Enacting Emergent Configurations in the IoT Through Domain Objects

Alkhabbas, Fahed; Sanctis, Martina De; Spalazzese, Romina; Bucchiarone, Antonio; Davidsson, Paul; Marconi, Annapaola

doi:10.1007/978-3-030-03596-9_19

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…Although the fragments discovery and selection is currently functional, the presented approach has been recently extended to include a QoS-driven service selection and composition [53]. Promising results have been obtained in the IoT scenario of [16].…”

Section: Critical Discussionmentioning

confidence: 99%

“…We can argue that the automatic refinement responsiveness is equivalent to that of mobility services. Eventually, extended experimental results have been obtained in [16] where the presented approach has been used to realize an application in the IoT domain, where devices (e.g., sensors and actuators) act as service providers. To analyze the scalability of the approach, we measured the overall execution time of the application by considering up to 100 devices.…”

Section: Atlas Evaluationmentioning

confidence: 99%

“…Eventually, we specify that the approach is domainindependent and it can be applied in multiple domains (e.g., logistic, traveling, entertainment, smart environments). Notably, in [16] its has been applied in the IoT domain. Nonetheless, in this article we only focus on a scenario belonging to the IoS domain.…”

Section: Overview Of the Approachmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic adaptation of service-based applications: a design for adaptation approach

Sanctis

Bucchiarone

Marconi

2020

J Internet Serv Appl

Self Cite

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A key challenge posed by the Next Generation Internet landscape is that modern service-based applications need to cope with open and continuously evolving environments and to operate under dynamic circumstances (e.g., changes in the users requirements, changes in the availability of resources). Indeed, dynamically discover, select and compose the appropriate services in such environment is a challenging task. Self-adaptation approaches represent effective instruments to tackle this issue, because they allow applications to adapt their behaviours based on their execution environment. Unfortunately, although existing approaches support run-time adaptation, they tend to foresee the adaptation requirements and related solutions at design-time, while working under a "closed-world" assumption. In this article our objective is that of providing a new way of approaching the design, operation and run-time adaptation of service-based applications, by considering the adaptivity as an intrinsic characteristic of applications and from the earliest stages of their development. We propose a novel design for adaptation approach implementing a complete lifecycle for the continuous development and deployment of service-based applications, by facilitating (i) the continuous integration of new services that can easily join the application, and (ii) the operation of applications under dynamic circumstances, to face the openness and dynamicity of the environment. The proposed approach has been implemented and evaluated in a real-world case study in the mobility domain. Experimental results demonstrate the effectiveness of our approach and its practical applicability.

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Section: Critical Discussionmentioning

confidence: 99%

Section: Atlas Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic adaptation of service-based applications: a design for adaptation approach

Sanctis

Bucchiarone

Marconi

2020

J Internet Serv Appl

Self Cite

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“…In previous studies, we proposed the IoT-FED approach [38] for enabling the dynamic formation and enactment of ECs. We also proposed the ECo-IoT [3] approach for enabling the dynamic formation and adaptation of ECs.…”

Section: Related Workmentioning

confidence: 99%

An Agent-Based Approach to Realize Emergent Configurations in the Internet of Things

2020

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The Internet of Things (IoT) has enabled physical objects and devices, often referred to as things, to connect and communicate. This has opened up for the development of novel types of services that improve the quality of our daily lives. The dynamicity and uncertainty of IoT environments, including the mobility of users and devices, make it hard to foresee at design time available things and services. Further, users should be able to achieve their goals seamlessly in arbitrary environments. To address these challenges, we exploit Artificial Intelligence (AI) to engineer smart IoT systems that can achieve user goals and cope with the dynamicity and uncertainty of their environments. More specifically, the main contribution of this paper is an approach that leverages the notion of Belief-Desire-Intention agents and Machine Learning (ML) techniques to realize Emergent Configurations (ECs) in the IoT. An EC is an IoT system composed of a dynamic set of things that connect and cooperate temporarily to achieve a user goal. The approach enables the distributed formation, enactment, adaptation of ECs, and conflict resolution among them. We present a conceptual model of the entities of the approach, its underlying processes, and the guidelines for using it. Moreover, we report about the simulations conducted to validate the feasibility of the approach and evaluate its scalability.

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“…[14] shows how to use Answer Set Programming (ASP) techniques to represent configuration scenarios for basic applications in the IoT. [1] proposes an approach that makes a set of things connect and cooperate temporarily to achieve a user goal. [24] presents a formal approach for the decomposition of process-aware applications to be deployed in IoT environments.…”

Section: Related Workmentioning

confidence: 99%

Automated Composition, Analysis and Deployment of IoT Applications

Durán¹,

Salaün²,

Krishna³

2019

Software Technology: Methods and Tools

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Building IoT applications of added-value from a set of available devices with minimal human intervention is one of the main challenges facing the IoT. This is a difficult task that requires models for specifying objects, in addition to user-friendly and reliable composition techniques which in turn prevent the design of erroneous applications. In this work, we tackle this problem by first describing IoT applications using abstract models obtained from existing models of concrete devices. Then, we propose automated techniques for building compositions of devices using a repository of available devices, and an abstract goal of what the user expects from such compositions. Since the number of possible solutions can be quite high, we use both filtering and ranking techniques to provide the most pertinent solutions to users. The provided solutions satisfy the given goal and may be analysed with respect to properties such as deadlock-freeness or unmatched send messages. Finally, the application can be deployed using existing execution engines.

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Enacting Emergent Configurations in the IoT Through Domain Objects

Cited by 10 publications

References 27 publications

Dynamic adaptation of service-based applications: a design for adaptation approach

Dynamic adaptation of service-based applications: a design for adaptation approach

An Agent-Based Approach to Realize Emergent Configurations in the Internet of Things

Automated Composition, Analysis and Deployment of IoT Applications

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