Virtual Resources Research Articles

Expanding technological horizons from the implementation of an ecosystem of virtual learning resources for university students

Expanding technological horizons from the implementation of an ecosystem of virtual learning resources for university students

Differentially private and truthful auction-based resource procurement for budget-constrained DAG applications in clouds

With the rapid proliferation of emerging scientific computing, more and more cloud users (CUs) with large-scale applications are seeking efficient executing paradigms in clouds. Following this trend, a cloud market with multiple cloud service providers (CSPs) is emerging, which aims to provide efficient cross-cloud services to CUs through the cooperation among CSPs. In the market, CUs can procure different virtual machine resources and their combinations from one or more CSP(s) in a pay-as-you-go way. In such a procurement process, it is challenging to achieve privacy protection and truthfulness of CSPs while enabling flexible resource combinations. As such, we design a differentially private and truthful auction-based resource procurement mechanism (DTARP) in clouds. Specifically, we first propose a budget-aware resource profile determination algorithm (BRPD) to obtain a set of resource profiles, in order to bridge the difference between application tasks and resources under the budget constraint. Next, we design a differential privacy-based winning CSP selection algorithm to choose a set of winning CSPs, and the payment calculation algorithm to calculate the payment for each winning CSP. Strict theoretical analysis proves that the proposed DTARP achieves differential privacy, truthfulness, individual rationality, computational efficiency, and approximate social cost minimization while guaranteeing the efficient completion of application tasks under the budget. Extensive simulation results also demonstrate the effectiveness of the proposed DTARP.

Accelerator: an intent-based intelligent resource-slicing scheme for SFC-based 6G application execution over SDN- and NFV-empowered zero-touch network

Zero-touch networks (ZTNs) can provide autonomous network solutions by integrating software-based solutions for various emerging 5G and 6G applications. The current literature does not provide any suitable end-to-end network management and resource-slicing solutions for service function chaining (SFC) and user intent–based (time and cost preference) 6G/non-6G application execution over ZTNs enabled by mobile edge computing, network function virtualization, and software-defined networking. To tackle these challenges, this work initiates an end-to-end network management and user intent–aware intelligent network resource–slicing scheme for SFC-based 6G/non-6G application execution over ZTNs, taking into account various virtual and physical resources, task workloads, service requirements, and task numbers. The results depicted that at least 25.27% average task implementation delay gain, 6.15% energy gain, and 11.52% service monetary gain are realized in the proposed scheme over the compared schemes.

9NFTMANIA: Catalyzing Innovation and Community in NFT Culture and the Metaverse

9NFTMANIA is a pivotal platform in the enhancement of NFT culture, providing a comprehensive ecosystem for artists and collectors. It promotes digital art through global exposure and community engagement, offering virtual galleries, auctions, and educational resources. The platform supports financial growth for artists by facilitating direct sales and enabling royalties from secondary transactions. Additionally, 9NFTMANIA integrates NFTs into broader digital economies, including gaming and virtual real estate, contributing to their wider acceptance and utility. Through these initiatives, 9NFTMANIA fosters a vibrant, accessible, and profitable NFT culture, significantly advancing the digital art landscape.

Evaluating Virtual Simulation to Augment Undergraduate Nurses' Clinical Practice.

Due to the lack of clinical placements during the pandemic, virtual simulation was used to augment student practice experiences. Using Kirkpatrick's evaluation model, a program evaluation study using a mixed-methods design was implemented to assess student and faculty satisfaction and usefulness of virtual simulation, the effectiveness of meeting learning needs, and the effects of the virtual simulation resource on the development of clinical judgment (n = 70). Virtual simulation was rated as moderately useful with an overall mean of 1.7 (SD = 0.66, range 1 to 3). Only 21% to 49% of the students found online simulation either met or well met the various areas of learning needs. Qualitative data highlighted the benefits of this strategy as well as implementation factors that affected students' experience. Virtual simulation can be used in clinical courses to augment learning when implemented in a way that addresses students' needs. [J Nurs Educ. 2024;63(7):470-477.].

