QoS Issues in Web Services

By D. Menascé. IEEE Internet Computing, 2002

888 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/e9ca4819bf532738ef3cef8a8345bae96c5167d3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Michael R. Lyu
2. Zibin Zheng
3. Hao Ma
4. Yilei Zhang
5. Irwin King
6. Eyhab Al-Masri
7. Jia Guo
8. Ing-Ray Chen

In Information Systems

1. Michael R. Lyu
2. Zibin Zheng
3. Irwin King
4. Hao Ma
5. Yilei Zhang
6. Eyhab Al-Masri
7. Jia Guo
8. Ing-Ray Chen

Citations in the corpus

• Trust Management for SOA-Based IoT and Its Application to Service Composition (2016, background): “A similar concept to the social contact relationship is proposed in [20], where familiar strangers are identified based on colocation information in urban transport environments for media sharing.”
• A framework for QoS-aware binding and re-binding of composite web services (2008, background): “Problem encoding in the chromosome a constant-size population, represented by a finite string of symbols, named thechromosome.”
• Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization (2013, background): “Web services QoS has been widely discussed in a number of research investigations [26], [27], [28], [29], [30].”
• QoS computation and policing in dynamic web service selection (2004, background): “Currently, most approaches that deal with QoS of web services only address some generic dimensions such as price, execution duration, availability and reliability [12, 6].”
• QoS aggregation for Web service composition using workflow patterns (2004, background): “Menasce [14], which also addresses the aggregation of QOS dimensions, or in [10].”
• Adaptive Service Composition in Flexible Processes (2007, background): “First generation solutions implemented local approaches [26], [35], [3], which select Web services one at the time by associating the running abstract activity to the best candidate service which supports its execution.”
• QoS-based Discovery and Ranking of Web Services (2007, methodology): “Other approaches focused on using QoS computation and policing for improving the selection of Web services [8,9], developing a middleware for enhancing Web service composition for monitoring metrics of QoS for Web services [10], using agents based on distributed reputation metric models [11], and us”
• Investigating QoS of Real-World Web Services (2014, background): “On the other hand, values of the user-observed QoS properties (e.g., user-observed response time, throughput, failure probability) can vary widely for different users, influenced by the unpredictable Internet connections and the heterogeneous user environments [1].”
• Distributed QoS Evaluation for Real-World Web Services (2010, background): “Quality-of-Service (QoS), which is usually employed for describing the non-functional characteristics of Web services, has become an important differentiating point of different Web services [10].”