Published: October 31, 2019
Boonserm Kulvatunyou, Yunsu Lee, Minchul Lee, Yun Peng, Nenad Ivezic
Currently, software and hardware are being virtualized and offered as services on the internet. Companies have an opportunity to improve their workflow by composing these services that best suitable their requirements from both quality and cost objectives. However, as more services become available computer-aided services discovery and composition become essential. Traditional service representation and planning algorithms still have gaps to be filled, particularly related to consideration of non-functional characteristics, large number of similar operators (i.e., services), and limited number of objects (i.e., inputs and outputs per service). This paper analyzes existing works in automatic services composition, service representation and planning algorithm and proposes a new framework to fill those gaps. It proofs that the proposed framework provides an admissible heuristic based on cost estimation that guarantee a minimum cost solution, if one exists.
Citation: International Journal of Services Operations and Informatics
Pub Type: Journals
automatic services composition, graph-based planning, smart manufacturing, service representation, function representation, AND/OR graph search
Created October 31, 2019, Updated September 24, 2019