End-to-End Emulation of LoRaWAN Architecture and Infrastructure in Complex Smart City Scenarios Exploiting Containers.

In a LoRaWAN network, the backend is generally distributed as Software as a Service (SaaS) based on container technology, and recently, a containerized version of the LoRaWAN node stack is also available. Exploiting the disaggregation of LoRaWAN components, this paper focuses on the emulation of complex end-to-end architecture and infrastructures for smart city scenarios, leveraging on lightweight virtualization technology. The fundamental metrics to gain insights and evaluate the scaling complexity of the emulated scenario are defined. Then, the methodology is applied to use cases taken from a real LoRaWAN application in a smart city with hundreds of nodes. As a result, the proposed approach based on containers allows for the following: (i) deployments of functionalities on diverse distributed hosts; (ii) the use of the very same SW running on real nodes; (iii) the simple configuration and management of the emulation process; (iv) affordable costs. Both premise and cloud servers are considered as emulation platforms to evaluate the resource request and emulation cost of the proposed approach. For instance, emulating one hour of an entire LoRaWAN network with hundreds of nodes requires very affordable hardware that, if realized with a cloud-based computing platform, may cost less than USD 1.

A Signal-Processing-Based Simulation System for High-End Stereo Headsets.

In recent years, headphones have become increasingly popular worldwide. There are numerous models on the market today, varying in technical characteristics and offering different listening experiences. This article presents an application for simulating the sound response of specific headphone models by physically wearing others. In the future, for example, this application could help to guide people who already own a pair of headphones during the decision-making process of purchasing a new headphone model. However, the potential fields of application are much broader. An in-depth study of digital signal processing was carried out with the implementation of a computational model. Prior to this, an analysis was performed on impulse response measurements of specific headphones, which allowed for a better understanding of the behavior of each set of headphones. Finally, an evaluation of the entire system was conducted through a listening test. The analysis of the results showed that the software works reasonably well in replicating the target headphones. We hope that this work will stimulate further efforts in the same direction.

Modeling and Simulation of Shape Control Based on Digital Twin Technology in Hot Strip Rolling.

Focusing on the problem of strip shape quality control in the finishing process of hot rolling, a shape model based on metal flow and stress release with the application of varying contact rolling parameters is introduced. Combined with digital twin technology, the digital twin framework of the shape model is proposed, which realizes the deep integration between physical time-space and virtual time-space. With the utilization of the historical data, the parameters are optimized iteratively to complete the digital twin of the shape model. According to the schedule, the raw material information is taken as the input to obtain the simulation of the strip shape, which shows a variety of export shape conditions. The prediction absolute error of the crown and flatness are less than 5 µm and 5 I-unit, respectively. The results prove that the proposed shape simulation model with strong prediction performance can be effectively applied to hot rolling production. In addition, the proposed model provides operators with a reference for the parameter settings for actual production and promotes the intelligent application of a shape control strategy.

Estado inicial de la virtualización del proceso de formación en una Universidad

El desarrollo de las Tecnologías de la Información y las Comunicaciones (TIC) genera nuevas demandas sociales a la educación. En los últimos años, la utilización de elementos tecnológicos en los contextos educativos ha conllevado a la realización de profundas transformaciones en las instituciones y en la forma de organizar y trabajar el proceso docente educativo. El objetivo de este artículo fue analizar el estado inicial de la virtualización del proceso de formación en la Universidad de Ciencias de la Cultura Física y Deporte Manuel Fajardo. Para lograr este propósito se aplicó un conjunto de instrumentos (encuestas a estudiantes y profesores, entrevistas a directivos y guía de observación a los cursos implementados en la plataforma virtual Moodle). Se asumió un enfoque mixto que posibilitó buscar información sobre la virtualización del proceso de formación de la Universidad de Ciencias de la Cultura Física y el Deporte (UCCFD) Manuel Fajardo desde las miradas de los distintos actores del proceso, lo que permitió lograr una mayor fidelidad de los resultados obtenidos en los instrumentos aplicados. Los resultados de las encuestas a estudiantes y profesores fueron divididos en positivos y negativos (Carencias y Fortalezas), para destacar la necesidad de elaborar un modelo de virtualización del proceso de formación de la UCCFD "Manuel Fajardo".

