2019
DOI: 10.1007/s12599-019-00627-x
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A Case for a New IT Ecosystem: On-The-Fly Computing

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Cited by 11 publications
(4 citation statements)
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“…There are also more or less pronounced similarities to other researchbased approaches, although the exact technical concepts and procedures are not usually adopted. This is true, for example, of design constructs from research on 'visual programming' (e.g., Costagliola et al 2004;Ingalls et al 1988), technical concepts to support 'weaving' reusable services into customized ones (e.g., Besova et al 2012;Bergel and Fabry 2009), and the more recent vision of 'onthe-fly computing' (Karl et al 2020). Remarkably, other well-known lines of investigation have been ignored altogether.…”
Section: Discussion and Assessmentmentioning
confidence: 99%
“…There are also more or less pronounced similarities to other researchbased approaches, although the exact technical concepts and procedures are not usually adopted. This is true, for example, of design constructs from research on 'visual programming' (e.g., Costagliola et al 2004;Ingalls et al 1988), technical concepts to support 'weaving' reusable services into customized ones (e.g., Besova et al 2012;Bergel and Fabry 2009), and the more recent vision of 'onthe-fly computing' (Karl et al 2020). Remarkably, other well-known lines of investigation have been ignored altogether.…”
Section: Discussion and Assessmentmentioning
confidence: 99%
“…support for IoT/CPS capabilities composition/decomposition through their enabled properties. The motivations include: a) the ability to address the composition of functional, business, human, trustworthiness, timing, data, boundaries, composition, and lifecycle concerns of an IoT or a CPS, and b) taking into consideration the complexity, discoverability, adaptability, and constructivity of the composite capabilities [38][39] [40]; c) enabling computation distribution of computation-intensive services running in cloud nodes to low computation nodes at the Fog/Edge level [252]; d) addressing composite services functional and qualitative properties during runtime to enable flexible and adaptable compositions [42] and e) incorporating composition-friendly ontologies and composition mechanisms in distributed environments through hierarchical structures such as classes and subclasses [35][36] [220]; f) providing automatic composition mechanisms to build modular software capabilities and from heterogeneous service marketplaces and locations [37] [221] [222] [223] [225]; g) enabling reusability of small, atomic, reusable components through decomposition [252] [252] [29]; and h) guiding atomic service discovery, selection, and complex services prototyping and composition in the cloud environments [252] [41] [40]. Figure 12 summarizes the motivations above.…”
Section: Data Training and Compositionmentioning
confidence: 99%
“…Ebel et al 2016), existing delivery pipelines in the Devops area (e.g. Alt et al 2019) and initiatives like on-the-fly computing (Karl et al 2019). The latter "refers to the approach of providing complex IT services through largely automated configuration and execution […] by different software providers and traded in a market" (Karl et al 2019).…”
Section: Sourcementioning
confidence: 99%
“…Alt et al 2019) and initiatives like on-the-fly computing (Karl et al 2019). The latter "refers to the approach of providing complex IT services through largely automated configuration and execution […] by different software providers and traded in a market" (Karl et al 2019). Electronic markets could provide the platform for enabling service compositions that may be changed at runtime to match user requirements without requiring deep programming skills on behalf of the users.…”
Section: Sourcementioning
confidence: 99%