Applied Research of Single Sign on Technology in Cloud Services

2014 ◽  
Vol 602-605 ◽  
pp. 3552-3555
Author(s):  
Wei Li ◽  
Yuan Bo Zhu ◽  
Ming Zou

Industrial cloud service platform launched a series of industrial services based on cloud computing for middle and small-sized enterprises. These services include CAD, CAE and other software services utilized on industrial design and manufacturing. Due to integrating various application systems, an efficient authentication technology was urgent required to realize the exchange and sharing of the identity information in the platform. Based on analysis and compare of various mainstream Single Sign-On (SSO) technologies, this paper proposed an SSO solution by using Central Authentication Service (CAS) protocol. Proposed system makes it easy and convenient to deal with login authentication and gain identity information of the whole platform. In addition, proposed system significantly improves the user experience.

2014 ◽  
Vol 926-930 ◽  
pp. 2845-2848
Author(s):  
Wei Li Yu

Aiming at the problems existing NC machining, combining with the existing advanced manufacturing mode, and cloud computing, application integration, new technologies such as service-oriented technology, based on cloud resources in manufacturing, manufacturing services in the cloud, the relationship between manufacturing cloud are expounded. On this basis, the design of the NC machining of cloud services management prototype system function structure, based on whole life cycle of application integration operation of the cloud service portfolio requirements are expounded, and the implementation is based on application integration and cloud service platform of CNC processing key technology are studied, for the future to realize efficient intelligent cloud manufacturing services management to provide theoretical support.


Author(s):  
K Pooja ◽  
◽  
Dr Shailaja S ◽  

Multiple applications of cloud servicing can be seen in the field of logical programming as well as IT industries. Complex computations over local machines may demand for plenty of system resources thereby delaying the data processing operations. In order to achieve speed in processing one must opt for cloud computing techniques. Extensive maneuver of cloud services is desirable for scientific computation of user data and application. This will require a platform designed in a way to meet the specific requirements of individual users, providing an ease for moving their data and applications over different devices. Symbolic-Numeric Computation using cloud service platform is presented in the paper. In this approach user tasks are presented in the form of symbolic expressions using languages like Java, C/C++, APIs etc. Proposed work employs Python programming for carrying out compilation process.


2020 ◽  
Vol 20 (127) ◽  
Author(s):  
Andrew Baer ◽  
Kwangwon Lee ◽  
James Tebrake

Digitalization and the innovative use of digital technologies is changing the way we work, learn, communicate, buy and sell products. One emerging digital technology of growing importance is cloud computing. More and more businesses, governments and households are purchasing hardware and software services from a small number of large cloud computing providers. This change is having an impact on how macroeconomic data are compiled and how they are interpreted by users. Specifically, this is changing the information and communication technology (ICT) investment pattern from one where ICT investment was diversified across many industries to a more concentrated investment pattern. Additionally, this is having an impact on cross-border flows of commercial services since the cloud service provider does not need to be located in the same economic territory as the purchaser of cloud services. This paper will outline some of the methodological and compilation challenges facing statisticians and analysts, provide some tools that can be used to overcome these challenges and highlight some of the implications these changes are having on the way users of national accounts data look at investment and trade in commercial services.


Author(s):  
Fang Zhiyuan ◽  
Wei Li

Health Information eXchange (HIX) is a part of Happiness Cloud Service Platform of Happiness Guangdong in Guangdong Province of China based on innovation of cloud-based business model. This article illustrates the hospital health care business services system based on cloud computing. major business functions of HIX includes integrated mobile medical information services, and mobile health information services. Key cloud service platform capabilities include appointment of HIX registration, doctor-patient interaction and Health Manager System, medical statistical analysis, and the other integrated support module including service platform and platform management provided by two major cloud computing technologies of SaaS and PaaS. Medical cloud services of HIX is an innovative business model for cloud computing, that is, the medical and health services provided to the public going though by cloud computing all over Guangdong Province in China.