O desenvolvimento das Tecnologias de Informação e Comunicação (TIC) gera novas demandas sociais para a educação. Nos últimos anos, o uso de elementos tecnológicos em contextos educacionais levou a profundas transformações nas instituições e na forma de organizar e trabalhar o processo de ensino e educação. O objetivo deste artigo foi analisar o estado inicial da virtualização do processo de treinamento na Universidade Manuel Fajardo de Cultura Física e Ciências do Esporte. Para atingir esse objetivo, foi aplicado um conjunto de instrumentos (pesquisas com alunos e professores, entrevistas com diretores e um guia de observação dos cursos implementados na plataforma virtual Moodle). Foi adotada uma abordagem mista, que possibilitou a busca de informações sobre a virtualização do processo de treinamento na Universidade de Ciências da Cultura Física e do Esporte Manuel Fajardo (UCCFD) a partir dos pontos de vista dos diferentes atores do processo, o que permitiu obter maior precisão nos resultados obtidos nos instrumentos aplicados. Os resultados das pesquisas com alunos e professores foram divididos em positivos e negativos (deficiências e pontos fortes), a fim de destacar a necessidade de desenvolver um modelo de virtualização para o processo de formação na UCCFD "Manuel Fajardo".

The development of Information and Communication Technologies (ICT) generates new social demands on education. In recent years, the use of technological elements in educational contexts has led to profound transformations in institutions and in the way of organizing and working the educational teaching process. The objective of this article was to analyze the initial state of the virtualization of the training process at the Manuel Fajardo University of Physical Culture and Sports Sciences. To achieve this purpose, a set of instruments was applied (surveys to students and teachers, interviews with managers and an observation guide to the courses implemented on the Moodle virtual platform). A mixed approach was assumed that made it possible to search for information on the virtualization of the training process of the "Manuel Fajardo" University of Physical Culture and Sports Sciences (UCCFD in Spanish) from the perspectives of the different actors in the process, which allowed achieving greater fidelity of the results obtained in the applied instruments. The results of the surveys to students and teachers were divided into positive and negative (Shortcomings and Strengths), to highlight the need to develop a virtualization model of the training process of the UCCFD "Manuel Fajardo".

Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks.

Virtualization is a core 5G network technology which helps telecom companies significantly reduce capital expenditure and operating expenses by deploying multiple services on the same hardware infrastructure. However, providing QoS-guaranteed services for multi-tenants poses a significant challenge due to multi-tenant service diversity. Network slicing has been proposed as a means of addressing this problem by isolating computing and communication resources for the different tenants of different services. However, optimizing the allocation of the network and computation resources across multiple network slices is a critical but extremely difficult problem. Accordingly, this study proposes two heuristic algorithms, namely Minimum Cost Resource Allocation (MCRA) and Fast Latency Decrease Resource Allocation (FLDRA), to perform dynamic path routing and resource allocation for multi-tenant network slices in a two-tier architecture. The simulation results show that both algorithms significantly outperform the Upper-tier First with Latency-bounded Overprovisioning Prevention (UFLOP) algorithm proposed in previous work. Furthermore, the MCRA algorithm achieves a higher resource utilization than the FLDRA algorithm.

Cooperative-Aware Radio Resource Allocation Scheme for 5G Network Slicing in Cloud Radio Access Networks.

The 5G network is designed to serve three main use cases: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable and low-latency communications (uRLLC). There are many new technological enablers, including the cloud radio access network (C-RAN) and network slicing, that can support 5G and meet its requirements. The C-RAN combines both network virtualization and based band unit (BBU) centralization. Using the network slicing concept, the C-RAN BBU pool can be virtually sliced into three different slices. 5G slices require a number of Quality of service (QoS) metrics, such as average response time and resource utilization. In order to enhance the C-RAN BBUs utilization while protecting the minimum QoS of the coexisting three slices, a priority-based resource allocation with queuing model is proposed. The uRLLC is given the highest priority, while eMBB has a higher priority than mMTC services. The proposed model allows the eMBB and mMTC to be queued and the interrupted mMTC to be restored in its queue to increase its chance to reattempt the service later. The proposed model's performance measures are defined and derived using a continuous-time Markov chain (CTMC) model and evaluated and compared using different methodologies. Based on the results, the proposed scheme can increase C-RAN resource utilization without degrading the QoS of the highest-priority uRLLC slice. Additionally, it can reduce the forced termination priority of the interrupted mMTC slice by allowing it to re-join its queue. Therefore, the comparison of the results shows that the proposed scheme outperforms the other states of the art in terms of improving the C-RAN utilization and enhancing the QoS of eMBB and mMTC slices without degrading the QoS of the highest priority use case.

