Classifying Web Services based on QoS Parameters using Extended Dataset

Tewari, Vandan; Thakar, Urjita; Dagdee, Nirmal

doi:10.5120/12907-9987

Cited by 4 publications

(5 citation statements)

References 6 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to verify the correctness and reliability of the improved model based on the Markov residual correction proposed in this paper 19 , the QWS dataset is selected and the two attributes of interoperability and scalability are extended by validity and throughput 20 , and Table 2 shows some of the intercepted experimental data. Due to the large range of values for individual attribute data series (e.g., response time, throughput, delay) and hence the large fluctuations, it is necessary to pre-process the raw data before doing a cumulative generation in order to improve the accuracy of the model fit 19 .…”

Section: Improved Prediction Model Applied To Network Performance Pre...mentioning

confidence: 99%

Research on improved algorithms for network performance prediction based on grey prediction model

Chen,

Hong,

Jiang

et al. 2023

Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023)

View full text Add to dashboard Cite

With the rapid development of computer networks, the scale of networks has become extremely large and complex, and a slight fluctuation in network performance parameters may have an impact on the entire network service, which makes accurate prediction of network performance particularly important. In this paper, an improved grey prediction model is applied to the prediction of network performance, and a Markov residual correction model is used to correct the prediction results to improve the prediction accuracy. The experimental results show that the error between the predicted and actual values after Markov residual correction is significantly reduced compared with the traditional grey prediction model, and the results are closer to the actual situation.

show abstract

Section: Improved Prediction Model Applied To Network Performance Pre...mentioning

confidence: 99%

Research on improved algorithms for network performance prediction based on grey prediction model

Chen,

Hong,

Jiang

et al. 2023

Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023)

View full text Add to dashboard Cite

show abstract

“…Vandan Tewari et. al [6] proposed an effective web service ranking algorithm. Offence-Defense model of rating and ranking was introduced and also the usage of collaborative mechanism for rating of the services was also discussed.…”

Section: Related Workmentioning

confidence: 99%

Trustworthy mechanisms for selecting cloud service providers

Elizabeth

Ramya

Prakash

et al. 2014

2014 International Conference on Recent Trends in Information Technology

View full text Add to dashboard Cite

Cloud computing has changed the nature of IT and business. However the adoption issues for the cloud is mainly due to the lack of transparency and control. Also, there are too many cloud service providers in the marketplace offering similar functionalities. In order to support the consumers in identifying trustful cloud providers, Trustworthy mechanisms for selecting cloud service providers is proposed in this paper. The proposed system is implemented using feedbacks and credential attributes (QoS) of providers. A modified Identity model is proposed to identify malicious feedbacks and provides improvements in the trust computation. Results show that the trust computation using the proposed architecture is more efficient in terms of finding accurate trust based providers.

show abstract

“…According to Tewari et al (2013), web service become more popular, there are many factors like performance, reliability, security, availability, robustness, interoperability, scalability and other functional and non-functional factors which are emphasized more and made possible because of web services standards. Performance is the measure of response.…”

Section: Web Services Standardsmentioning

confidence: 99%

“…WSDL is also XML based language which provides the mechanism through which web services definitions are exposed to the world and to which Web services implementers need to conform when sending SOAP messages (Tewari et al, 2013). WSDL is an XML vocabulary for describing a web service.…”

Section: Web Services Description Language (Wsdl)mentioning

confidence: 99%

“…Web services are rapidly becoming the enabling technology of today's e-business systems. Web services are interoperable and loosely coupled components used for simplifying business processes over the Internet (Tewari, Thakar & Dagdee, 2013). Businesses use existing software components specified as services to perform business operations in a Service Oriented Architecture environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Standards in Web Services Security

Ratnasingam

2014

International Journal of Wireless Networks and Broadband Technologies

View full text Add to dashboard Cite

The Internet has provided an avenue for businesses to adopt web services. Web services promises scalability, agility, cost reduction, profitability and availability thereby meeting instant gratification needs of web users'. It refers to modular Internet-based business functions that perform specific business tasks to facilitate business interactions within and beyond the organization. While addressing web services benefits there have been discussions on the importance of its security. The security of web services has deeply influenced its development and is also one of the main reasons why web services have not been adopted widely. Therefore, this study aims to examine the impact of web services standards and how it facilitates web services security. We analyze security models in web based technologies from previous studies such as; in cloud computing and security as a service technologies to develop a framework of web services standards and its impact on web services security. We then discuss the theoretical and practical implications of web services security and directions for future research.

show abstract

Classifying Web Services based on QoS Parameters using Extended Dataset

Abstract: Web Services are the interoperable and loosely coupled components for simplifying business processes over the web and are popular model of distributed computing now a days.

Cited by 4 publications

References 6 publications

Research on improved algorithms for network performance prediction based on grey prediction model

Research on improved algorithms for network performance prediction based on grey prediction model

Trustworthy mechanisms for selecting cloud service providers

The Impact of Standards in Web Services Security

Contact Info

Product

Resources

About