Pooja Srinivas, Fiza Husain, Anjaly Parayil
et al.
Cloud service owners need to continuously monitor their services to ensure high availability and reliability. Gaps in monitoring can lead to delay in incident detection and significant negative customer impact. Current process of monitor creation is ad-hoc and reactive in nature. Developers create monitors using their tribal knowledge and, primarily, a trial and error based process. As a result, monitors often have incomplete coverage which leads to production issues, or, redundancy which results in noise and wasted effort. In this work, we address this issue by proposing an intelligent monitoring framework that recommends monitors for cloud services based on their service properties. We start by mining the attributes of 30,000+ monitors from 791 production services at Microsoft and derive a structured ontology for monitors. We focus on two crucial dimensions: what to monitor (resources) and which metrics to monitor. We conduct an extensive empirical study and derive key insights on the major classes of monitors employed by cloud services at Microsoft, their associated dimensions, and the interrelationship between service properties and this ontology. Using these insights, we propose a deep learning based framework that recommends monitors based on the service properties. Finally, we conduct a user study with engineers from Microsoft which demonstrates the usefulness of the proposed framework. The proposed framework along with the ontology driven projections, succeeded in creating production quality recommendations for majority of resource classes. This was also validated by the users from the study who rated the framework's usefulness as 4.27 out of 5.
This paper explores the architecture of Software as a Service (SaaS) platforms, emphasizing scalability and maintainability. SaaS, a flexible software distribution model suitable for individuals and organizations, has become prevalent with the advent of Cloud services. This paper aims to provide a high-level design reference for establishing a scalable and maintainable SaaS architecture.
Ez a tanulmány a rendszeresen komolyzenei koncerteket látogatók hangversenyélményébe és annak pszichológiai hátterébe enged betekintést különös tekintettel a motivációra és örömforrásra. A vizsgálati mintát 36 fő (12 férfi és 24 nő) alkotta, átlagos életkoruk 41,58 ±15,47 év. Célkitűzés: A kutatás kvalitatív módszer alkalmazásával tárja fel a hangverseny-látogatás mögött húzódó motívumokat. Ez a megközelítés sokkal több információval szolgál, mint a kvantitatív megközelítés. Eredmények: Az eredmények arra engednek következtetni, hogy a hangversenyre járók legfőbb motiváció az öröm és a boldogság átélése a zenehallgatás során, valamint a nyugalom megtapasztalása, mely velük marad a hangversenyt követő hetekben, hónapokban is.
Modern In-Vehicle Networks (IVNs) are composed of a large number of devices and services linked via an Ethernet-based time-sensitive network. Communication in future IVNs will become more dynamic as services can be updated, added, or removed during runtime. This requires a flexible and adaptable IVN, for which Software-Defined Networking (SDN) is a promising candidate. In this paper, we show how SDN can be used to support a dynamic, service-oriented network architecture. We demonstrate our concept using the SOME/IP protocol, which is the most widely deployed implementation of automotive service-oriented architectures. In a simulation study, we evaluate the performance of SOME/IP-adaptive SDN control compared to standard Ethernet switching and non-optimized SDN. Our results show an expected overhead introduced by the central SDN controller, which is, however, reduced by up to 50% compared to SOME/IP-unaware SDN.For a large number of services, the setup time is in the order of milliseconds, which matches standard Ethernet switching. A SOME/IP-aware SDN controller can optimize the service discovery to improve adaptability, robustness, security, and Quality-of-Service of the IVN while remaining transparent to existing SOME/IP implementations.
Md Washik Al Azad, Hasniuj Zahan, Sifat Ut Taki
et al.
Tor is the most popular anonymous communication overlay network which hides clients' identities from servers by passing packets through multiple relays. To provide anonymity to both clients and servers, Tor onion services were introduced by increasing the number of relays between a client and a server. Because of the limited bandwidth of Tor relays, large numbers of users, and multiple layers of encryption at relays, onion services suffer from high end-to-end latency and low data transfer rates, which degrade user experiences, making onion services unsuitable for latency-sensitive applications. In this paper, we present a UDP-based framework, called DarkHorse, that improves the end-to-end latency and the data transfer overhead of Tor onion services by exploiting the connectionless nature of UDP. Our evaluation results demonstrate that DarkHorse is up to 3.62x faster than regular TCP-based Tor onion services and reduces the Tor network overhead by up to 47%.
Ryohei Suzuki, Iifan Tyou, Shigenori Ohashi
et al.