On the Virtualization of Audio Transducers.

In audio transduction applications, virtualization can be defined as the task of digitally altering the acoustic behavior of an audio sensor or actuator with the aim of mimicking that of a target transducer. Recently, a digital signal preprocessing method for the virtualization of loudspeakers based on inverse equivalent circuit modeling has been proposed. The method applies Leuciuc's inversion theorem to obtain the inverse circuital model of the physical actuator, which is then exploited to impose a target behavior through the so called Direct-Inverse-Direct Chain. The inverse model is designed by properly augmenting the direct model with a theoretical two-port circuit element called nullor. Drawing on this promising results, in this manuscript, we aim at describing the virtualization task in a broader sense, including both actuator and sensor virtualizations. We provide ready-to-use schemes and block diagrams which apply to all the possible combinations of input and output variables. We then analyze and formalize different versions of the Direct-Inverse-Direct Chain describing how the method changes when applied to sensors and actuators. Finally, we provide examples of applications considering the virtualization of a capacitive microphone and a nonlinear compression driver.

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.

Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Moreover, NFV plays a crucial role in sensor and IoT networks by ensuring optimal resource usage and effective network management. However, adopting NFV in these networks also brings security challenges that must promptly and effectively address. This survey paper focuses on exploring the security challenges associated with NFV. It proposes the utilization of anomaly detection techniques as a means to mitigate the potential risks of cyber attacks. The research evaluates the strengths and weaknesses of various machine learning-based algorithms for detecting network-based anomalies in NFV networks. By providing insights into the most efficient algorithm for timely and effective anomaly detection in NFV networks, this study aims to assist network administrators and security professionals in enhancing the security of NFV deployments, thus safeguarding the integrity and performance of sensors and IoT systems.

Percepción de la Virtualización de la Asignatura de Anatomía Humana Normal y Embriología en Pandemia / Perception of the Virtualization of the Subject of Normal Human Anatomy and Embriology in a Pandemic

Debido a la pandemia y las restricciones en cuanto a la presencialidad, diferentes metodologías de aprendizaje debieron ser exploradas e implementadas para virtualizar los contenidos en la asignatura de Anatomía. El objetivo de este trabajo fue evaluar la percepción de los docentes y alumnos con respecto a las metodologías utilizadas en la virtualización de dicha asignatura. Estudio observacional- descriptivo, con enfoque cuantitativo. La población de estudio correspondió a una muestra por conveniencia constituida por 57 alumnos y 4 docentes pertenecientes a la asignatura de Anatomía Humana Normal y Embriología de la carrera de Odontología, Universidad Andrés Bello, sede Viña del Mar, dictada el año 2021. Dichos participantes contestaron un cuestionario validado que contemplaba preguntas cerradas con escala de Likert de 5 niveles, considerando las dimensiones de aprendizaje, motivación y rendimiento, y preguntas de calificación para conocer la percepción sobre las estrategias y recursos utilizados. Los alumnos perciben positivamente todos los recursos digitales, destacando el Manual de Anatomía Humana Normal, siendo el aprendizaje, la dimensión mejor evaluada. La estrategia activa mejor percibida en cuanto a las 3 dimensiones corresponde a método de casos. Por el contrario, las clases invertidas fueron percibidas negativamente en todas las dimensiones. En relación a los docentes, el recurso digital mejor percibido fue videos y cápsulas, destacando la dimensión motivación. Las estrategias activas mejor evaluadas fueron método de casos y clases invertidas. Pese a haber una percepción positiva con respecto a la virtualización, no hay concordancia entre las estrategias activas y recursos digitales mejor evaluados entre docentes y alumnos.

