QoS Management of Web Services

verfasst von: Zibin Zheng, Michael R. Lyu

Verlag: Springer Berlin Heidelberg

Buchreihe : Advanced Topics in Science and Technology in China

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

Quality-of-Service (QoS) is normally used to describe the non-functional characteristics of Web services and as a criterion for evaluating different Web services. QoS Management of Web Services presents a new distributed QoS evaluation framework for these services. Moreover, three QoS prediction methods and two methods for creating fault-tolerant Web services are also proposed in this book. It not only provides the latest research results, but also presents an excellent overview of QoS management of Web sciences, making it a valuable resource for researchers and graduate students in service computing.

Zibin Zheng is an associate research fellow at the Shenzhen Research Institute, The Chinese University of Hong Kong, China. Professor Michael R. Lyu also works at the same institute.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction

Abstract

This chapter provides an overview of QoS management of Web services, including background introduction, contributions, and organizations of this book.

Zibin Zheng, Michael R. Lyu

Chapter 2. Background Review

Abstract

This chapter reviews related work, including QoS evaluation of Web services, QoS prediction of Web services, and fault-tolerant Web services.

Zibin Zheng, Michael R. Lyu

Chapter 3. QoS Evaluation of Web Services

Abstract

In order to achieve efficient Web service evaluation, this chapter proposes a distributed QoS evaluation framework for Web services. The proposed framework employs the concept of user collaboration, which is the key concept of Web 2.0. In our framework, users in different geographic locations share their observed Web service QoS information. The information is stored in a centralized server and will be reused for other users. Several large-scale distributed evaluations are conducted on real-world Web services, and detailed evaluation results are publicly released for future research.

Zibin Zheng, Michael R. Lyu

Chapter 4. Neighborhood-Based QoS Prediction of Web Services

Abstract

To accurately predict the Web service QoS values, this chapter proposes a neighborhood-based collaborative filtering approach for predicting the QoS values for the current user by employing historical Web service QoS data from other similar users. The proposed approach systematically combines the user-based approach and the item-based approach. Our approach requires no Web service invocations and can help service users discover suitable Web services by analyzing QoS information from their similar users.

Zibin Zheng, Michael R. Lyu

Chapter 5. Model-Based QoS Prediction of Web Services

Abstract

The neighborhood-based QoS prediction approach has several drawbacks, including (1) the computation complexity is too high and (2) it is not easy to find similar users/items when the user-item matrix is very sparse. To address these drawbacks, this chapter proposes a neighborhood-integrated matrix factorization (NIMF) approach for Web service QoS value prediction. Our approach explores the social wisdom of service users by systematically fusing the neighborhood-based and the model-based collaborative filtering approaches to achieve higher prediction accuracy.

Zibin Zheng, Michael R. Lyu

Chapter 6. Ranking-Based QoS Prediction of Web Services

Abstract

The neighborhood-based and model-based collaborative filtering approaches usually try to predict the missing values in the user-item matrix as accurately as possible. However, in the ranking-oriented scenarios, accurate missing value prediction may not lead to accurate ranking. To enable accurate Web service QoS ranking, we propose a ranking-based QoS prediction approach. The contributions of this chapter include the following: (1) identifying the critical problem of personalized quality ranking for Web services and proposing a collaborative QoS-driven quality ranking framework to achieve personalized Web service quality ranking and (2) conducting extensive real-world experiments to study the ranking performance of our proposed algorithm compared with other competing algorithms. The experimental results show the effectiveness of our approach.

Zibin Zheng, Michael R. Lyu

Chapter 7. QoS-Aware Fault Tolerance for Web Services

Abstract

The highly dynamic Internet environment makes traditional fault tolerance strategies difficult to be used in the service-oriented environment. In this chapter, we propose an adaptive fault tolerance strategy for Web services, which can determine the optimal fault tolerance strategy dynamically at runtime based on the user preference and service QoS.

Zibin Zheng, Michael R. Lyu

Chapter 8. QoS-Aware Selection Framework for Web Services

Abstract

This chapter aims at advancing the current state of the art in software fault tolerance for Web services by proposing a systematic and extensible framework. We propose a comprehensive fault tolerance strategy selection framework for systematic design, composition, and evaluation of service-oriented systems. Our framework determines optimal fault tolerance strategy dynamically based on the quality-of-service (QoS) performance of Web services as well as the preferences of service users.

Zibin Zheng, Michael R. Lyu

Chapter 9. Conclusion and Future Work

Abstract

This chapter concludes this book and discusses the future work.

Zibin Zheng, Michael R. Lyu

Erratum

Zibin Zheng, Michael R. Lyu

Backmatter

Titel: QoS Management of Web Services
verfasst von: Zibin Zheng
Michael R. Lyu
Verlag: Springer Berlin Heidelberg
Electronic ISBN: 978-3-642-34207-3
Print ISBN: 978-3-642-34206-6
DOI: https://doi.org/10.1007/978-3-642-34207-3