scholarly journals Using AWS Cloud resources in Operating Systems undergraduate class during the pandemic: a case study

Author(s):  
André Gradvohl

Pandemic brought new forms of remote education into the discussion. However, facilitating students' access to good computing infrastructure is not a widespread task. This paper presents a report on the use of computing resources in the AWS cloud by students in the Operating Systems class during the pandemic, from March to July 2020. The use of these computational resources was essential to consolidate some of the concepts covered in the course and, at the same time, to complement the students' knowledge about cloud computing. The results of this survey were very positive. Students said they learned more about the resources available in the cloud, the potential of cloud computing, and how to use it. Besides, they were able to create their remote infrastructure to carry out the work proposed in the Operating System class.

2020 ◽  
Author(s):  
André Gradvohl

Pandemic brought new forms of remote education into the discussion. However, facilitating students' access to good computing infrastructure is not a widespread task. This paper presents a report on the use of computing resources in the AWS cloud by students in the Operating Systems class during the pandemic, from March to July 2020. The use of these computational resources was essential to consolidate some of the concepts covered in the course and, at the same time, to complement the students' knowledge about cloud computing. The results of this survey were very positive. Students said they learned more about the resources available in the cloud, the potential of cloud computing, and how to use it. Besides, they were able to create their remote infrastructure to carry out the work proposed in the Operating System class.


2013 ◽  
Vol 52 (01) ◽  
pp. 72-79 ◽  
Author(s):  
S. Hieke ◽  
H. Binder ◽  
G. Schwarzer ◽  
J. Knaus

SummaryBackground: “Cloud” computing providers, such as the Amazon Web Services (AWS), offer stable and scalable computational resources based on hardware virtualization, with short, usually hourly, billing periods. The idea of pay-as-you-use seems appealing for biometry research units which have only limited access to university or corporate data center resources or grids.Objectives: This case study compares the costs of an existing heterogeneous on-site hardware pool in a Medical Biometry and Statistics department to a comparable AWS offer.Methods: The “total cost of ownership”, including all direct costs, is determined for the on-site hardware, and hourly prices are derived, based on actual system utilization during the year 2011. Indirect costs, which are difficult to quantify are not included in this comparison, but nevertheless some rough guidance from our experience is given. To indicate the scale of costs for a methodological research project, a simulation study of a permutation-based statistical approach is performed using AWS and on-site hardware.Results: In the presented case, with a system utilization of 25 –30 percent and 3 – 5-year amortization, on-site hardware can result in smaller costs, compared to hourly rental in the cloud dependent on the instance chosen. Renting cloud instances with sufficient main memory is a deciding factor in this comparison.Conclusions: Costs for on-site hardware may vary, depending on the specific infrastructure at a research unit, but have only moderate impact on the overall comparison and subsequent decision for obtaining affordable scientific computing resources. Overall utilization has a much stronger impact as it determines the actual computing hours needed per year. Taking this into account, cloud computing might still be a viable option for projects with limited maturity, or as a supplement for short peaks in demand.


2021 ◽  
Vol 2 (4) ◽  
pp. 448-461
Author(s):  
Teresa Alcamo ◽  
Alfredo Cuzzocrea ◽  
Giovanni Pilato ◽  
Daniele Schicchi

We analyze and compare five deep-learning neural architectures to manage the problem of irony and sarcasm detection for the Italian language. We briefly analyze the model architectures to choose the best compromise between performances and complexity. The obtained results show the effectiveness of such systems to handle the problem by achieving 93\% of F1-Score in the best case. As a case study, we also illustrate a possible embedding of the neural systems in a cloud computing infrastructure to exploit the computational advantage of using such an approach in tackling big data.


Author(s):  
Wenjuan Xu ◽  
Brian Groves ◽  
Willson Kwok

<p><strong> </strong></p><p>The cloud computing techniques bring different security challenges. In this paper, we set up ownCloud as the example cloud computing infrastructure. Then we present our work process and results of a series of penetration testing performed on the ownCloud.  We also analyse these results and give key recommendations for addressing the identified vulnerabilities.</p><p> </p><p> Keywords: cloud computing, security, penetration tesing, owncloud</p>


2019 ◽  
pp. 1312-1332
Author(s):  
Omar Al-Hujran ◽  
Enas M. Al-Lozi ◽  
Mutaz M. Al-Debei ◽  
Mahmoud Maqableh

Cloud computing can be classified as a third-generation computing platform which refers to on-demand delivery of computing infrastructure and services via a network, usually the Internet. Cloud computing promises to provide several advantages to its adopters such as: cost advantage, availability, scalability, flexibility, reduced time to market and dynamic access to computational resources. Notwithstanding the numerous advantages of cloud computing, its implementation and adoption in developing countries is still limited and surrounded by variety of issues. Hence, the main objective of this article is to identify the main challenges facing the utilization of these services in developing countries, particularly Jordan. To achieve the above-mentioned objective, six in-depth interviews with ICT officials and experts in the domain of cloud computing were used as the main data collection method. The challenges of cloud computing adoption emerged in this study are classified into technological, organizational and environmental factors.


