobile applications has significantly increased. However, few researchers test their assumptions and solutions in industry. This thesis aims to provide an overview of what current scientific literature considers problems and potential solutions in mobile application testing, and compare it to opinions of industry professionals. A literature review is performed to extract the list of problems and potential solutions, after which representatives of six Estonian companies involved in the field are interviewed to verify whether the problems and solutions proposed in the literature are relevant for industry. The study reveals that while the relevance of each problem is highly variable from one company to another, there are some key problems that are generally considered vital both by research and industry. However, the solution concepts proposed by scientific literature are often too theoretical, general or outdated to be of much interest to industry professionals

Development of a Logistics Decision Support Tool for Small and Medium Companies to Evaluate the Impacts of Environmental Regulations in California

UC-ITS-2020-43Satisfying the demand for goods requires the movement of commercial and private vehicles, which are responsible for multiple negative impacts including noise, emissions, and traffic congestion. While efficiency is crucial for sustainable and profitable freight transportation, operations are typically inefficient with respect to emissions and social impacts. The reasons for such inefficiency are diverse, including the need for several attempts to complete a delivery and the under usage of vehicle capacity. The arrival of zero-emission and near-zero-emission medium- and heavy-duty vehicles may reduce (tailpipe) emissions. Multiple government agencies have supported the development and promotion of cleaner vehicles through strategies such as economic incentives to support purchases and disincentives to using internal combustion engine vehicles. However, small- and medium-sized companies face challenges in adopting cleaner vehicles, either because of high purchase costs or because the volume of their operations may not justify the expense. To address this issue, this work evaluates cooperative strategies between noncompeting companies that would exploit economies of scale through the sharing of vehicle capacities in joint routing. The work develops a decision support tool named Cargo Aggregator Beta 1.0, which provides companies willing to cooperate with an efficient joint route to pick-up and deliver cargo from different origins and destinations. The tool, based on an extension of the vehicle routing problem, allows users to consider different vehicle capacities, decide on charging and/or refueling points, consider multiple depots, and guarantee the completion of all deliveries in a general time window. The tool can be used to better understand the impact of sustainability policies that would limit the amount of pollutant emissions generated, or policies that seek to restrict fleet composition. Numerical analyses using study cases in California show the potential benefits of implementing these collaborations in reducing both costs and emissions

Cloud Based Mobile Application Testing

Abstract -In today's world all applications are available on mobile and therefore there is a certain need to develop all applications on mobile as well. Since there is huge demand for mobile applications these application needs to be tested thoroughly for its correctness. Testing of mobile application is the most difficult task due to its varieties and different operating systems. Although there are simulators and emulators available but they only simulate the working of operating system and cannot test the core functionalities for the mobile device. In order to overcome above testing issues cloud testing provides major solution to the problems faced during mobile testing. Making use of cloud infrastructure in which the service provider does the software testing activities of a given mobile application in a cloud infrastructure for customers as a service based on their requirements

A Systematic Mapping Study on Cloud-Based Mobile Application Testing

Mobile applications and devices have played a significant role in boosting global businesses that encompass various domains such as health, education, banking, and transportation. These tools have become indispensable for everyday activities, and its applications have been developing rapidly with diverse features and platforms. However, this has created new problems and security challenges. To ensure the quality and security of these applications, a rigorous and systematic testing using cloud-based environment is required. By employing systematic mapping study (SMS) method, this paper will examine the empirical studies that address the issues on cloud-based mobile application testing. This paper presents a total of 23 primary studies that investigate cloud based mobile application testing and the effect of Testing as a Service (TaaS). The majority of these studies (56.5%) contribute to literature with a number of framework proposals. A large proportion of the studies (60.9%) analyzed Android applications, and usually supported a single type of mobile app testing. Other than that, the majority of the studies (52.2%) have failed to investigate the outcomes of TaaS, despite a plethora of services that offers TaaS. The SMS method conducted in this paper has identified gaps in literature, which are: 1) there is a lack of general and scalable approaches to support the diverse types of mobile app testing for applications using various platforms, and 2) the lack of evaluation methods such as case study to validate the proposed approaches

A systematic mapping study on cloud-based mobile application testing

Mobile applications and devices have played a significant role in boosting global businesses that encompass various domains such as health, education, banking, and transportation. These tools have become indispensable for everyday activities, and its applications have been developing rapidly with diverse features and platforms. However, this has created new problems and security challenges. To ensure the quality and security of these applications, a rigorous and systematic testing using cloud-based environment is required. By employing systematic mapping study (SMS) method, this paper will examine the empirical studies that address the issues on cloud-based mobile application testing. This paper presents a total of 23 primary studies that investigate cloud based mobile application testing and the effect of Testing as a Service (TaaS). The majority of these studies (56.5%) contribute to literature with a number of framework proposals. A large proportion of the studies (60.9%) analyzed Android applications, and usually supported a single type of mobile app testing. Other than that, the majority of the studies (52.2%) have failed to investigate the outcomes of TaaS, despite a plethora of services that offers TaaS. The SMS method conducted in this paper has identified gaps in literature, which are: 1) there is a lack of general and scalable approaches to support the diverse types of mobile app testing for applications using various platforms, and 2) the lack of evaluation methods such as case study to validate the proposed approaches