SUMMARY: As a result of the pandemic and the restrictions regarding in person attendance, different learning methodologies had to be explored and implemented to virtualize the contents in the Anatomy subject. The objective of this study was to evaluate the perception of teachers and students regarding the methodologies used in the virtualization of this subject. An observational-descriptive study with a quantitative approach was carried out. The study population was a convenience sample made up of 57 students and 4 teachers of the Normal Human Anatomy and Embryology subject of the Dentistry degree, Universidad Andrés Bello, Viña del Mar campus during 2021. These participants answered a validated questionnaire that included closed questions with a 5-level Likert scale, considering learning dimensions, motivation and performance, and qualifying questions to find out the perception of the strategies and resources used. Students positively perceive all digital resources, highlighting the Normal Human Anatomy Manual, with learning being the best evaluated dimension. The best perceived active strategy in terms of the 3 dimensions corresponds to the case method. In contrast, the inverted classes were perceived negatively in all dimensions. In relation to teachers, the best perceived digital resource was videos and capsules, highlighting the motivation dimension. The best evaluated active strategies were the case method and inverted classes. Despite having a positive perception regarding virtualization, there is no agreement between the best evaluated active strategies and digital resources among teachers and students.

Visualization in Anatomy Education.

In the post-pandemic era, one of the significant challenges for anatomy teachers is to reciprocate the experience of practical exposure while teaching the subject to undergraduates. These challenges span from conducting cadaveric dissections to handling real human bones, museum specimens, and tissue sections in the histology lab. Such exposures help the instructors to develop interactive communication with their fellow students and thus help to enhance communication skills among them. Recently, anatomy teachers all over the world started using cutting-edge educational technologies to make teaching-learning experiences for students more engaging, interesting, and interactive. Utilizing such cutting-edge educational technologies was an "option" prior to the pandemic, but the pandemic has significantly altered the situation. What was previously an "option" is now a "compulsion." Despite the fact that the majority of medical schools have resumed their regular on-campus classes, body donation and the availability of cadavers remain extremely limited, resulting in a deadlock. Anatomy teachers must incorporate cutting-edge educational technologies into their teaching and learning activities to make the subject more visual. In this chapter, we have attempted to discuss various new technologies which can provide a near-realistic perception of anatomical structures as a complementary tool for dissection/cadaver, various visualization techniques currently available and explore their importance as a pedagogic alternative in learning anatomy. We also discussed the recent advancement in visualization techniques and the pros and cons of technology-based visualization. This chapter identifies the limitations of technology-based visualization as a supplement and discusses effective utilization as an adjunct to the conventional pedagogical approaches to undergraduate anatomy education.

Research on Security Weakness Using Penetration Testing in a Distributed Firewall.

The growing number of cyber-crimes is affecting all industries worldwide, as there is no business or industry that has maximum protection in this domain. This problem can produce minimal damage if an organization has information security audits periodically. The process of an audit includes several steps, such as penetration testing, vulnerability scans, and network assessments. After the audit is conducted, a report that contains the vulnerabilities is generated to help the organization to understand the current situation from this perspective. Risk exposure should be as low as possible because in cases of an attack, the entire business is damaged. In this article, we present the process of an in-depth security audit on a distributed firewall, with different approaches for the best results. The research of our distributed firewall involves the detection and remediation of system vulnerabilities by various means. In our research, we aim to solve the weaknesses that have not been solved to date. The feedback of our study is revealed with the help of a risk report in the scope of providing a top-level view of the security of a distributed firewall. To provide a high security level for the distributed firewall, we will address the security flaws uncovered in firewalls as part of our research.

What is holding back business process virtualization in the post-COVID-19 era? Based on process virtualization theory (PVT).