Automating cloud virtual machines allocation via machine learning

Automating cloud virtual machines allocation via machine learning

Clusterslice: Slicing resources for zero-touch Kubernetes-based experimentation

ClusterSlice is an open-source solution for automated Kubernetes-centered experimentation. It introduces well-designed abstractions that reduce experimentation complexity with improved reliability and reproducibility. Its main capabilities are: (i) automated declarative operation, e.g., through declarative specifications of experimentation slices; (ii) infrastructure-as-a-service (i.e., the utilization of heterogeneous physical and virtual resources), platform-as-a-service (e.g., multiple composable Kubernetes flavors and network plugins), and application-as-a-service (e.g., plug-and-play application features) capabilities; (iii) multi-cluster and multi-domain support, i.e., inter-cluster operation over multiple open testbeds, virtualization systems and domains; and (iv) experimentation automation, e.g., support of automated experiments of various research topics, including network plugin performance assessments and anomaly detection workflows. Here, we provide the basic architectural attributes of ClusterSlice and proof-of-concept results highlighting its above capabilities.

How does virtual water influence the water stress pattern in Africa? A research perspective from the perspectives of production and trade

Northern Africa has become the first region in the world to exhaust its water resources, with a 40 % decrease in per capita water availability south of the Sahara over the past decade. While adjusting production structures and consumption can regulate the supply-demand dynamics of water resources, the extent of the impact of virtual water-induced pressure on both the regional and national levels in Africa remains largely understudied. Applying the standard Penman formula, this research calculates the water footprint of eight cereal crops in 54 African countries from 1990 to 2021. By integrating corresponding data on cereal trade, the study analyzes changes in virtual water stress. The findings indicate a decline in the per-unit production and consumption water footprints for African cereals. However, the continuous expansion of cultivation areas contributes to a rising water stress. In comparison to 1990, the water stress for soybeans, sorghum, rice, maize, and cassava increased by 149.72 %, 146.88 %, 133.89 %, 123.30 %, and 90.8 %, respectively, in 2021. Only barley showed a reduction in water stress by 23.22 %. The study underscores the growing interconnectedness of virtual water trade (VWT) among African nations from 1990 to 2021, leading to a more balanced trade distribution. VWT has reduced water stress by 7.65 %, 2.08 %, and 1.8 % in Western, Central, and Northern Africa, respectively, while increasing pressure in Southern and Eastern Africa by 10.51 % and 1.01 %. The flow of virtual water in Africa is most influenced by spatial proximity, primarily occurring between adjacent countries or regions. Forecasts for water stress under the five scenarios of SSPs-RCP8.5 have been conducted, revealing a continuous increase in water stress across Africa. Furthermore, analysis of the SSP2-RCP8.5 scenario indicates that by 2030 and 2040, African cereal crops are projected to face virtual water resource stress increases of 7 % and 18.76 %, respectively, compared to 2020 levels. During the same period, Sierra Leone is anticipated to experience a growth rate in virtual water stress of approximately 1903.38 %. Consequently, altering crop cultivation structures and enhancing VWT are poised to alleviate water resource pressure, promoting the scientific management of agricultural water resources in Africa.

Technology park possibilities in implementing the system of digital civil and patriotic education at the university

Introduction. Trends in digitalization and convergence in education, the introduction of distance learning technologies affect both the education system and the educational process as its significant component. Traditional forms and methods of educational work, which were effective with previous generations of students, show low results with generation “Z”. In this regard, digital means of education, implemented within the framework of a digital educational system, become relevant, which would allow students to move from the position of an observer to the state of an active participant in the educational process. The development of a system of civic-patriotic education is becoming the most relevant and in demand in the university environment.Materials and Methods. The research was carried out by analyzing scientific literature on the research problem, analyzing regulatory sources, summarizing our own practical experience on the problems of digital technologies for civic and patriotic education of youth.Results. The article presents a description of the system of digital civic-patriotic education being developed at the South Ural State Humanitarian Pedagogical University. The developed system of digital civic-patriotic education will be implemented on the basis of the university website, taking into account the capabilities of the technology park of universal pedagogical competencies. The offices created in the technology park provide an opportunity for the implementation of various civil-patriotic activities.Discussion and Conclusions. Currently, there is an urgent need in universities to conceptually substantiate and develop a digital education system that would contribute to the activation and interest of students in the process of education and self-education. The system of civic-patriotic education will be implemented taking into account the capabilities of the technology park equipment: VR technologies, robotics, 3D modeling, etc. The developed system of digital civicpatriotic education includes such digital educational technologies as: virtual excursions, video resources, social and civic-oriented projects, web quests, cultural and historical Internet portals, etc.

