The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Investigating QoS of Real-World Web Services
Abstract
Quality of service (QoS) is widely employed for describing nonfunctional characteristics of web services. Although QoS of web services has been investigated intensively in the field of service computing, there is a lack of real-world web service QoS data sets for validating various QoS-based techniques and models. To investigate QoS of real-world web services and to provide reusable research data sets for future research, we conduct several large-scale evaluations on real-world web services. First, addresses of 21,358 web services are obtained from the Internet. Then, three large-scale real-world evaluations are conducted. In our evaluations, more than 30 million real-world web service invocations are conducted on web services in more than 80 countries by users from more than 30 counties. Detailed evaluation results are presented in this paper and comprehensive web service QoS data sets are publicly released online.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QoS-aware middleware for Web services composition
Zeng, L., Benatallah, B., Ngu, A. H. H., Dumas, M., Kalagnanam, J., & Chang, H. (2004) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2004.11 · Cited by 2,757
Adaptive Service Composition in Flexible Processes
Ardagna, D., & Pernici, B. (2007) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.1011 · Cited by 871
QoS-Aware Web Service Recommendation by Collaborative Filtering
Zheng, Z., Ma, H., Lyu, M. R., & King, I. (2011) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2010.52 · Cited by 805
Self-citationInvestigating web services on the world wide web
Al‐Masri, E., & Mahmoud, Q. H. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367605 · Cited by 622
Personalized QoS Prediction forWeb Services via Collaborative Filtering
Shao, L., Zhang, J., Wei, Y., Zhao, J., Xie, B., & Mei, H. (2007) · IEEE International Conference on Web Services (ICWS 2007) · doi:10.1109/icws.2007.140 · Cited by 463
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
Zheng, Z., Ma, H., Lyu, M. R., & King, I. (2013) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2011.59 · Cited by 443
Self-citationDistributed QoS Evaluation for Real-World Web Services
Zheng, Z., Zhang, Y., & Lyu, M. R. (2010) · 2010 IEEE International Conference on Web Services · doi:10.1109/icws.2010.10 · Cited by 366
Self-citation(2012) · Fundamentals of Dependable Computing for Software Engineers · doi:10.1201/b11667-14 · Cited by 319
Personalized QoS-Aware Web Service Recommendation and Visualization
Chen, X., Zheng, Z., Liu, X., Huang, Z., & Sun, H. (2013) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2011.35 · Cited by 184
Self-citationWSExpress: A QoS-aware Search Engine for Web Services
Zhang, Y., Zheng, Z., & Lyu, M. R.-T. (2010) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2010.20 · Cited by 124
Self-citation
Cited by
Gong, W., Qi, L., & Xu, Y. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/3075849 · Cited by 166
Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning Approach
Ateeq, M., Ishmanov, F., Afzal, M. K., & Naeem, M. (2019) · Sensors · doi:10.3390/s19020309 · Cited by 40
Metadata
- Authors
- Zheng, Z., Zhang, Y., & Lyu, M. R.
- Venue
- IEEE Transactions on Services Computing
- Published
- 2014-01
- Volume
- 7
- Issue
- 1
- Pages
- 32-39
- ISSN
- 1939-1374 (ISSN-L)
- OpenAlex
- W2060017308
- Cited by
- 444
- References
- 17
- FWCI
- 33.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Investigating QoS of Real-World Web Services. https://app.cochat.ai/papers/10.1109/tsc.2012.34
- The paper
- Zheng, Z., Zhang, Y., & Lyu, M. R. (2014). Investigating QoS of Real-World Web Services. IEEE Transactions on Services Computing. https://doi.org/10.1109/tsc.2012.34
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