2019 ◽  
Vol 16 (3) ◽  
pp. 1-28
Author(s):  
Jian Shu ◽  
Hemant Jain ◽  
Changyong Liang

The demand for agile and flexible business application systems has sparked interest in using cloud computing technology to respond quickly and effectively to a dynamic business environment. The authors classify the appropriate cloud services as a multi-objectives task scheduling problem in a hybrid cloud service system. In this article, the authors propose a business process (BP) driven task scheduling system that supports multiple clouds, including private ones. A trust-based non-dominated sorting genetic algorithm (NSGA2) is developed to solve the multi-objective task scheduling problem. By sorting populations into different hierarchies based on the ordering of Pareto dominance, they identify a Pareto-optimal multi-dimensional frontier that permits managers to reconcile conflicting objectives when scheduling tasks on cloud resources. The authors illustrate the usability and effectiveness of their approach by applying it to a case study conducting simulated experiments.


2016 ◽  
Vol 6 (1) ◽  
pp. 42-58 ◽  
Author(s):  
Mariam Kiran ◽  
Anthony Simons

Testing in the Cloud is far more challenging than testing individual software services. A multitude of factors affect testing, including variations across platforms and infrastructure. Architectural issues include differences between private, public Clouds, multi-Clouds and Cloud-bursting. Platform issues include cross-vendor incompatibility, and diverse locales of service deployment and consumption. Software issues include integration with third-party services, the desire to validate competing service offerings to similar standards and need to re-validate services at different stages of service lifecycle. A complete approach to testing whole Cloud ecosystems should involve all relevant stakeholders, such as service provider, consumer and broker. When testing Clouds, the methodologies used should not hinder the advantages Cloud usage brings to the users or programmers and more importantly be simple and cost effective. However, these testing methodologies differ according to the various kinds of Cloud ecosystems and the different user perspectives of the actors involved such as the end-user, the infrastructures, or the different software (i.e. web services). This paper also studies the state-of-the-art in Cloud testing where most research focuses predominantly on web services, functional testing and quality-of-service, usually being considered separately. The authors suggest a framework, Quality-as-a-Service (QaaS) which integrates quality issues such as functional behaviour and performance monitoring with lifecycle governance and security of the service. This paper maps out the themes in the contemporary research literature and links them with the service lifecycle process for validating future Cloud services. Along the way, the authors identify important research questions that the future Cloud service testing agenda should seek to address.


Author(s):  
Yutaka Mizuno ◽  
Nobutaka Odake

The purpose of this study is to clarify the best practice of an accounting cloud service in Japan which has two-sided markets and freemium structure and how to formulate its service. The authors studied one specific accounting cloud service, as a case study. As results, the authors obtained the following three findings. First, the best accounting cloud service adopted Open & Close strategy. The Company specializes in accounting operations area and make open connections with other cloud services in non-accounting operations area. Second, the best accounting cloud service has a specific service formation along its market strategy. Third, the best accounting cloud service has an effective boarding strategy of its users' group onto its cloud service platform. Therefore, cloud service providers not only adopt Open & Close strategy, but also build up the coherent market strategy to formulate self-reinforcing mechanism before building up their business ecosystem in the two-sided markets and freemium structure.


Economics ◽  
2015 ◽  
pp. 406-425 ◽  
Author(s):  
Yutaka Mizuno ◽  
Nobutaka Odake

The purpose of this study is to clarify the best practice of an accounting cloud service in Japan which has two-sided markets and freemium structure and how to formulate its service. The authors studied one specific accounting cloud service, as a case study. As results, the authors obtained the following three findings. First, the best accounting cloud service adopted Open & Close strategy. The Company specializes in accounting operations area and make open connections with other cloud services in non-accounting operations area. Second, the best accounting cloud service has a specific service formation along its market strategy. Third, the best accounting cloud service has an effective boarding strategy of its users' group onto its cloud service platform. Therefore, cloud service providers not only adopt Open & Close strategy, but also build up the coherent market strategy to formulate self-reinforcing mechanism before building up their business ecosystem in the two-sided markets and freemium structure.


2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


2020 ◽  
Vol 44 (5) ◽  
pp. 953-975
Author(s):  
Emna Ben-Abdallah ◽  
Khouloud Boukadi ◽  
Mohamed Hammami ◽  
Mohamed Hedi Karray

PurposeThe purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.Design/methodology/approachpropose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.FindingsThe findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.Research limitations/implicationsLimited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.Practical implicationsThe SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.Originality/valueThe SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.


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