Wireless sensor network security management based on virtual resource scheduling model

ABSTRACT For lofting the performance of wireless sensor networks, a lightweight gradient elevator algorithm model is improved using a virtual resource scheduling model and sparrow search algorithm particle swarm optimization algorithm. A new network intrusion detection method (SSAPSO-LightGBM) has been proposed to improve detection accuracy and efficiency. Then, the data security transmission level and user historical priority resource scheduling model (SDT-HRU-VRSM) are used to schedule resources to ensure network resource revenue. The results show that the SSAPSO LightGBM algorithm has a detection accuracy of 99.61% for Normal, 98.42% for R2L, 97.03% for U2R, 96.01% for Probe, and 98.41% for DoS. The SDT-HRU-VRSM model not only meets the needs of secure data transmission, but also takes into account the stickiness of increasing high-quality users. And according to security requirements, the number of virtual resource scheduling is increased, reducing the number of service network slicing instances and improving security. This model can effectively increase the attack cost of malicious users and increase network revenue, which is crucial for ensuring the security and efficient operation of wireless sensor networks.

Improved optimization algorithm for resource management in cloud applications with performance monitor of VM provisioning, placement and recycling

The machine learning technique has been used to increase cloud management’s intelligence. Effective resource provisioning also preserves the environment. Manual cloud management has some difficult problems, such as complexity in cloud systems and scale issues. Hence, this paper introduces a new task for managing the resources in the cloud using deep learning. The aim is to predict the overall workload and server status prediction to the cloud resource management. Initially, performance monitoring is performed to keep aware of the performance of the application and guarantee the cloud application’s performance. In the suggested work, the required data is collected for the resource utilization on multiple Virtual Machine (VM) metrics. The VM provisioning is performed next to rectify the issues of resource provisioning. After that, the workload and server status prediction is conducted, where the Weighted Recurrent Neural Network (W-RNN) is adopted. After attaining the predicted workload, the VM placement module is carried out. Here, the virtual resource’s quantity is attained. Moreover, the multi-objective functions like resource utilization; cost, energy, time, and Quality of Service (QoS) are derived in this phase with the help of the Improved Rain Optimization Algorithm (IROA). Subsequently, the VM recycling is performed in the suggested work. Here, a resource collector is given for the virtual resources recycling task. It scans the applications of the cloud in the data centre and processes the VM recycling for every application. While considering the statistical analysis of the IROA-W-RNN-based resource management system achieved a mean of 56.27% than JAYA-W-RNN, 21.09% than SCO-W-RNN, 60.2% than MFOA-W-RNN, and 16.74% than DA-W-RNN for configuration 4. Finally, the numerical analysis is conducted to validate the presented resource management task with the aid of various conventional tasks.

Research on the Application of Resource Virtualization Management Soft for Spaceborne Edge Computing Node

Due to the characteristics of multiple nodes, large load differences, and unbalanced network computing resource distribution, this paper explores efficient cloud technology for heterogeneous node resources, such as CPUs and GPUs, in spaceborne distributed edge nodes. A virtual resource pool with low overhead and real-time reconstruction is constructed to enable the unified encapsulation and management of on-orbit edge computing resources. This approach provides fine-grained supply of computing, storage, network, and other multi-dimensional resources, as well as an efficient cloud-edge collaboration mechanism. At the same time, based on the spaceborne edge AI computing platform, we carried out the application research and integration demonstration of the resource virtualization management soft of the spaceborne edge computing node. Through the design and research of the spaceborne edge computing node resource virtualization management system, the application of deployment of the system software on high-performance edge computing nodes is completed, and the ground simulation system is established to complete the design and implementation of integrated verification. In order to solve the problem of limited resource construction, this article provides a feasible technical approach for resource virtualization management of spaceborne edge nodes and cloud-edge collaboration.

