The CASCADAS Framework for Autonomic Communications

Baresi, Luciano; Ferdinando, Antonio Di; Manzalini, Antonio; Zambonelli, Franco

doi:10.1007/978-0-387-09753-4_6

Cited by 19 publications

(11 citation statements)

References 24 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%

“…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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Section: Ac Methods In Service Ecosystemsmentioning

confidence: 99%

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

confidence: 99%

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

confidence: 99%

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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“…It has been generally agreed upon that autonomic architectures for managing current and future networks and services should be distributed for scalability reasons [7,8,9]. Distribution of autonomic components provides a means to keep up with the exploding growth of the number of network devices, services, and end-users.…”

Section: Introductionmentioning

confidence: 99%

A hierarchical approach to autonomic network management

Famaey

Latré

Strassner

et al. 2010

2010 IEEE/IFIP Network Operations and Management Symposium Workshops

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Abstract-Recently, the autonomic communication networks paradigm has been introduced as a solution to the increasing management complexity of communication networks in the Future Internet. In order to encompass the large-scale nature of these networks, a general consensus has been reached that the supporting autonomic management architectures should be distributed for scalability reasons. However, several open issues related to the distribution of autonomic components remain to be solved.In this paper, we propose a novel approach to structuring distributed autonomic components in large-scale communication networks. The approach is generic and can be applied to many existing autonomic architectures and control loops. The autonomic components are structured in a hierarchy, which simplifies the interaction between components, and allows them to manage resources and govern child components in a more scalable manner. In addition to giving a detailed description of the hierarchical architecture, the advantages of the proposed approach are validated through analytical evaluation results.

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