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Augmenting complex problem solving with hybrid compute units

Journal Article


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.

UOW Authors


  •   Truong, Hong-Linh (external author)
  •   Dam, Hoa
  •   Ghose, Aditya
  •   Dustdar, Schahram (external author)

Publication Date


  • 2014

Citation


  • Truong, H., Dam, H. Khanh., Ghose, A. & Dustdar, S. (2014). Augmenting complex problem solving with hybrid compute units. Lecture Notes in Computer Science, 8377 95-110.

Scopus Eid


  • 2-s2.0-84901365888

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2456

Has Global Citation Frequency


Number Of Pages


  • 15

Start Page


  • 95

End Page


  • 110

Volume


  • 8377

Place Of Publication


  • Germany

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.

UOW Authors


  •   Truong, Hong-Linh (external author)
  •   Dam, Hoa
  •   Ghose, Aditya
  •   Dustdar, Schahram (external author)

Publication Date


  • 2014

Citation


  • Truong, H., Dam, H. Khanh., Ghose, A. & Dustdar, S. (2014). Augmenting complex problem solving with hybrid compute units. Lecture Notes in Computer Science, 8377 95-110.

Scopus Eid


  • 2-s2.0-84901365888

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2456

Has Global Citation Frequency


Number Of Pages


  • 15

Start Page


  • 95

End Page


  • 110

Volume


  • 8377

Place Of Publication


  • Germany