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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 23 / Book One

HTN Planning for the Composition of Stream Processing Applications

February 1, 2023

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Authors

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov

IBM T. J. Watson Research Center,IBM T. J. Watson Research Center,IBM T. J. Watson Research Center,IBM T. J. Watson Research Center


DOI:

10.1609/icaps.v23i1.13583


Abstract:

Goal-driven automated composition of software components is an important problem with applications in Web service composition and stream processing systems. The popular approach to address this problem is to build the composition automatically using AI planning. However, it is shown that some of these planning approaches may neither be feasible nor scalable for many large-scale flow-based applications. Recent advances have proven that the automated composition problem can take advantage of expert knowledge describing the many ways in which different reusable components can be composed. This knowledge can be represented using an extensible composition template or pattern. In prior work, a flow pattern language called Cascade and its corresponding specialized planner have shown the best performance in these domains. In this paper, we propose the use of Hierarchical Task Network (HTN) planning for the composition of stream processing applications. To this end, we propose an automated approach of creating an HTN-based problem from the Cascade representation of the flow patterns. The resulting technique not only allows us to use the HTN planning paradigm and its many advantages including added expressivity but also enables optimization and customization of composition with respect to preferences and constraints. Further, we propose and develop a lookahead heuristic and show that it significantly reduces the planning time. We have performed extensive experimentation with stream processing applications and evaluated applicability and performance of our approach.

Topics: ICAPS

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HOW TO CITE:

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov HTN Planning for the Composition of Stream Processing Applications Proceedings of the International Conference on Automated Planning and Scheduling, 23 (2013) 443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov HTN Planning for the Composition of Stream Processing Applications ICAPS 2013, 443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov (2013). HTN Planning for the Composition of Stream Processing Applications. Proceedings of the International Conference on Automated Planning and Scheduling, 23, 443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. HTN Planning for the Composition of Stream Processing Applications. Proceedings of the International Conference on Automated Planning and Scheduling, 23 2013 p.443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. 2013. HTN Planning for the Composition of Stream Processing Applications. "Proceedings of the International Conference on Automated Planning and Scheduling, 23". 443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. (2013) "HTN Planning for the Composition of Stream Processing Applications", Proceedings of the International Conference on Automated Planning and Scheduling, 23, p.443-451

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov, "HTN Planning for the Composition of Stream Processing Applications", ICAPS, p.443-451, 2013.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. "HTN Planning for the Composition of Stream Processing Applications". Proceedings of the International Conference on Automated Planning and Scheduling, 23, 2013, p.443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. "HTN Planning for the Composition of Stream Processing Applications". Proceedings of the International Conference on Automated Planning and Scheduling, 23, (2013): 443-451.

Shirin Sohrabi,Octavian Udrea,Anand Ranganathan,Anton Riabov. HTN Planning for the Composition of Stream Processing Applications. ICAPS[Internet]. 2013[cited 2023]; 443-451.


ISSN: 2334-0843


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