A Formal Definition of Binary Topological Relationships
FOFO '89 Proceedings of the 3rd International Conference on Foundations of Data Organization and Algorithms
Decentralized orchestration of composite web services
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Decentralized Orchestration of CompositeWeb Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Orchestrating Data-Centric Workflows
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Towards Reference Passing in Web Service and Workflow-Based Applications
EDOC '09 Proceedings of the 2009 IEEE International Enterprise Distributed Object Computing Conference (edoc 2009)
Scientific workflow: a survey and research directions
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Decentralized Approach for Execution of Composite Web Services Using the Chemical Paradigm
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Towards an e-Infrastructure for Urban Research across Australia
ESCIENCE '11 Proceedings of the 2011 IEEE Seventh International Conference on eScience
The design of a flexible web-based analytical platform for urban research
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Direct data transfer between SOAP web services in orchestration
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Decentralized orchestration of data-centric workflows in Cloud environments
Future Generation Computer Systems
AusPDC '13 Proceedings of the Eleventh Australasian Symposium on Parallel and Distributed Computing - Volume 140
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Data-centric and service-oriented workflows are commonly used in scientific research to enable the composition and execution of complex analysis on distributed resources. Although there are a plethora of orchestration frameworks to implement workflows, most of them are not suitable to execute data-centric workflows. The main issue is transferring output of service invocations through a centralized orchestration engine to the next service in the workflow, which can be a bottleneck for the performance of a data-centric workflow. In this paper, we propose a flexible and lightweight workflow framework based on the Object Modeling Systems (OMS). Moreover, we take advantage of the OMS architecture to deploy and execute data-centric workflows in a decentralized manner to avoid passing through the centralized engine. The proposed framework is implemented in context of the Australian Urban Research Infrastructure Network (AURIN) project which is an initiative aiming to develop an e-Infrastructure supporting research in the urban and built environment research disciplines. Performance evaluation results using spatial data-centric workflows show that we can reduce 20% of the workflows execution time while using Cloud resources in the same network domain.