The post-pandemic COVID-19 has been influential in accelerating the digital transformation of enterprises and business process virtualization. However, in a virtual working environment with no physical interaction, the psychological requirements of the communication between teleworkers and the negative impact of information systems are hindering the business process virtualization. Studying the relationship between the interaction between organizational members and job performance is an important part of organizational psychology. For an enterprise to maintain high-efficiency output, it is necessary to study psychological factors related to business process virtualization. This paper verified the factors hindering business process virtualization based on process virtualization theory (PVT). The research was implemented on a sample of 343 teleworkers in China enterprises. The structure of the model of this study includes two aspects that hinder the business process virtualization: the psychological requirements of teleworkers (Sensory requirements, Synchronism requirements, and Relationship requirements) and the negative effects of information systems (Information overload and Communication overload). The results show that teleworkers' sensory requirements, synchronism requirements, and communication overload negatively impact business process virtualization. However, unlike the results in the existing literature, the relationship requirements and information overload do not affect the business process virtualization. The results will help business managers, teleworkers, and information system developers develop strategies to address the negative factors hindering business process virtualization. In the so-called new "normal era," our research will help companies to create a successful virtual work environment.

Dynamic Service Function Chain Deployment and Readjustment Method Based on Deep Reinforcement Learning.

With the advent of Software Defined Network (SDN) and Network Functions Virtualization (NFV), network operators can offer Service Function Chain (SFC) flexibly to accommodate the diverse network function (NF) requirements of their users. However, deploying SFCs efficiently on the underlying network in response to dynamic SFC requests poses significant challenges and complexities. This paper proposes a dynamic SFC deployment and readjustment method based on deep Q network (DQN) and M Shortest Path Algorithm (MQDR) to address this problem. We develop a model of the dynamic deployment and readjustment of the SFC problem on the basis of the NFV/SFC network to maximize the request acceptance rate. We transform the problem into a Markov Decision Process (MDP) and further apply Reinforcement Learning (RL) to achieve this goal. In our proposed method (MQDR), we employ two agents that dynamically deploy and readjust SFCs collaboratively to enhance the service request acceptance rate. We reduce the action space for dynamic deployment by applying the M Shortest Path Algorithm (MSPA) and decrease the action space for readjustment from two dimensions to one. By reducing the action space, we decrease the training difficulty and improve the actual training effect of our proposed algorithm. The simulation experiments show that MDQR improves the request acceptance rate by approximately 25% compared with the original DQN algorithm and 9.3% compared with the Load Balancing Shortest Path (LBSP) algorithm.

Guía para la implementación de cursos en red / A guide for the implementation of network resources

Introducción: Los cambios en la educación médica superior, provocados por la pandemia del virus SARS-CoV-2, impulsaron la integración de las tecnologías de la información y la comunicación a la docencia en Cuba y el mundo. La Universidad Virtual de Salud se convirtió en un medio importante para apoyar los procesos docente-educativos, por lo que los profesores tuvieron que afrontar el reto de virtualizar sus actividades formativas. Objetivo: Validar una guía para el diseño y montaje de entornos virtuales de enseñanza aprendizaje en la educación médica de pregrado y posgrado. Métodos: Se realizó una investigación de tipo innovación tecnológica en tres etapas: diseño de la guía, implementación y validación. Se aplicó una encuesta a los participantes del entrenamiento virtual en Entornos Virtuales de Enseñanza Aprendizaje. Resultados: Se propusieron seis pasos para el diseño y la implementación de procesos formativos mediante la virtualidad: análisis de los recursos y la factibilidad; diseño del curso o adaptación de un programa existente; producción de contenidos; subida de recursos y configuración de las actividades; acción formativa; y evaluación del curso, mejora y rediseño. Conclusiones: La integración de la tecnología a la docencia en la educación superior es una realidad impulsada por la situación epidemiológica, que se seguirá desarrollando hasta que forme parte de la labor habitual del docente. Esta guía sistematiza y simplifica las acciones para facilitar el proceso inicial de virtualización. Se propone un modelo flexible y escalable para mejorar continuamente la calidad del proceso docente educativo en entornos virtuales de enseñanza aprendizaje(AU)

