Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system

Mahfoudh, Houssem Ben; Serugendo, Giovanna Di Marzo; Naja, Nabil; Abdennadher, Nabil

doi:10.1007/s10009-020-00557-0

Cited by 10 publications

(11 citation statements)

References 28 publications

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“…The paper in this special section "Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system" [50] by Houssem Ben Mahfoudh, Giovanna Di Marzo Serugendo, Nabil Naja, and Nabil Abdennadher studies decentralised services which are built and composed on-demand and arise from the interaction of multiple sensors and devices. The bio-inspired SAPERE coordination model [75] is extended to a learningbased coordination model which accommodates spontaneous self-composition of services in fully distributed scenarios using multiple nodes.…”

Section: Methods Based On Feedback Control Loopsmentioning

confidence: 99%

Rigorous engineering of collective adaptive systems: special section

Nicola

Jähnichen

Wirsing

2020

Int J Softw Tools Technol Transfer

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An adaptive system is able to adapt at runtime to dynamically changing environments and to new requirements. Adaptive systems can be single adaptive entities or collective ones that consist of several collaborating entities. Rigorous engineering requires appropriate methods and tools that help guaranteeing that an adaptive system lives up to its intended purpose. This paper introduces the special section on "Rigorous Engineering of Collective Adaptive Systems." It presents the seven contributions of the section and gives a short overview of the field of rigorously engineering collective adaptive systems by structuring it according to three topics: systematic development, methods and theories for modelling and analysis, and techniques for programming and operating collective adaptive systems.

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Section: Methods Based On Feedback Control Loopsmentioning

confidence: 99%

Rigorous engineering of collective adaptive systems: special section

Nicola

Jähnichen

Wirsing

2020

Int J Softw Tools Technol Transfer

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“…Our vision of self-organizing software models is depicted in Figure 1. Although we use a port-based composite for illustrative purposes, other software compositions can emerge as a result of self-organizing component interactions, such as serviceoriented workflows [12], [13] or algebraic compositions [14], [15]. In any case, emergent composites lie on top of a three-layer IoT view, physical objects (known as things) are situated at the bottom and self-organizing interactions occur in the middle.…”

Section: What Is a Self-organizing Software Model?mentioning

confidence: 99%

“…However, most of this work has been done from the perspective of general systems engineering (e.g., [18]) rather than from a software engineering viewpoint. Just a few works have been devised in the context of self-organizing software models [12], [13], [19]- [22].…”

Section: Why Self-organizing Software Models?mentioning

confidence: 99%

Self-Organizing Software Models for the Internet of Things: Complex Software Structures That Emerge Without a Central Controller

Arellanes

2021

IEEE Syst. Man Cybern. Mag.

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The Internet of Things (IoT) envisions the integration of physical objects into software systems for automating crucial aspects of our lives, such as healthcare, security, agriculture, and city management. Although the vision is promising, with the rapid advancement of hardware and communication technologies, IoT systems are becoming increasingly dynamic, large, and complex to the extent that manual management becomes infeasible. Thus, it is of paramount importance to provide software engineering foundations for constructing autonomic IoT systems. In this paper, we introduce a novel paradigm referred to as self-organizing software models in which IoT software systems are not explicitly programmed, but emerge in a decentralized manner during system operation, with minimal or without human intervention. We particularly present an overview of these models by including their definition, motivation, research challenges, and potential directions.

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“…My vision of self-organizing software models is depicted in Figure 1. Although I use a portbased composite for illustrative purposes, other software compositions can emerge as a result of self-organizing component interactions, such as serviceoriented workflows [9], [10] or DX-MAN compositions [11], [12]. In any case, emergent composites lie on top of a three-layer IoT view, physical objects (known as things) are situated at the bottom and selforganizing interactions occur in the middle.…”

mentioning

confidence: 99%

“…However, most of this work has been done from the perspective of general systems engineering (e.g., [14]) rather than from a software engineering viewpoint. Just a few works have been devised in the context of self-organizing software models [9], [10], [15]- [17].…”

mentioning

confidence: 99%

Self-Organizing Software Models for the Internet of Things

Arellanes

2020

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) envisions the integration of physical objects into software systems for automating crucial aspects of our lives, such as healthcare, security, agriculture, and city management. Although the vision is promising, with the rapid advancement of hardware and communication technologies, IoT systems are becoming increasingly dynamic, large, and complex to the extent that manual management becomes infeasible. Thus, it is of paramount importance to provide software engineering foundations for constructing autonomic IoT systems. In this paper, I introduce a novel paradigm referred to as self-organizing software models in which IoT software systems are not explicitly programmed, but emerge in a decentralized manner during system operation, with minimal or without human intervention. I particularly present an overview of those models by including their definition, motivation, research challenges, and potential directions.

show abstract

Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system

Cited by 10 publications

References 28 publications

Rigorous engineering of collective adaptive systems: special section

Rigorous engineering of collective adaptive systems: special section

Self-Organizing Software Models for the Internet of Things: Complex Software Structures That Emerge Without a Central Controller

Self-Organizing Software Models for the Internet of Things

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