Repairing a Service Composition with Graph Embedding and Planning Graph in a Cloud-Edge Environment

Author:

Liu Tongyang1ORCID,Zhu Ming1ORCID,Li Jing1ORCID,Gao Zhihao1ORCID,Wang Chun2ORCID,Yan Yuhong2ORCID

Affiliation:

1. Shandong University of Technology, Zibo, China

2. Concordia University, Montreal, Canada

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference23 articles.

1. H. Cai V. W. Zheng and K. C. Chang. 2018. A comprehensive survey of graph embedding: Problems techniques and applications. IEEE transactions on knowledge and data engineering Vol. 30 9 (2018) 1616--1637. H. Cai V. W. Zheng and K. C. Chang. 2018. A comprehensive survey of graph embedding: Problems techniques and applications. IEEE transactions on knowledge and data engineering Vol. 30 9 (2018) 1616--1637.

2. G. Canfora , M. Di Penta , R. Esposito , and M. L. Villani . 2005. QoS-aware replanning of composite web services . In IEEE International Conference on Web Services (ICWS'05) . IEEE, 121--129. G. Canfora, M. Di Penta, R. Esposito, and M. L. Villani. 2005. QoS-aware replanning of composite web services. In IEEE International Conference on Web Services (ICWS'05). IEEE, 121--129.

3. A. Erradi , P. Maheshwari , and V. Tosic . 2006. Recovery policies for enhancing web services reliability . In 2006 IEEE International Conference on Web Services (ICWS'06) . IEEE, 189--196. A. Erradi, P. Maheshwari, and V. Tosic. 2006. Recovery policies for enhancing web services reliability. In 2006 IEEE International Conference on Web Services (ICWS'06). IEEE, 189--196.

4. A. Grover and J. Leskovec . 2016. node2vec: Scalable feature learning for networks . In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. 855--864 . A. Grover and J. Leskovec. 2016. node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. 855--864.

5. W. Hamilton Z. Ying and J. Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems Vol. 30 (2017). W. Hamilton Z. Ying and J. Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems Vol. 30 (2017).

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