Introduction: Changes in higher medical education, caused by the SARS-CoV-2 virus pandemic, prompted the integration of information and communication technologies to teaching in Cuba and the world. The virtual university of health became an important means to support the teaching-educational processes; therefore, professors had to face the challenge of virtualizing their training activities. Objective: To validate a guide for designing and assembling virtual teaching-learning environments in undergraduate and postgraduate medical education. Methods: A technological innovation research was carried out in three stages: design of the guide, implementation and validation. A survey was conducted to the participants of the virtual training in virtual teaching-learning environments. Results: Six steps were proposed for the design and implementation of training processes through the virtual modality: analysis of resources and feasibility; course design or adaptation of an existing program; content production; resource uploading and activity configuration; training action; and course assessment, improvement and redesign. Conclusions: The integration of technology to higher education teaching is a reality driven by the epidemiological situation, which will continue to develop until it becomes part of the professor's regular work. This guide systematizes and simplifies actions to facilitate the initial virtualization process. A flexible and scalable model is proposed to improve continuously the quality of the educational teaching process in virtual teaching-learning environments(AU)

NetAP-ML: Machine Learning-Assisted Adaptive Polling Technique for Virtualized IoT Devices.

To maximize the performance of IoT devices in edge computing, an adaptive polling technique that efficiently and accurately searches for the workload-optimized polling interval is required. In this paper, we propose NetAP-ML, which utilizes a machine learning technique to shrink the search space for finding an optimal polling interval. NetAP-ML is able to minimize the performance degradation in the search process and find a more accurate polling interval with the random forest regression algorithm. We implement and evaluate NetAP-ML in a Linux system. Our experimental setup consists of a various number of virtual machines (2-4) and threads (1-5). We demonstrate that NetAP-ML provides up to 23% higher bandwidth than the state-of-the-art technique.

Community-wide collaboration is a must to reinstall trust in bioinformatics solutions and biomedical interpretation.

Science has become a highly competitive undertaking concerning, for example, resources, positions, students, and publications. At the same time, the number of journals presenting scientific findings skyrockets while the knowledge increase per manuscript seems to be diminishing. Science has also become ever more dependent on computational analyses. For example, virtually all biomedical applications involve computational data analysis. The science community develops many computational tools, and there are numerous alternatives for many computational tasks. The same is true for workflow management systems, leading to a tremendous duplication of efforts. Software quality is often of low concern, and typically, a small dataset is used as a proof of principle to support rapid publication. Installation and usage of such tools are complicated, so virtual machine images, containers, and package managers are employed more frequently. These simplify installation and ease of use but do not solve the software quality issue and duplication of effort. We believe that a community-wide collaboration is needed to (a) ensure software quality, (b) increase reuse of code, (c) force proper software review, (c) increase testing, and (d) make interoperability more seamless. Such a science software ecosystem will overcome current issues and increase trust in current data analyses.

A Prospective Observational Study on the Structuring Process and Implementation of a Large Regional, Inter-hospital, Virtual Multidisciplinary Tumor Board on Prostate Cancer.

BACKGROUND/AIM: At present, multidisciplinary tumor boards (MDTB) are considered best practice in oncology. However, web-based virtualization of MDTB may increase participation in meetings, the number of cases discussed, and adherence to guidelines, deliver better treatment, and eventually improve outcomes for patients with prostate cancer. PATIENTS AND METHODS: This is an observational study focused on exploring the structuring process and implementing a multi-institutional virtual MDTB in Sicily, Italy. Other endpoints included the analysis of cooperation between participants, adherence to guidelines, patient outcomes, and patient satisfaction. RESULTS: Overall, 126 patients were referred to the virtual MDTB for a total of 302 cases discussed in an 18-month period. Nearly 45% of cases were referred from general hospitals or tertiary centers, 38% from comprehensive cancer centers, and only 17% from academic ones. Most health professional participants (95%) reported eliminating geographical barriers and consequently reducing costs and saving time as key advantages of virtual meetings over face-to-face ones. Using a specifically designed platform for virtual MDTBs was another excellent point, especially to geolocate clinical trials and time-lapse data storage. The majority of referred patients had stage T 3-4 prostate cancer (79%). Overall, 71% of proposals discussed were approved unchanged, while 19% changed after the virtual MDTB discussion. Debated points were mostly radiologic, surgical, medical, or radiation treatment-related issues. In particular, the prescriptive appropriateness of positron emission tomography with 68Ga-prostatic specific membrane antigen, newer drugs, radiation versus surgical approach, stage T3-4 cases, and adjuvant therapy represented the most debated issues. The proposed diagnostic and/or therapeutic options were controlled for adherence to the guidelines and/or updated scientific evidence. Overall, 98% of approved proposals and changes were in line with the guidelines. Overall, most participants felt virtual MDTB was very useful and case discussions led to a major change of strategy in 19% of cases. CONCLUSION: Virtual MDTBs are a very useful way to achieve best management of prostate cancer while saving time and fostering cooperation.