The emergence of Consumer-to-Consumer (C2C) platforms has allowed consumers to buy and sell goods directly, but it has also created problems, such as commodity fraud and fake reviews. Trust Management Algorithms (TMAs) are expected to be a countermeasure to detect fraudulent users. However, it is unknown whether TMAs are as effective as reported as they are designed for Peer-to-Peer (P2P) communications between devices on a network. Here we examine the applicability of `EigenTrust', a representative TMA, for the use case of C2C services using an agent-based model. First, we defined the transaction process in C2C services, assumed six types of fraudulent transactions, and then analysed the dynamics of EigenTrust in C2C systems through simulations. We found that EigenTrust could correctly estimate low trust scores for two types of simple frauds. Furthermore, we found the oscillation of trust scores for two types of advanced frauds, which previous research did not address. This suggests that by detecting such oscillations, EigenTrust may be able to detect some (but not all) advanced frauds. Our study helps increase the trustworthiness of transactions in C2C services and provides insights into further technological development for consumer services.
El número 18 de la revista Turismo y Patrimonio aparece en un momento en que el mundo viene afrontando y emergiendo de una de las mayores crisis de los últimos cien años. En esta etapa son cruciales las decisiones que se toman en los gobiernos locales y regionales para determinan el avance en todo ámbito afectado por la pandemia de la COVID-19. Por su parte, la ciencia debe asumir una serie de retos para enfrentar la emergencia sanitaria que destaca por su dureza y condición irreparable de pérdidas humanas; a lo que suman los efectos sociales, económicos, educativos y, por supuesto el turístico.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service, Recreation leadership. Administration of recreation services
Purpose: The aim of the work is to study the osmotic stability and morpho-functional features of peripheral blood erythrocytes of patients with chronic fatigue syndrome depending on the level of exercise tolerance and associated risk factors. groups of factors that may be the cause, so the development of measures to eliminate them is an urgent problem today, which requires the development of effective ways to correct chronic fatigue syndrome. It is known that the peripheral part of erythron actively responds to changes that occur in the whole body after the action of various factors, including those factors that lead to chronic fatigue syndrome.
Material and methods of research. The examination was performed on the basis of the Department of Vascular Neurology of the Central Clinical Hospital of Ivano-Frankivsk. The study involved 30 patients aged 55-65 years (mean age 60.6 + 1.2 years), who were divided into 3 groups: 1 gr. included 10 patients with chronic fatigue syndrome and a high level of exercise tolerance. The 2nd group included 10 patients with chronic fatigue syndrome and the average level of exercise tolerance, the composition of 3 gr. included 10 patients with chronic fatigue syndrome associated cardiovascular pathology (angina pectoris, hypertension) and low exercise tolerance (3 gr.).
Results. It is established that chronic fatigue syndrome proceeds in 3 phases and has natural stages of development which are characterized by three groups of etiological factors and the corresponding levels of teletransitivity to physical activity, each of which corresponds to a certain erythrocyte profile and level of osmotic stability of erythrocytes which are offered to use as prognostic and diagnostic characteristics. chronic fatigue syndrome.
Conclusions. The study of the quantitative composition of peripheral blood erythrocytes and hemoglobin, as well as their ratio (color index) in patients with chronic fatigue syndrome on the background of low levels of exercise tolerance revealed a decrease in erythrocytes and hemoglobin by 42% and 25%, respectively, indicating the presence of anemic hypoxia. 2. In conditions of chronic fatigue there is a decrease in osmotic resistance of erythrocytes, as evidenced by a decrease in the number of osmotically stable erythrocytes with a gradual decrease in the concentration of NaCl solution (3.0%; 0.5%; 0.46%; 0.3%). 3. In chronic fatigue there is a deterioration of membranes in peripheral blood erythrocytes, as evidenced by a decrease in their osmotic stability and an increase in the number of irreversibly altered forms of РВЕ, as well as a decrease in peripheral blood erythrocytes, which is closely correlated with decreased tolerance to exercise.
Sports, Recreation leadership. Administration of recreation services
Alexander Piddubny, Serhii Palevych, Vitaliy Kirpenko
et al.
Purpose: To study the relationship between the results of the Army Combat Fitness Test and the age, gender, body mass index, waist circumference, and health risk index in the military personnel of the Ukrainian army.
Design: The analysis was based on data collected in 2020 for 306 military personnel (255 men and 51 women).
Methods: To compare the number of the Army Combat Fitness Test performed and not performed by military personnel by age, Body Mass Index group, and non-obese and risk groups. Pearson χ2 test was used. Odds ratios were calculated to assess the risk factors for failing the Army Combat Fitness Test. These analyses were performed depending on gender. Loglinear and Receiver Operating Characteristic – these data were used to determine success within military personnel
Results: The incidence of non-compliance with the Army Combat Fitness Test in men and women was statistically different in all groups (p = 0.000). The results show 23.529% of male soldiers failed the test. Obese male soldiers did not pass this test (83.333%) while non-obese soldiers (20.576%). Among women, the number of those who did not pass the test was 78.431%. Male and female soldiers classified as "at-risk" had the highest test failure rates (54.255% and 97.436%).
