Service-oriented workflows are typically executed using a centralised orchestration approach that presents significant scalability challenges. These challenges include the consumption of network bandwidth, degradation of performance, and single-points of failure. We provide a decentralised orchestration architecture that attempts to address these challenges. Our architecture adopts a design model that permits the computation to be moved "closer" to services in a workflow. This is achieved by partitioning workflows specified using our simple dataflow language into smaller fragments, which may be sent to remote locations for execution.
@article{arxiv.1305.1842,
title = {An Architecture for Decentralised Orchestration of Web Service Workflows},
author = {Ward Jaradat and Alan Dearle and Adam Barker},
journal= {arXiv preprint arXiv:1305.1842},
year = {2013}
}
Comments
To appear in Proceedings of the IEEE 20th International Conference on Web Services (ICWS 2013)