2021 ◽  
Vol 4 (1) ◽  
pp. 29-38
Abdel Rahman Alzoubaidi ◽  
Mutasem Alzoubaidi ◽  
Ismaiel Abu Mahfouz ◽  
Taha Alkhamis ◽  

Currently, universities have rising demands to apply the incredible recent developments in computer technology that support students to achieve skills necessary for developing applied critical thinking in the contexts of online society. Medical and engineering subjects’ practical learning and education scenarios are crucial to attain a set of competencies and applied skills. These recent developments allow sharing and resource allocation, which brings savings and maximize use, and therefore offer centralized management, increased security, and scalability. This paper describes the implantation of Virtual Desktop Infrastructure (VDI) to access the virtual laboratories that bring efficient use of resources as one of Al Balqa Applied University’s (BAU) Private Cloud services. The concept of desktop virtualization implements the sharing of capabilities utilizing legacy machines, which reduces the cost of infrastructure and introduces increased security, mobility, scalability, agility, and high availability. Al Balqa Applied University uses the service extensively to facilitate in/off-campus learning, teaching, and administrative activities and continue performing their work and education functions remotely to cope with the COVID-19 pandemic.

Rupesh Kumar ◽  
Arun Kumar Yadav ◽  
H N Verma

In the Information Technology world, cloud computing technology offering unlimited amount of IT resources and services to end users over the internet on pay-per-use basis. End users are accessing the cloud services on their mobile or personal computers. Service providers are upgrading their services very frequently to enhance the services, and to use their upgraded services, end users are also required to update the specification of their devices. But it will be very costly for the end users to upgrade their devices for high specification to use the enhanced services. Desktop Virtualization is an extensive technology of cloud services. It is the new concept, in which users can access the virtual desktop of required specifications, software and operating system on their old devices anytime and anywhere. With the help of desktop virtualization, users will be benefited by avoiding the cost of frequent upgradation of mobile or personal computer system. Desktop virtualization technology is proving to be a boon for large and small organizations who have to upgrade their computer system with new technology, which is a very costly and challenging process. Desktop virtualization avoids upgrading the hardware of the client machine repeatedly. It allows us to access all applications and data at a low cost on our old machine. This paper presents the comparative analysis of various approaches for desktop virtualization and various challenges which required the solution. Analysis presented in paper has been done based on various performance parameters which will provide the end users low-cost cloud services and best performance on their mobile or personal computers.

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Bao Rong Chang ◽  
Hsiu-Fen Tsai ◽  
Chi-Ming Chen

Physical server transited to virtual server infrastructure (VSI) and desktop device to virtual desktop infrastructure (VDI) have the crucial problems of server consolidation, virtualization performance, virtual machine density, total cost of ownership (TCO), and return on investments (ROI). Besides, how to appropriately choose hypervisor for the desired server/desktop virtualization is really challenging, because a trade-off between virtualization performance and cost is a hard decision to make in the cloud. This paper introduces five hypervisors to establish the virtual environment and then gives a careful assessment based on C/P ratio that is derived from composite index, consolidation ratio, virtual machine density, TCO, and ROI. As a result, even though ESX server obtains the highest ROI and lowest TCO in server virtualization and Hyper-V R2 gains the best performance of virtual machine management; both of them however cost too much. Instead the best choice is Proxmox Virtual Environment (Proxmox VE) because it not only saves the initial investment a lot to own a virtual server/desktop infrastructure, but also obtains the lowest C/P ratio.

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Doowon Jeong ◽  
Jungheum Park ◽  
Sangjin Lee ◽  
Chulhoon Kang

Cloud computing for IoT (Internet of Things) has exhibited the greatest growth in the IT market in the recent past and this trend is expected to continue. Many companies are adopting a virtual desktop infrastructure (VDI) for private cloud computing to reduce costs and enhance the efficiency of their servers. As a VDI is widely used, threats of cyber terror and invasion are also increasing. To minimize the damage, response procedure for cyber intrusion on a VDI should be systematized. Therefore, we propose an investigation methodology for VDI solutions in this paper. Here we focus on a virtual desktop infrastructure and introduce various desktop virtualization solutions that are widely used, such as VMware, Citrix, and Microsoft. In addition, we verify the integrity of the data acquired in order that the result of our proposed methodology is acceptable as evidence in a court of law. During the experiment, we observed an error: one of the commonly used digital forensic tools failed to mount a dynamically allocated virtual disk properly.

