Record link: 
http://hdl.handle.net/20.500.12708/55174
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Title: 
Augmenting Complex Problem Solving with Hybrid Compute Units
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Citation: 
Truong, H.-L., Dam, H. K., Ghose, A., & Dustdar, S. (2014). Augmenting Complex Problem Solving with Hybrid Compute Units. In A. R. Lomuscio, S. Nepal, F. Patrizi, B. Benatallah, & I. Brandic (Eds.), Service-Oriented Computing--ICSOC 2013 Workshops (pp. 95–110). Springer. https://doi.org/10.1007/978-3-319-06859-6_9
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Publisher DOI: 
10.1007/978-3-319-06859-6_9
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Truong, Hong-Linh 
Dam, Hoa Khanh 
Ghose, Aditya 
Dustdar, Schahram 
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Organisational Unit: 
E194-02 - Forschungsbereich Distributed Systems 
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Published in: 
Service-Oriented Computing--ICSOC 2013 Workshops 
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ISBN: 
978-3-319-06859-6
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Volume: 
8377
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DOI of the book: 
10.1007/978-3-319-06859-6
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Date (published): 
2014
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Event name: 
9th International Workshop on Engineering Service-Oriented Applications (WESOA 2013) in conjunction with ICSOC 2013 
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Event date: 
2-Dec-2013 - 5-Dec-2013
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Event place: 
Berlin, Germany
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Number of Pages: 
16
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Publisher: 
Springer, Cham
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Peer reviewed: 
Yes
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Abstract: 
Combining software-based and human-based services is crucial for several complex problems that cannot be solved using software-based services alone. In this paper, we present novel methods for modeling and developing hybrid compute units of software-based and human-based services. We discuss high-level programming elements for different types of software- and humanbased service units and their relationships. In particular, we focus on novel programming elements reflecting hybridity, collectiveness and adaptiveness properties, such as elasticity and social connection dependencies, and on-demand and pay-per-use economic properties, such as cost, quality and benefits, for complex problem solving. Based on these programming elements, we present programming constructs and patterns for building complex applications using hybrid services.
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Project title: 
Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society: 600851 (European Commission) 
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Research Areas: 
Distributed and Parallel Systems: 95%
Computer Science Foundations: 5%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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