Autonomic Nature-Inspired Eco-systems

Manzalini, Antonio; Brgulja, Nermin; Moiso, Corrado; Minerva, Roberto

doi:10.1007/978-3-642-28525-7_6

Cited by 8 publications

(9 citation statements)

References 31 publications

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“…• SAPERE [15][16][17][18][19][20] • CASCADAS [21][22][23] • BIONETS [24][25][26][27] • service reconfiguration for service ecosystems [80]. Figure 5 and Table 3 provide a comparison of these four primary methods.…”

Section: Ac Methods In Service Ecosystemsmentioning

confidence: 99%

“…On the other hand, bottom-up approaches (e.g., nature-inspired or bio-inspired approaches [21]) are used to achieve functionalities via spontaneous self-organization [17]. Both these approaches are beneficial where a top-down approach can be used to engineer specific local functionalities while the latter can be adopted to engineer large-scale behaviors.…”

Section: Top-down Versus Bottom-up Approachesmentioning

confidence: 99%

“…Adaptable Services) [21][22][23], the authors introduce a model of an autonomic component to support the evolution of the ecosystem through self-awareness and self-organization. The architecture of the ecosystem is based on distributed autonomic components called autonomic communication elements (ACE).…”

Section: In the Eu Project Cascadas (Component-ware For Autonomic Sitmentioning

confidence: 99%

“…These state machines include rules for modifying them to adapt ACE behavior to the changes of internal and environmental conditions. Explicit support for quality attributes has not been mentioned in [21][22][23], but evolvability of the ecosystem is provided by programming the self-model of the ACEs. Using experiments, the authors have shown that the ACE architecture is scalable in several dimensions, such as memory, threads and communication delay.…”

Section: In the Eu Project Cascadas (Component-ware For Autonomic Sitmentioning

confidence: 99%

“…In recent years, several methods and techniques have been proposed to exploit the benefits of the AC initiative in service-oriented ecosystems, for example, SAPERE [15][16][17][18][19][20], CASCADAS [21][22][23] and BIONETS [24][25][26][27]. However, very little work has applied the AC initiative in the DSEs domain [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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A survey of autonomic computing methods in digital service ecosystems

Abeywickrama

Ovaska

2016

SOCA

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Service engineering of digital service ecosystems can be associated with several challenges, such as change and evolution of requirements; gathering of quality requirements and assessment; and uncertainty caused by dynamic nature and unknown deployment environment, composition and users. Therefore, the complexity and dynamics in which these digital services are deployed call for solutions to make them autonomic. Until now there has been no upto-date review of the scientific literature on the application of the autonomic computing initiative in the digital service ecosystems domain. This article presents a review and comparison of autonomic computing methods in digital service ecosystems from the perspective of service engineering, i.e., requirements engineering and architecting of services. The review is based on systematic queries in four leading scientific databases and Google Scholar, and it is organized in four thematic research areas. A comparison framework has been defined which can be used as a guide for comparing the different methods selected. The goal is to discover which methods are suitable for the service engineering of digital service ecosystems with autonomic computing capabilities, highlight what the shortcomings of the methods are, and identify which research activities need to be conducted in order to overcome these shortcomings. The comparison reveals that none of the existing methods entirely fulfills the requirements that are defined in the comparison framework.B Dhaminda B. Abeywickrama

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