2021 ◽  
Vol 13 (10) ◽  
pp. 5466
Guangwei Huang

Urban sustainability refers to building and maintaining cities that can continue to function without running out of resources. However, growing cities require more land and urban sprawl has transformed surrounding rural areas into urbanized settlements. Furthermore, the prosperity of large cities depends on the supply of both natural and human resources from rural areas, either nearby or remote. On the other hand, the use of resources of rural areas by cities may cause negative externalities to rural areas, affecting their sustainability. Therefore, a critical, but very much neglected issue, is how unban sustainability should be pursued without affecting rural sustainability. In this study, cases in Japan and China were analyzed from resources and population migration perspectives to provide evidence for the possibility that urban sustainability might have been pursued at the cost of rural unsustainability. It was intended to develop a better understanding of urban sustainability through the lens of externalities. Based on the analysis, a new framework for urban sustainability study was proposed, which consists of three new pillars. Namely, externality, vulnerability, and population instability.

2021 ◽  
Vol 11 (4) ◽  
pp. 1627
Yanbin Li ◽  
Gang Lei ◽  
Gerd Bramerdorfer ◽  
Sheng Peng ◽  
Xiaodong Sun ◽  

This paper reviews the recent developments of design optimization methods for electromagnetic devices, with a focus on machine learning methods. First, the recent advances in multi-objective, multidisciplinary, multilevel, topology, fuzzy, and robust design optimization of electromagnetic devices are overviewed. Second, a review is presented to the performance prediction and design optimization of electromagnetic devices based on the machine learning algorithms, including artificial neural network, support vector machine, extreme learning machine, random forest, and deep learning. Last, to meet modern requirements of high manufacturing/production quality and lifetime reliability, several promising topics, including the application of cloud services and digital twin, are discussed as future directions for design optimization of electromagnetic devices.

Jheng-Yue Li ◽  
Chan-Fu Kuo ◽  
Yuan-Ting Wang ◽  
Ching-Fang Lee ◽  
Tzu-Yang Chen ◽  

2016 ◽  
Vol 66 (4) ◽  
Tommaso Diaco ◽  
Geremia Milanesi ◽  
Daniela Zaniboni ◽  
Massimo Gritti ◽  
Gianna Zavatteri ◽  

weight on social cost. An improved resources utilization could promote a reduction of the new hospitalization and a of medical costs. Working hypotesis: To analyze a model of increased utilization of our Cardiac Rehabilitation (CR) Unit, aiming at improving the cost/profit ratio through a better use of resources and a better assignment of care. With a reduction of average length of stay in the Operative Units for acute patients, we could promote a demand of post-acute hospitalization of 950.7 days of hospitalization that could be assigned to Cardiologic Rehabilitation Unit. Results: With the transfer of patients the utilization rate of CR would increase to 97%. With a mean period in bed of 15.3 days we could hospitalize 62 additional patients and the total margin of contribution would became positive: 69.817 euro. The break even analysis applied to costs and returns of the Unit shows a further indication to increase the hospitalization number in CR Unit with patients transfered from acute patient units. Under the same costs the recovery of efficiency leads to a reduction of variable costs. In the same time there is an increase of returns due to an increase of mean value for case and an increase of services. Conclusion: The increase in the efficiency in the utilization of CR Unit leads to an increase of the Hospital efficiency. The transfer of patients from acute units to CR Unit would allow an increased hospitalization rate for acute patients without requiring additional resources.

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Jiuwen Cao ◽  
Zhiping Lin

Extreme learning machine (ELM) has been developed for single hidden layer feedforward neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the hidden neurons are randomly assigned and remain unchanged during the learning process. The output connections are then tuned via minimizing the cost function through a linear system. The computational burden of ELM has been significantly reduced as the only cost is solving a linear system. The low computational complexity attracted a great deal of attention from the research community, especially for high dimensional and large data applications. This paper provides an up-to-date survey on the recent developments of ELM and its applications in high dimensional and large data. Comprehensive reviews on image processing, video processing, medical signal processing, and other popular large data applications with ELM are presented in the paper.

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