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Context-Aware Programming for Hybrid and Diversity-Aware Collective Adaptive Systems

  • Hong-Linh Truong
  • Schahram Dustdar
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 202)

Abstract

Collective adaptive systems (CASs) have been researched intensively since many years. However, the recent emerging developments and advanced models in service-oriented computing, cloud computing and human computation have fostered several new forms of CASs. Among them, Hybrid and Diversity-aware CASs (HDA-CASs) characterize new types of CASs in which a collective is composed of hybrid machines and humans that collaborate together with different complementary roles. This emerging HDA-CAS poses several research challenges in terms of programming, management and provisioning. In this paper, we investigate the main issues in programming HDA-CASs. First, we analyze context characterizing HDA-CASs. Second, we propose to use the concept of hybrid compute units to implement HDA-CASs that can be elastic. We call this type of HDA-CASs \(h^2\) CAS (Hybrid Compute Unit-based HDA-CAS). We then discuss a meta-view of \(h^2\) CAS  that describes a \(h^2\) CAS  program. We analyze and present program features for \(h^2\) CAS  in four main different contexts.

Keywords

Programming Feature Task Graph Service Unit Task Context Independent Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank Muhammad Z. C. Candra, Mirela Riveni, Ognjen Scekic and Vincenzo (Enzo) Maltese for fruitful discussions on hybrid compute units, elasticity, and collective adaptive systems. The work mentioned in this paper is partially supported by the EU FP7 SmartSociety project under grant \(N^{\circ }\) 600854.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Distributed Systems GroupVienna University of TechnologyViennaAustria

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