The Influence of Dental Virtualization, Restoration Types, and Placement Angles on the Trueness and Contact Space in 3D-Printed Crowns: A Comprehensive Exploration.

The current digital dentistry workflow has streamlined dental restoration production, but the effectiveness of digital virtual design and 3D printing for restorations still needs evaluation. This study explores the impact of model-free digital design and 3D-printing placement angles on restorations, including single crowns and long bridges produced with and without casts. The restorations are 3D printed using resin at placement angles of 0°, 60°, and 90°. Each group of samples was replicated ten times, resulting in a total of 120 restorations. The Root Mean Square Error (RMSE) value was used to evaluate the surface integrity of the restoration. In addition, the contact space, edge gap, and occlusal space of restorations produced by different processes were recorded. The results indicate that there was no significant difference in the RMSE value of the crown group (p > 0.05). Changing the bridge restoration angle from 0° to 90° resulted in RMSE values increasing by 2.02 times (without casts) and 2.39 times (with casts). Furthermore, the marginal gaps in the crown group were all less than 60 µm, indicating good adaptation. In contrast, the bridge group showed a significant increase in marginal gaps at higher placement angles (p > 0.05). Based on the findings, virtual fabrication without casts does not compromise the accuracy of dental restorations. When the position of the long bridge exceeds 60 degrees, the error will increase. Therefore, designs without casts and parallel placement result in higher accuracy for dental restorations.

Moving-Target Defense in Depth: Pervasive Self- and Situation-Aware VM Mobilization across Federated Clouds in Presence of Active Attacks.

Federated clouds are interconnected cooperative cloud infrastructures offering vast hosting capabilities, smooth workload migration and enhanced reliability. However, recent devastating attacks on such clouds have shown that such features come with serious security challenges. The oblivious heterogeneous construction, management, and policies employed in federated clouds open the door for attackers to induce conflicts to facilitate pervasive coordinated attacks. In this paper, we present a novel proactive defense that aims to increase attacker uncertainty and complicate target tracking, a critical step for successful coordinated attacks. The presented systemic approach acts as a VM management platform with an intrinsic multidimensional hierarchical attack representation model (HARM) guiding a dynamic, self and situation-aware VM live-migration for moving-target defense (MtD). The proposed system managed to achieve the proposed goals in a resource-, energy-, and cost-efficient manner.

Framework for Efficient Auto-Scaling of Virtual Network Functions in a Cloud Environment.

Network Function Virtualization (NFV) offers an alternate method to design, deploy and manage network services. The NFV decouples network functions from the dedicated hardware and moves them to the virtual servers so that they can run in the software. One of the major strengths of the NFV is its ability to dynamically extend or reduce resources allocated to Virtual Network Functions (VNF) as needed and at run-time. There is a need for a comprehensive metering component in the cloud to store and process the metrics/samples for efficient auto-scaling or load-management of the VNF. In this paper, we propose an integrating framework for efficient auto-scaling of VNF using Gnocchi; a time-series database that is integrated within the framework to store, handle and index the time-series data. The objective of this study is to validate the efficacy of employing Gnocchi for auto-scaling of VNF, in terms of aggregated data points, database size, data recovery speed, and memory consumption. The employed methodology is to perform a detailed empirical analysis of the proposed framework by deploying a fully functional cloud to implement NFV architecture using several OpenStack components including Gnocchi. Our results show a significant improvement over the legacy Ceilometer configuration in terms of lower metering storage size, less memory utilization in processing and management of metrics, and reduced time delay in retrieving the monitoring data to evaluate alarms for the auto-scaling of VNF.