Architecture Research and Design of Cloud Computing Service Based on REST

2014 ◽  
Vol 989-994 ◽  
pp. 1934-1937
Author(s):  
Kun Huang

Cloud computing deployment model has: IAAS, PAAS, SAAS, and they can provide calls for the clients by web services. REST-style cloud computing architecture represents resource by the URI, and operates resources by standard HTTP methods GET, PUT, POST, DELETE, etc. In this paper, the e-city website as example, using REST methods to architect website, logistics, customer, the pay bank. The architecture fully reflects the REST architectural style is simple and convenient. But REST flaw is that the limited transaction-oriented processing capabilities. In order to solve this problem, WASL (Web Application Description Language) is used to describe the REST API.

2020 ◽  
Vol 17 (8) ◽  
pp. 3581-3585
Author(s):  
M. S. Roobini ◽  
Selvasurya Sampathkumar ◽  
Shaik Khadar Basha ◽  
Anitha Ponraj

In the last decade cloud computing transformed the way in which we build applications. The boom in cloud computing helped to develop new software design and architecture. Helping the developers to focus more on the business logic than the infrastructure. FaaS (function as a service) compute model it gave developers to concentrate only on the application code and rest of the factors will be taken care by the cloud provider. Here we present a serverless architecture of a web application built using AWS services and provide detail analysis of lambda function and micro service software design implemented using these AWS services.


Author(s):  
Salah Hussein ◽  
Samer Zein ◽  
Norsaremah Salleh

Most of software products, especially mobile applications (apps) rely on a back-end web services to communicate with a shared data repository. Statistics have demonstrated exponential demand on web services, mainly REST, due to the continuous adoption of IoT (Internet of Things) and Cloud Computing. However, the development of back-end REST web services is not a trivial task, and can be intimidating even for seasoned developers. Despite the fact that there are several studies that focus on automatic generation of REST APIs, we argue that those approaches violate the rules of code flexibility and are not appropriate for novice developers. In this study, we present an approach and a framework, named RAAG (REST Api Auto-Generation), that aims to improve productivity by simplifying the development of REST web services. Our RAAG framework abstracts layers, where code generation has been avoided due its limitations. A preliminary evaluation shows that RAAG can significantly improves development productivity and is easy to operate even by novice developers.


2021 ◽  
Vol 2094 (3) ◽  
pp. 032016
Author(s):  
D V Kornienko ◽  
S V Mishina ◽  
S V Shcherbatykh ◽  
M O Melnikov

Abstract This article discusses the key points of developing a secure RESTful web service API for keeping a student achievement journal. The relevance of using web services has been analyzed. The classification of web applications is given. The features of the Single Page Application architecture were considered. Comparative characteristics of architectural styles of application programming interfaces are given. Requirements to be met by RESTful API services are considered. The basic principles of API security were analyzed. A list of the main vulnerabilities that may appear during the development of the REST API is given. An overview of popular authentication schemes (methods) is given. Comparative characteristics of web frameworks of the Python programming language are given. The main tools used in the development of web API applications are listed. The process of creating a secure prototype of a RESTful web service API in Python using the Flask microframework and a tool for describing the Swagger specifications is presented. The process of configuring the application was examined in detail. The main recommendations for securing a web application, database and web server settings are listed. The key points of ensuring the protection of the developed web application are considered. The results obtained were analyzed.


2020 ◽  
Author(s):  
Fernando Mora-Márquez ◽  
José Luis Vázquez-Poletti ◽  
Unai López de Heredia

AbstractNGScloud was a bioinformatic system developed to perform de novo RNAseq analysis of non-model species by exploiting the cloud computing capabilities of Amazon Web Services. The rapid changes undergone in the way this cloud computing service operates, along with the continuous release of novel bioinformatic applications to analyze next generation sequencing data, have made the software obsolete. NGScloud2 is an enhanced and expanded version of NGScloud that permits the access to ad hoc cloud computing infrastructure, scaled according to the complexity of each experiment. NGScloud2 presents major technical improvements, such as the possibility of running spot instances and the most updated AWS instances types, that can lead to significant cost savings. As compared to its initial implementation, this improved version updates and includes common applications for de novo RNAseq analysis, and incorporates tools to operate workflows of bioinformatic analysis of reference-based RNAseq, RADseq and functional annotation. NGScloud2 optimizes the access to Amazon’s large computing infrastructures to easily run popular bioinformatic software applications, otherwise inaccessible to non-specialized users lacking suitable hardware infrastructures. The correct performance of the pipelines for de novo RNAseq, reference-based RNAseq, RADseq and functional annotation was tested with real experimental data. NGScloud2 code, instructions for software installation and use are available at https://github.com/GGFHF/NGScloud2. NGScloud2 includes a companion package, NGShelper that contains python utilities to post-process the output of the pipelines for downstream analysis at https://github.com/GGFHF/NGShelper.


