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.
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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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Truong, HL., Dustdar, S. (2015). Context-Aware Programming for Hybrid and Diversity-Aware Collective Adaptive Systems. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_13
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DOI: https://doi.org/10.1007/978-3-319-15895-2_13
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