Author(s):  
Matteo Turilli ◽  
David Wallom ◽  
Chris Williams ◽  
Steve Gough ◽  
Neal Curran ◽  
...  

Cloud computing has been increasingly adopted by users and providers to promote a flexible, scalable and tailored access to computing resources. Nonetheless, the consolidation of this paradigm has uncovered some of its limitations. Initially devised by corporations with direct control over large amounts of computational resources, cloud computing is now being endorsed by organizations with limited resources or with a more articulated, less direct control over these resources. The challenge for these organizations is to leverage the benefits of cloud computing while dealing with limited and often widely distributed computing resources. This study focuses on the adoption of cloud computing by higher education institutions and addresses two main issues: flexible and on-demand access to a large amount of storage resources, and scalability across a heterogeneous set of cloud infrastructures. The proposed solutions leverage a federated approach to cloud resources in which users access multiple and largely independent cloud infrastructures through a highly customizable broker layer. This approach allows for a uniform authentication and authorization infrastructure, a fine-grained policy specification and the aggregation of accounting and monitoring. Within a loosely coupled federation of cloud infrastructures, users can access vast amount of data without copying them across cloud infrastructures and can scale their resource provisions when the local cloud resources become insufficient.


Author(s):  
Ram Prasad Patnaik ◽  
Dambaru Dhara Nahak

Virtualization is a technology that transforms today’s powerful computer hardware, which was designed to run a single operating system and a single application, to run multiple virtual machine having independent operating system. Many times, we observes that the server resources been underutilized. Virtualization allows us to efficiently utilize the available resources on physical machine. In virtualization environment, different virtualized machines can have different host operating system (i.e. different versions windows, Linux, Solaris etc). The most important concept to understand in virtualization is that, the virtual machines operating systems are independent from physical server operating system. This paper is an attempt to illustrate and appreciate the concept of virtualization and its implementation by using a live case study which we have implemented for one of our leading ETL tool development for a client. Case study elaborates the implementation details about Virtualized DB Clustering and Server Consolidation.


2019 ◽  
Vol 3 (02) ◽  
pp. 42-47
Author(s):  
Noor Hazwani Mohamad Puad ◽  
Asma Md Ali ◽  
Mohd Adam Suhaimi ◽  
Husnayati Hussin

The objective of this study is to discover the perspectives of cloud providers towards cloud computing adoption in Malaysia in terms of the challenges faced by cloud providers and reasons for the adoption. Data were collected through semi structured interviews with three cloud providers. The findings indicated security concern, difficulties in learning cloud computing infrastructure, changes in IT roles, high cost of bandwidth and life span of IT equipment as challenges faced by cloud providers in providing cloud service in Malaysia. This study also discovered cloud scalability, end-to-end management, high level security, and customizable as the reasons on cloud computing adoption. The findings of this study help people to understand more about the current situation of cloud computing adoption in Malaysia. Keywords—cloud adoption, cloud computing, cloud providers, Malaysia.


2018 ◽  
Vol 7 (4) ◽  
pp. 2743
Author(s):  
Shilpashree. S ◽  
Renuka R. Patil ◽  
Parvathi C

Cloud Computing is one of the emerging technologies in all fields and is called as the type of computing relayed on the internet. The main functions of Cloud Computing are hosting and delivering of various software and services using the internet. Depending on the demands and requirements of the user, the cloud computing affords the main computational resources to users as service. The main computational resources are larger storage space, server with high performance, various operating systems for various platforms and Network. The demand for these resources by the user is increasing day by day with the main drawback of security and is considered as a very serious problem in cloud computing. This paper has surveyed the various concepts related to cloud computing such as, the architecture, types and models for deployment, applications, advantages and disadvantages. The main goal of this paper is to provide a better knowledge about the cloud computing and its issues in the research on various domains.  


Author(s):  
Shruti Makarand Kanade

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.


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