Author(s):  
José C. Delgado

The Web started as a means to navigate in hypermedia documents but has evolved to a pervasive Web of Services, raising distribution and interoperability problems. Web Services appeared as a solution but have grown to become a complex technology, leading many web application providers to adopt a much simpler architectural style, REST. Each style has advantages and disadvantages. As always, the trick is to learn from both sides and to use a flexible technology that can adapt and support both styles. This chapter establishes a model, based on resources, services, and processes, and discusses the various possible combinations, putting the current architectural styles into perspective. Based on this, this chapter proposes one single language to support several levels that are currently implemented in separate technologies: data (including schema, usually described in XML or JSON), interface (WSDL for Web Services and HTTP verbs for Restful applications), and behavior (usually done in BPEL or in a general programming language).


PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11237
Author(s):  
Fernando Mora-Márquez ◽  
José Luis Vázquez-Poletti ◽  
Unai López de Heredia

Background NGScloud was a bioinformatic system developed to perform de novo RNAseq analysis of non-model species by exploiting the cloud computing capabilities of Amazon Web Services. The rapid changes undergone in the way this cloud computing service operates, along with the continuous release of novel bioinformatic applications to analyze next generation sequencing data, have made the software obsolete. NGScloud2 is an enhanced and expanded version of NGScloud that permits the access to ad hoc cloud computing infrastructure, scaled according to the complexity of each experiment. Methods NGScloud2 presents major technical improvements, such as the possibility of running spot instances and the most updated AWS instances types, that can lead to significant cost savings. As compared to its initial implementation, this improved version updates and includes common applications for de novo RNAseq analysis, and incorporates tools to operate workflows of bioinformatic analysis of reference-based RNAseq, RADseq and functional annotation. NGScloud2 optimizes the access to Amazon’s large computing infrastructures to easily run popular bioinformatic software applications, otherwise inaccessible to non-specialized users lacking suitable hardware infrastructures. Results The correct performance of the pipelines for de novo RNAseq, reference-based RNAseq, RADseq and functional annotation was tested with real experimental data, providing workflow performance estimates and tips to make optimal use of NGScloud2. Further, we provide a qualitative comparison of NGScloud2 vs. the Galaxy framework. NGScloud2 code, instructions for software installation and use are available at https://github.com/GGFHF/NGScloud2. NGScloud2 includes a companion package, NGShelper that contains Python utilities to post-process the output of the pipelines for downstream analysis at https://github.com/GGFHF/NGShelper.


10.31355/33 ◽  
2018 ◽  
Vol 2 ◽  
pp. 105-120
Author(s):  
Hamed Motaghi ◽  
Saeed Nosratabadi ◽  
Thabit Qasem Atobishi

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The main objective of the current study is to develop a business model for service providers of cloud computing which is designed based on circular economy principles and can ensure the sustainable consumption. Background Even though the demand for cloud computing technology is increasing day by day in all over the world, the current the linear economy principles are incapable to ensure society development needs. To consider the benefit of the society and the vendors at the same time, the principles of circular economy can address this issue. Methodology................................................................................................................................................................................................. An extensive literature review on consumption, sustainable consumption, circular economic, business model, and cloud computing were conducted. the proposed model of Osterwalder, Pigneur and Tucci (2005) is admitted designing the circular business model. Contribution................................................................................................................................................................................................. The proposed model of the study is the contribution of this study where provides the guidelines for the cloud computing service providers to achieve both their economic profits and the society’ needs. Findings Finding reveals that if the cloud computing service providers design their business model based on the “access” principle of circular economy, they can meet their economic profits and the society’ needs at a same time. Recommendations for Practitioners.............................................................................................................................................................. It is recommended to the startup and the existing businesses to utilize the proposed model of this study to reach a sustainable development. Recommendation for Researchers................................................................................................................................................................ It proposes a new circular business model and its linkages with community building. Impact on Society............................................................................................................................................................................................ The proposed model of the study provides guidelines to the cloud computing service providers to design a business model which is able not only to meet their economic profit, but also to meet the society’s and customers’ benefits. Future Research............................................................................................................................................................................................... Future researches can build on this research model which proposed in this study to examine the limitations of this model by using empirical researches.


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