A Self-organizing Architecture for Pervasive Ecosystems

Villalba, Cynthia; Mamei, Marco; Zambonelli, Franco

doi:10.1007/978-3-642-14412-7_13

Cited by 6 publications

(20 citation statements)

References 26 publications

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“…The problem of modeling ecosystems similar to this one, /their individuals/the space in which the individuals reside and their laws was approached in various ways [4]. Physical metaphors view individuals as computational particles, therefore limiting the number of behaviors possible to enforce.…”

Section: Figure 2 Factory Automation System Layoutmentioning

confidence: 99%

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Applicability of market-based competition models for energy efficient factory automation systems

Postelnicu

Lastra

2012

IEEE 10th International Conference on Industrial Informatics

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T h i s p a p e r a n a l y z e s t h e a p p l i c a b i l i t y o f t w o economy competition models (namely, Cournot and Bertrand) to analyze smart factory automation systems. The manufacturing setting considered includes players from both the Manufacturing Execution Systems (MES) layer -machines and transportation devices -and the Enterprise Resource Planning (ERP) layer -energy providers and lighting systems. All actors act both as providers and requestors of energy relevant services. An answer is attempted to several questions raised in the presented context (What is price/cost? What are the services provided / requested? Who are the price setters? Who makes profit in the discussed setting?). Many other questions remain open for further research. The intention is to provide initial guidelines for simulation / implementation of the proposed approach in a real factory automation setting.

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Section: Figure 2 Factory Automation System Layoutmentioning

confidence: 99%

“…It has been advocated [1][3] that to support the self adaptability and evolvability that are so much desired in such systems, interaction patterns between system components must be fluid [4] i.e. they should exhibit selforganizations based on the current needs, component status and context/environment.…”

Section: Introductionmentioning

confidence: 99%

Applicability of market-based competition models for energy efficient factory automation systems

Postelnicu

Lastra

2012

IEEE 10th International Conference on Industrial Informatics

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“…Digital foods are resources individuals must consume to survive and prosper [3], including data, memory space, and processing cycles. Here, "consume" means various things: data may remain available without change, memory may be freed later, and processing cycles may be replenished.…”

Section: The 8 Key Concepts Of the Digital Ecosystemmentioning

confidence: 99%

“…Many researchers describe digital ecosystems [2][3][4][5], defined as ecosystems formed by computing resources (e.g. devices, services, data), in order to acquire new perspectives on information systems.…”

Section: Introductionmentioning

confidence: 99%

Foundation of a New Digital Ecosystem for u-Content: Needs, Definition, and Design

Oh¹,

Duval²,

Kim³

et al. 2011

Lecture Notes in Computer Science

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In this paper, we analyze and classify digital ecosystems to demonstrate the need for a new digital ecosystem, oriented towards contents for ubiquitous virtual reality (U-VR), and to identify appropriate designs. First, we survey the digital ecosystems, explore their differences, identify unmet challenges, and consider their appropriateness for emerging services tightly linking real and virtual (i.e. digital) spaces. Second, we define a new type of content ecosystem (u-Content ecosystem) and describe its necessary and desirable features. Finally, the results of our analysis show that our proposed ecosystem surpasses the existing ecosystems for U-VR applications and contents.

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“…This way, a component can be considered as an autonomous and self-aware entity, relying solely on its local data, which are modified in the background by the runtime framework according to the implicit component bindings. Similar to self-organizing architectures [8], such bindings facilitate dynamic forming of implicit groups -ensembles -of autonomous components.…”

Section: Introductionmentioning

confidence: 99%

Towards Dependable Emergent Ensembles of Components: The DEECo Component Model

Keznikl

Bureš

Plasil

et al. 2012

2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture

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In the domain of dynamically evolving distributed systems composed of autonomous and (self-) adaptive components, the task of systematically managing the design complexity of their communication and composition is a pressing issue. This stems from the dynamic nature of such systems, where components and their bindings may appear and disappear without anticipation. To address this challenge, we propose employing separation of concerns via a mechanism of dynamic implicit bindings with implicit communication. This way, we strive for dynamically formed, implicitly interacting groupsensembles -of autonomous components. In this context, we introduce the DEECo component model, where such bindings, as well as the associated communication, are managed in an automated way, enabling transparent handling of the dynamic changes in the system.

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A Self-organizing Architecture for Pervasive Ecosystems

Cited by 6 publications

References 26 publications

Applicability of market-based competition models for energy efficient factory automation systems

Applicability of market-based competition models for energy efficient factory automation systems

Foundation of a New Digital Ecosystem for u-Content: Needs, Definition, and Design

Towards Dependable Emergent Ensembles of Components: The DEECo Component Model

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