The observed dependence is statistically significant (p <0.001). The relative risk index indicates a direct relationship between obesity and failing the test (p <0.001). Loglinear analysis yielded a meaningful model (χ2 (3) = 169.182; p = 0.000). Wald allows you to determine the statistical significance of individual indicators such as gender. Body Mass Index, risk. These indicators have a great impact on the success of the test. We can talk about a fairly high-quality predictive model with fairly high specificity and excellent classification.
Conclusions. The Army Combat Fitness Test is age-tolerant, and Body Mass Index and Waist Circumference are useful indicators for fitness test results for the Grounded forces.
Sports, Recreation leadership. Administration of recreation services
Fillipe Santos, Roger Immich, Edmundo R. M. Madeira
With the rapid development of mobile communication, multimedia services have experienced explosive growth in the last few years. The high quantity of mobile users, both consuming and producing these services to and from the Cloud Computing (CC), can outpace the available bandwidth capacity. Fog Computing (FG) presents itself as a solution to improve on this and other issues. With a reduction in network latency, real-time applications benefit from improved response time and greater overall user experience. Taking this into account, the main goal of this work is threefold. Firstly, it is proposed a method to build an environment based on Cloud-Fog Computing (CFC). Secondly, it is designed two models based on Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM). The goal is to predict demand and reserve the nodes' storage capacity to improve the positioning of multimedia services. Later, an algorithm for the multimedia service placement problem which is aware of data traffic prediction is proposed. The goal is to select the minimum number of nodes, considering their hardware capacities for providing multimedia services in such a way that the latency for servicing all the demands is minimized. An evaluation with actual data showed that the proposed algorithm selects the nodes closer to the user to meet their demands. This improves the services delivered to end-users and enhances the deployed network to mitigate provider costs. Moreover, reduce the demand to Cloud allowing turning off servers in the data center not to waste energy
The use of mobile payment services is an essential contributor to financial inclusion in emerging markets. Unfortunately, the service has become a platform for fraud. Mobile payment users need to be digitally resilient to continue using the service after adverse events. However, there is scant literature on users' continuance use of mobile payment services in the post-event of fraud. The focal point of prior literature has been on technology adoption or threat avoidance to implement policies that protect users. Analysing the relationship between individual digital resilience and post-adoption behavioural patterns will enable service providers to support individual digital resilience to promote users' continuance use of the service. This research aims to develop and empirically validate a conceptual model to examine individual digital resilience in the context of the continuance use of mobile payments. The model will be based on protection motivation theory. Survey data will be obtained from victims of mobile payment fraud and other users who continue using the service despite their knowledge of mobile payment fraud. The results from this study are expected to make key contributions to theory, practice, and policy in the areas of digital resilience, mobile payments, and ICT4D.
We propose a novel top-k service composition framework for drone services under a dynamic environment. We develop a system model for formal modelling of drone services in a skyway network. The composition process is accomplished in two phases, i.e., computing top-k compositions and extending and ranking top-k compositions using probabilistic wait and recharge times under congestion conditions. We propose a top-k composition algorithm to compute the best service composition plan meeting user's requirements. A set of experiments with a real dataset is conducted to demonstrate the effectiveness of the proposed approach.
An increasing number and diversity of services are available, which result in significant challenges to effective reuse service during requirement satisfaction. There have been many service bundle recommendation studies and achieved remarkable results. However, there is still plenty of room for improvement in the performance of these methods. The fundamental problem with these studies is that they ignore the evolution of services over time and the representation gap between services and requirements. In this paper, we propose a dynamic representation learning and aligning based model called DySR to tackle these issues. DySR eliminates the representation gap between services and requirements by learning a transformation function and obtains service representations in an evolving social environment through dynamic graph representation learning. Extensive experiments conducted on a real-world dataset from ProgrammableWeb show that DySR outperforms existing state-of-the-art methods in commonly used evaluation metrics, improving $F1@5$ from $36.1\%$ to $69.3\%$.
Luciana-Floriana Holostencu, Mădălina-Ionela Iordache, Mădălina-Lavinia Ţală
et al.