Research on Virtual Simulation Experiment Teaching of Scraper Conveyor Condition Monitoring and Fault Diagnosis

The scraper conveyor status monitoring and fault diagnosis virtual simulation experiment system is designed and developed based on the operating environment of the scraper conveyor in the fully mechanized mining face. Using augmented virtual reality teaching resources, through immersive display and interactive operation experiments, students are guided on basis of scraper conveyor mechanical cognition, master the virtual teaching experiment of state monitoring and fault diagnosis such as broken chain monitoring, motor fault classification and identification, reducer compound fault separation, etc. The teaching practice shows that the system can overcome the harsh production environment in coal mines and the risk factors caused by equipment failure, improve students' understanding of the mechanical fault diagnosis technology, and mobilize students' enthusiasm for experiments and initiative to enhance students' innovative ability.

Development and Validation of Cloud Applications Usability Development Scale

Cloud computing has revolutionized technology and education by providing scalable virtual resources accessible via the internet. This study emphasizes the importance of usability in cloud services, discussing various scales and metrics while highlighting their strengths and weaknesses. It underscores the necessity for a comprehensive usability scale that integrates both subjective and objective measures to suit diverse user scenarios and populations. The article introduces the Cloud Applications/Services Usability Development Scale, comprising five usability dimensions: Capable, Personal, Reliable, Valuable, and Secure. To validate the instrument, factor analysis was performed on 28 items for each construct, utilizing Principal Component Analysis and Varimax Rotation. The Kaiser-Meyer-Olkin (KMO) and Bartlett’s Test were applied to assess sampling adequacy. Construct validity and reliability were scrutinized using AMOS 21, a statistical analysis software for structural equation modeling (SEM). A confirmation factor analysis was employed to assess both converging and discriminating validity. A survey conducted among actual cloud application users, specifically Google Drive users in Lahore’s public libraries, demonstrated the strong construct validity and reliability of the developed instrument. The Cloud Applications/Services Usability Development Scale proved effective in evaluating the usability of cloud-based applications. This study not only contributes valuable insights to the development and validation of usability measurement tools for cloud applications but also addresses a significant gap in local and international literature. Furthermore, it serves as a model for creating and validating measurement tools for cloud services, offering practical implications for usability testing and methodological advancements in the field of cloud computing.

Experimental Virtual Distillation of Entanglement and Coherence.

Noise is, in general, inevitable and detrimental to practical and useful quantum communication and computation. Under the resource theory framework, resource distillation serves as a generic tool to overcome the effect of noise. Yet, conventional resource distillation protocols generally require operations on multiple copies of resource states, and strong limitations exist that restrict their practical utilities. Recently, by relaxing the setting of resource distillation to only approximating the measurement statistics instead of the quantum state, a resource-frugal protocol, "virtual resource distillation," is proposed, which allows more effective distillation of noisy resources. Here, we report its experimental implementation on a photonic quantum system for the distillation of quantum coherence (up to dimension four) and bipartite entanglement. We show the virtual distillation of the maximal superposed state of dimension four from the state of dimension two, an impossible task in conventional coherence distillation. Furthermore, we demonstrate the virtual distillation of entanglement with operations acting only on a single copy of the noisy Einstein-Podolsky-Rosen (EPR) pair and showcase the quantum teleportation task using the virtually distilled EPR pair with a significantly improved fidelity of the teleported state. These results illustrate the feasibility of the virtual resource distillation method and pave the way for accurate manipulation of quantum resources with noisy quantum hardware.

Leveraging digital assets: lessons from a 14-year-old isotope tracer course for professional scientists.

