scholarly journals Serverless: Next Generation of Cloud Computing

2021 ◽  
Vol 9 (VII) ◽  
pp. 1168-1172
Author(s):  
Md Amir Ali
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Web Applications ◽  
Response Times ◽  
Next Generation ◽  
New Paradigm ◽  
Service Concept ◽  
Service Deployment ◽  
Cloud Technologies ◽  
Programming Paradigms

Serverless computing has emerged as a promising new paradigm for application and service deployment. The process of delivering code into production can be made easier with serverless computing. Serverless code can be utilized alongside standard deployment strategies such as microservices and monoliths. Alternatively, programs can be developed to be completely serverless, meaning they don't require any supplied servers. A serverless computing service concept is also called Function as a Service (FaaS), which allows developers to deploy specific functions to the cloud. FaaS has proven to be effective for a variety of computational activities, although using it for web apps can be difficult due to excessive response times on occasion. Nevertheless, serverless computing for web applications is gaining popularity. It is a testament to the maturity and widespread usage of cloud technologies, as it symbolizes the development of cloud programming paradigms, abstractions, and platforms. In this research, we investigated existing serverless platforms from industry, academia, and open-source initiatives, identifying key criteria.

scholarly journals Cloud Computing Loading Time Over Different Operating Systems

2020 ◽  
Vol 8 (4) ◽  
pp. 154-159
Author(s):  
Kamaran H.A Faraj ◽  
Asan B. Kanbar ◽  
Jaza Gul-Mohammed ◽  
Wafaa M. Hmeed ◽  
Shagul F. Karim
Keyword(s):  
Cloud Computing ◽  
Computer Architecture ◽  
Open Source ◽  
Operating Systems ◽  
Web Applications ◽  
Information Communication ◽  
Paper Test ◽  
Public And Private ◽  
Web Technologies ◽  
Different Types

Since the traditional time loading (TTL) very primitive before the era of information communication technology (ICT) and it was really not depended on the result of time-loading due to the old version of computer architecture (i.e. serial processing). Nevertheless, the parallel processing systems open a wide area of researching for electronic time loading (ETL) over different operating systems by programing languages (i.e. python or private home page (Php)). The electronic time loading (ETL) for cloud Computing (CC) is a hot experimental topic.  ETL for CC is not only one parameter (i.e. a web technologies type or a web applications type or an infrastructures type or an architectures type). Moderately, the term CC refers to the evolution of the information technology (IT). As we realized the ETL is very important for reducing time wasting. The reducing time-waste loading over different web operating systems or CC is a target in this paper.  Finally, this paper test the Electronic Loading Time of CC over different operating systems with different types of network (i.e. public and private) discovering the least ETL. Hence the benchmarking TTL is not applicable (N/A) due to the activity from a person to others is very changeable and not depended on it at all.  This paper shows the total time and load time over different OS in seconds, and find out the least time loading required this work is a good solution of the response time over different operating system in open source-LOS and non-open source WOS.

scholarly journals Performance Analysis of an Effective Approach to Protect Cloud Systems against Application Layer Based Attacks

2019 ◽  
Vol 15 (03) ◽  
pp. 82
Author(s):  
Hosam F. El-Sofany ◽  
Samir Abou El-Seoud
Keyword(s):  
Cloud Computing ◽  
Web Applications ◽  
Complexity Analysis ◽  
Denial Of Service ◽  
Ddos Attacks ◽  
Application Layer ◽  
Analysis Model ◽  
New Paradigm ◽  
Dos Attacks ◽  
Web Based

Cloud computing is a new paradigm for hosting hardware and software resources and provides a web-based services to organizations and consumers. It also provides an easy to use and on-demand access to cloud based computing resources that can be published by easy, minimal administration and with a great efficiency. Services of cloud computing are accessing and sharing through internet connection thus it is open for attacker to attack on its security. Application layer based attacks is one of Distributed Denial of Service attacks (DDoS) that can cause a big problem in cloud security. The main objective of DDoS attacks is to infect computer resources (e.g., software applications, network, CPU, etc.) and make them not working properly for the authorized users. In DDoS, the attacker tries to overload the web-based service with traffic. HTTP and XML-based DDoS attacks are founded under the application layer based category of DoS attacks. This category of attack is focused on particular web applications. The main objective of this research paper is to introduce an effective approach to protect cloud-based systems against application layer based attacks. Complexity analysis, effectiveness and performance evaluations of the presented approach are presented.  The feedbacks of the experimental results were highly promising, for protecting cloud computing systems against both DoS and DDoS attacks. Correlation analysis model is also used to validate the efficiency of the proposed approach.

Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

2019 ◽  
Vol 13 ◽  
Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono
Keyword(s):  
Response Time ◽  
Open Source ◽  
Poisson Distribution ◽  
Mobile Application ◽  
Web Applications ◽  
Performance Comparison ◽  
Memory Usage ◽  
Data Traffic ◽  
Cpu Utilization

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

A survey on cloud computing privacy and security compliances in health domain (Preprint)

2020 ◽  
Author(s):  
Zahra Zandesh
Keyword(s):  
Cloud Computing ◽  
New Paradigm ◽  
Data Governance ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Memory Space ◽  
Health Domain ◽  
Security Services ◽  
Cloud Compliance ◽  
Complicated Nature

BACKGROUND The complicated nature of cloud computing encompassing internet-based technologies and service models for delivering IT applications, processing capability, storage, and memory space and some notable features motivate organizations to migrate their core businesses to the cloud. Consequently, healthcare organizations are much interested to migrate to this new paradigm despite challenges about security, privacy and compliances issues. OBJECTIVE The present study was conducted to investigate all related cloud compliances in health domain in order to find gaps in this context. METHODS All works on cloud compliance issues were surveyed after 2013 in health domain in PubMed, Scopus, Web of Science, and IEEE Digital Library databases. RESULTS Totally, 36 compliances had been found in this domain used in different countries for a variety of purposes. Initially, all founded compliances were divided into three parts as well as five standards, twenty-eight legislations and three policies and guidelines each of which is presented here by in detail. CONCLUSIONS Then, some main headlines like compliance management, data management, data governance, information security services, medical ethics, and patients' rights were recommended in terms of any compliance or frameworks and their corresponding patterns which should be involved in this domain.

Econometrics Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Danielle V. Handel ◽  
Anson T. Y. Ho ◽  
Kim P. Huynh ◽  
David T. Jacho-Chávez ◽  
Carson H. Rea
Keyword(s):  
Cloud Computing ◽  
Data Science ◽  
Internet Access ◽  
Next Generation ◽  
Web Browser ◽  
Computer Laboratory ◽  
Economics Students ◽  
Computing Platforms

AbstractThis paper describes how cloud computing tools widely used in the instruction of data scientists can be introduced and taught to economics students as part of their curriculum. The demonstration centers around a workflow where the instructor creates a virtual server and the students only need Internet access and a web browser to complete in-class tutorials, assignments, or exams. Given how prevalent cloud computing platforms are becoming for data science, introducing these techniques into students’ econometrics training would prepare them to be more competitive when job hunting, while making instructors and administrators re-think what a computer laboratory means on campus.

scholarly journals COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization

2021 ◽  
pp. 107366
Author(s):  
Marco Langiu ◽  
David Yang Shu ◽  
Florian Joseph Baader ◽  
Dominik Hering ◽  
Uwe Bau ◽  
...  
Keyword(s):  
Open Source ◽  
Energy Systems ◽  
Next Generation ◽  
Open Source Framework

scholarly journals Next-Generation Sequencing: From Basic Research to Diagnostics

2009 ◽  
Vol 55 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Karl V Voelkerding ◽  
Shale A Dames ◽  
Jacob D Durtschi
Keyword(s):  
Next Generation Sequencing ◽  
Dna Sequencing ◽  
Single Molecule ◽  
Basic Research ◽  
Clinical Diagnostics ◽  
Massively Parallel ◽  
Next Generation ◽  
New Paradigm ◽  
The Impact ◽  
Generation Sequencing

Abstract Background: For the past 30 years, the Sanger method has been the dominant approach and gold standard for DNA sequencing. The commercial launch of the first massively parallel pyrosequencing platform in 2005 ushered in the new era of high-throughput genomic analysis now referred to as next-generation sequencing (NGS). Content: This review describes fundamental principles of commercially available NGS platforms. Although the platforms differ in their engineering configurations and sequencing chemistries, they share a technical paradigm in that sequencing of spatially separated, clonally amplified DNA templates or single DNA molecules is performed in a flow cell in a massively parallel manner. Through iterative cycles of polymerase-mediated nucleotide extensions or, in one approach, through successive oligonucleotide ligations, sequence outputs in the range of hundreds of megabases to gigabases are now obtained routinely. Highlighted in this review are the impact of NGS on basic research, bioinformatics considerations, and translation of this technology into clinical diagnostics. Also presented is a view into future technologies, including real-time single-molecule DNA sequencing and nanopore-based sequencing. Summary: In the relatively short time frame since 2005, NGS has fundamentally altered genomics research and allowed investigators to conduct experiments that were previously not technically feasible or affordable. The various technologies that constitute this new paradigm continue to evolve, and further improvements in technology robustness and process streamlining will pave the path for translation into clinical diagnostics.

scholarly journals OpenStack: Toward an Open-source Solution for Cloud Computing

2012 ◽  
Vol 55 (3) ◽  
pp. 38-42 ◽  
Author(s):  
Omar Sefraoui ◽  
Mohammed Aissaoui ◽  
Mohsine Eleuldj
Keyword(s):  
Cloud Computing ◽  
Open Source
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