DSOL: a declarative approach to self-adaptive service orchestrations-Reference-Cited by-同舟云学术

DSOL: a declarative approach to self-adaptive service orchestrations

Published:2012-03-29 Issue:7 Volume:94 Page:579-617
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Cugola Gianpaolo,Ghezzi Carlo,Pinto Leandro Sales

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-012-0194-z.pdf

Reference53 articles.

1. Erl T (2005) Service-oriented architecture: concepts, technology, and design. Prentice Hall PTR, Upper Saddle River

2. Alves A, Arkin A, Askary S, Bloch B, Curbera F, Goland Y, Kartha N, Liu CK, Konig D, Mehta V, Thatte S, van der Rijn D, Yendluri P, Yiu A (eds) (2006) Web Services Business Process Execution Language Version 2.0. Technical report, OASIS. http://www.oasis-open.org/apps/org/workgroup/wsbpel/

3. White SA (2008) Business Process Modeling Notation, V1.1. Technical report, OMG. http://www.bpmn.org/Documents/BPMN_1-1_Specification.pdf

4. Maigre R (2010) Survey of the tools for automating service composition. In: 2010 IEEE international conference on web services (ICWS), 2010, pp 628–629. doi: 10.1109/ICWS.2010.72

5. Rao J, Su X (2005) A survey of automated web service composition methods. In: LNCS, vol 3387. Springer, Berlin, pp 43–54

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows;Future Generation Computer Systems;2020-07

2. Towards a Multi-model Cloud Workflow Resource Monitoring, Adaptation, and Prediction;2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE);2018-08

3. Aspect-oriented challenges in system integration with microservices, SOA and IoT;Enterprise Information Systems;2018-04-10

4. An Architecture Framework for Orchestrating Context-Aware IT Ecosystems: A Case Study for Quantitative Evaluation;Sensors;2018-02-12

5. DYNAMIC CHOREOGRAPHIES: THEORY AND IMPLEMENTATION;LOG METH COMPUT SCI;2017