The COVID-19 pandemic and subsequent policies (e.g., social distancing, travel restrictions) challenged both organizers for and attendees of programs typically held in person. Many scientific training programs quickly adapted to virtual formats by incorporating digital assets developed for virtual learning and remote social engagement. At the outset, the value of continuing digital elements with future in-person events was unclear. To examine how virtual resources supported heterogeneous professional training programs, we reviewed survey data for a 14-year-old training program for scientific professionals titled "Isotope Tracers in Metabolic Research: Principles and Practice of Kinetic Analysis." We found a positive relationship between survey satisfaction and the postpandemic in-person program that included digital assets held in 2022 compared to prepandemic in-person programs. To better understand the postpandemic program satisfaction, we assessed the 2021 virtual course format and survey data. We found that although there was a desire to return to in-person programs, the digital assets and approaches were valued. In examining the individual programmatic elements in the 2022 in-person course, there was better "value and understandability" of lectures over previous in-person years. These findings highlight how incorporating new digital engagement strategies for professional development benefits even the most established programs in supporting heterogeneous learners.NEW & NOTEWORTHY We examined impact of leveraging digital assets to support virtual engagement for an in-person program. Using survey data of a 14-year-old program for scientific professionals, we compared pre- and postpandemic in-person programs. Through incorporating digital assets, we found increased survey satisfaction compared to prepandemic in-person programs. These findings highlight how incorporating new digital engagement strategies benefits even the most successful professional development programs.

Interactive AI Virtual Teaching Resource Intelligent Recommendation Algorithm Based on Similarity Measurement on the Internet of Things Platform

Abstract To tackle the issues of low recommender system correctness and the long time of recommendation in the traditional intelligent recommendation algorithm of interactive artificial intelligence (AI) virtual teaching resources, a similarity measurement-based intelligent recommendation algorithm of interactive AI virtual teaching resources is proposed. According to the contact frequency of adjacent learners, the behavior patterns of learners are mined, and the user characteristics are selected on the basis of the mutual information feature selection method. In the context of the category attribute matrix and learner category attribute scoring matrix of interactive AI virtual teaching resources, the user interest matrix is constructed by the Relevance Feedback based on Inverse Learning Function (RF-ILF) method. The user similarity is calculated and the neighbor set is found in the similar user clusters after clustering. According to the results of the simulation, the suggested algorithm is more efficient and provides more accurate recommendations when recommending interactive AI virtual teaching resources.

Introduction to Cyber Security

In today’s world driven by technology and network connectivity, it’s important to know what cyber security is and be able to implement it effectively. Without a safeguard to protect it, systems, sensitive files, data, and other critical virtual resources are at risk. Whether it is IT company or not, every company deserves equal protection. With modern technologies being developed in cybersecurity, attackers are not falling behind in the same way. They follow and enhance the best hacking techniques and target the weakness of many businesses out there. Cyber security is important because military, government, finance, medical, corporate organizations, and more like these organizations store and process their data on systems or PCs. Significant amounts of data can have sensitive information, financial information, intellectual property, personal information, and other kind of data for which an unknown access can cause various concerns. Knowledge of cyber security should be must at least for those who works for these kinds of firms to protect their data from cyber attackers

Exploring Cloud Security Concerns and Solutions: A Comprehensive Analysis

Cloud computing has emerged as a prominent computing paradigm, offering a range of resources and services accessible over networks such as the internet. It draws upon techniques like grid computing and distributed computing to provide users, both in industry and academia, with virtual resources accessed remotely. However, as cloud computing gains traction, ensuring its security poses significant challenges. Users entrusting their data to the cloud necessitates robust security measures. This paper aims to explore the various security issues inherent in cloud computing, including concerns surrounding multi-tenancy, elasticity, and availability. Moreover, the paper will delve into existing security measures and approaches aimed at enhancing the security of cloud environments. By discussing these techniques and models, the paper aims to provide researchers and professionals with insights into effectively addressing security threats in the cloud

Typical Applications of IoT Cloud Technology in the HVAC Industry

(Objective) Use the Internet of Things and cloud data technology to build intelligent HVAC environment, form the whole ecosystem with cloud technology as the core, running through designers, builders and managers. The application of virtualization based on cloud technology can integrate environmental resources, provide virtual resources such as intelligent management and control and intelligent construction, and provide an intelligent cloud platform for the whole HVAC environment. With the help of big data technology, we can effectively integrate the information of various building structures to reduce the duplication of labor in the design, construction and use process. In this way, we can create an intelligent HVAC environment, and can carry out interactive construction in the new interactive mode, but also can build a cloud platform of HVAC resource sharing, as well as a centralized control of intelligent management center, to achieve multi-dimensional construction and intelligent management. (Conclusion) The intelligent HVAC environment integrated with the Internet of Things cloud technology can realize the effective sharing of resources through the integration of various material resources, thus greatly improving the efficiency of subsequent maintenance.