The increasing rate of students enrolling into higher education leads undoubtedly to a more contrasted student body, impeding the identification of potential sources that might determine their option into continuing or dropping out of university, mainly after the first year of admission. Although there are various reasons why students drop out of university, ranging from personal, social or even technical ones (considering online blended learning), we will focus mainly on difficulties encountered by students related to specific subjects or teaching techniques, known as academic difficulties. Therefore, considering Romania’s higher education is facing retention problems among students in various universities around the country, the purpose of the present study is to analyze the influence of a particular variable which, lato sensu, consists in students’ inability of channeling their resources into getting a deeper understanding of various university subjects in order to achieve effective learning and therefore successfully continue their studies. A quantitative study consisting in a two-stages questionnaire was carried out with 70 first year students enrolled at the Bucharest University of Economic Studies, the Faculty of Business and Tourism who agreed to take part into the development of their academic performance by joining the agenda provided via the Secondary Education Project – ROSE BT. The present research offers empirical evidence that might be useful for future decision-making in order to improve educational processes and both students’ and professors’ accomplishments in university settings. Also, the results have indicated that students who have difficulties into understanding first-year subjects are more open to engage into further communication and academic activities with their professors and also to adapt to improved teaching and interaction techniques or strategies.
Recreation leadership. Administration of recreation services, Business
The trustworthiness of modern networked services is too important to leave to chance. We need to design these services with specific properties in mind, and verify that the properties hold. In this paper, we argue that a compositional network architecture, based on a notion of layering where each layer is its own complete network customized for a specific purpose, is the only plausible approach to making network services verifiable. Realistic examples show how to use the architecture to reason about sophisticated network properties in a modular way. We also describe a prototype in which the basic structures of the architectural model are implemented in efficient P4 code for programmable data planes, then explain how this scaffolding fits into an integrated process of specification, code generation, implementation of additional network functions, and automated verification.
With the development of cloud computing, service computing, IoT(Internet of Things) and mobile Internet, the diversity and sociality of services are increasingly apparent. To meet the customized user demands, service ecosystems begins to emerge with the formation of various IT services collaboration network. However, service ecosystem is a complex social-technology system with the characteristics of natural ecosystems, economic systems and complex networks. Hence, how to realize the multi-dimensional evaluation of service ecosystem is of great significance to promote its sound development. Based on this, this paper proposes a value entropy model to analyze the performance of service ecosystem, which is conducive to integrate evaluation indicators of different dimensions. In addition, a computational experiment system is constructed to verify the effectiveness of value entropy model. The result shows that our model can provide new means and ideas for the analysis of service ecosystem.
This paper approaches the topic of religious tourism among young people, starting from theoretical aspects in the literature and continuing with the presentation of the main results of an empirical study conducted among young people in Bucharest, Romania, aged between 15 and 19. Religious travel is one of the oldest types of tourism in the world (some authors even state it is the oldest). This has been a means for people to try and discover themselves and divinity as well as to validate their faith. Given that it has stood the test of time, religious travel has taken on a much more complex role within tourism, including other aspects such as, for instance, curiosity and the desire to learn about elements belonging to other cultures. The research is based upon the completion of a questionnaire in the period March-April 2019, whose findings were centralised and used with the aim of fulfilling three objectives: O1 - Establishing the youth’s perception of cultural and religious development and the role of religious travel; O2 - Identifying the respondents’ level of interest in cultural and religious sights; O3 - Obtaining information regarding the requirements for organizing and undertaking a cultural and religious journey. The findings confirm the fact that religion and its resources are sufficiently appealing to the majority of young people, and form part of the tourism they practice or of their sightseeing intentions.
Recreation leadership. Administration of recreation services, Business
Luiz Daniel Muniz Junqueira, Francisco Antônio dos Anjos, Maria Velasco Gonzalez
A Rede de Cidades Criativas da UNESCO tem como uma de suas premissas promover articulação entre atores das cidades membro. Nesse sentido, para uma cidade fazer parte da rede, é preciso promover articulações públicas e privadas por meio de ações político-institucionais. O objetivo desse artigo foi analisar a percepção do Grupo Gestor responsável pelo dossiê de Florianópolis como cidade criativa da UNESCO no campo da gastronomia no que diz respeito às relações político institucionais dos envolvidos no reconhecimento. Para a análise, considerou o compromisso público firmado pelos representantes da cidade com a UNESCO. O método de pesquisa adotado foi norteado pela abordagem qualitativa de caráter exploratório por meio da técnica bibliográfica, documental e de levantamento, realizando entrevistas abertas semiestruturadas com representantes do Grupo Gestor de Florianópolis/SC entre outubro e dezembro de 2017. Todas as entrevistas foram gravadas e realizadas pessoalmente, após confirmação por correio eletrônico. Como resultado, percebeu-se que, apesar do bom relacionamento entre as entidades que fazem parte do Grupo Gestor, a eficiência na execução das atividades para o cumprimento dos compromissos firmados com a UNESCO encontra algumas barreiras, principalmente no aspecto financeiro e no posicionamento das instituições envolvidas em assumir responsabilidades.
Geography. Anthropology. Recreation, Recreation leadership. Administration of recreation services