Efficient algorithms for Web services selection with end-to-end QoS constraints

By Yue Zhang, Kwei-Jay Lin. TWEB, 2007

1,276 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/e2869204429cc7c63a49907cadd8bb68df4a0d36

How researchers see this paper

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

In Artificial Intelligence

1. Michael R. Lyu
2. Irwin King
3. Hao Ma
4. Zibin Zheng
5. Dimitrios Skoutas
6. Yilei Zhang
7. T. Risse
8. Mohammad Alrifai

In Information Systems

1. Michael R. Lyu
2. Zibin Zheng
3. Irwin King
4. Hao Ma
5. Yilei Zhang
6. Dimitrios Skoutas
7. T. Risse
8. Mohammad Alrifai

In Management Information Systems

1. Zibin Zheng
2. Michael R. Lyu
3. Yilei Zhang
4. T. Risse
5. Mohammad Alrifai

Citations in the corpus

• Distributed QoS Evaluation for Real-World Web Services (2010, background): “In the field of service computing [17], a lot of QoS driven approaches have been proposed for Web service selection [8, 4, 5, 15], optimal service composition [2, 3, 5, 16], fault tolerant Web services [7, 19], Web service recommendation [21], Web service reliability prediction [20], and so on.”
• Investigating QoS of Real-World Web Services (2014, background): “Local approaches [1], [7] select optimal web service for each abstract task independently, while global approaches [19], [7], [20] select a set of services that satisfy the process constraints and user preferences for the whole application together.”
• Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization (2013, background): “In the recent literature, a number of QoS-based approaches have been proposed for web service composition [2], [3], [4], web service selection [5], [6], [7], [8], fault-tolerant web services [9], and so on.”
• Selecting skyline services for QoS-based web service composition (2010, background): “In [21] th e authors propose heuristic algorithms that can be used to find a n ear-tooptimal solution more efficiently than exact solutions.”
• Combining global optimization with local selection for efficient QoS-aware service composition (2009, background): “In [23] the authors propose heuristic algorithms that can be used to find a near-to-optimal solution more efficiently than exact solutions.”
• Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors (2020, neutral): “Such a process is defined on the known data of a target matrix only and implemented through various optimization techniques [5], [8], [12]–[14], [18]–[21].”
• Collaborative reliability prediction of service-oriented systems (2010, background): “Similar to work [32], we assume that the alternative service candidates are available.”