Using Models at Runtime to Adapt Self-managed Agents for the IoT

Ayala, Inmaculada; Horcas, José-Miguel; Amor, Mercedes; Fuentes, Lidia

doi:10.1007/978-3-319-45889-2_12

Cited by 8 publications

(11 citation statements)

References 22 publications

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“…In a previous contribution, we introduced a goal-oriented self-adaptation approach based on DSPL for agents in the IoT [6] that uses preference-based reasoning for plan selection. However, the focus on agent architectures hindered the applicability of the approach due to the immaturity of agent technologies, the limited support for standardization in the communication between agents, and the lack of tools to support agent development [16].…”

Section: Architecture Of the Dsplmentioning

confidence: 99%

“…This work describes how a DSPL approach combined with a goal-oriented strategy can be effectively applied for the self-adaptation of real e-health IoT devices. A previous contribution [6] introduced a goal-oriented self-adaptation approach of agent architectures using DSPL. In this work, the approach is generalized to illustrate how it can be effectively applied for the self-adaptation of real IoT devices for healthcare and assistance, such as the Smart Cane platform presented in [7].…”

Section: Introductionmentioning

confidence: 99%

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Self-Adaptation of mHealth Devices: The Case of the Smart Cane Platform

Ayala

Ballesteros

Caro-Romero

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

Self Cite

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Nowadays, more than one billion people are in need of one or more assistive technologies, and this number is expected to increase beyond two billion by 2050. The majority of assistive technologies are supported by battery-operated devices like smartphones and wearables. This means that battery weight is an important concern in such assistive devices because it may affect negatively its ergonomics. Saving power in these assistive devices is of utmost importance for its potential twofold benefits: extend the device life and reduce the global warming aggravated by billion of these devices. Dynamic Software Product Lines (DSPLs) are a suitable technology that supports system adaptation, in this case, to reduce energy consumption at runtime, considering contextual information and the current state of the device. However, a reduction in battery consumption could negatively affect other quality of service parameters, like response time. Therefore, it is important to trade-off battery saving and these other concerns. This work illustrates how to approach the self-adaptation of smart assistive devices by means of a DSPL-based strategy that optimizes battery consumption taking into account other QoS parameters at the same time. We illustrate our proposal with a real case study: a Smart Cane that is integrated with a DSPL platform, Tanit. Experimentation shows that it is possible to make a trade-off between different quality concerns (energy consumption and relative error). The results of the experiments allow us to conclude that the Tanit approach elongates battery duration of the Smart Cane in one day (an increase of a 6% with a relative error of 1%), so we improve the user quality of experience and reduce the energy footprint with a reasonable relative error.

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Section: Architecture Of the Dsplmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-Adaptation of mHealth Devices: The Case of the Smart Cane Platform

Ayala

Ballesteros

Caro-Romero

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

Self Cite

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“…Several DSPL based architectures can also be found in the literature. In [25], a DSPL based architecture, combined with preference based reasoning, provides the necessary mechanisms for reasoning about change; this allows the realization of decentralized self-managed system. Gaia-PL [26] is an extension of the Gaia platform for the analysis and design of multi-agent systems in active spaces.…”

Section: Related Workmentioning

confidence: 99%

A DSPL Design Framework for SASs: A Smart Building Example

Achtaich¹,

Souissi²,

Mazo³

et al. 2018

EAI Endorsed Transactions on Smart Cities

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The Internet of Things is a land of opportunity for believers and supporters of Smart Cities. Experience already shows that smartphones, smart appliances, wearables, sensors and actuators can be brought together to deliver advanced services like smart markets, smart parking, smart buildings or smart energy. But in order to do so in a complex, dynamic, rapidly changing and resource constrained environment, adapting fleets of devices to align with context fluctuations becomes a necessity. This paper describes the framework established to tackle the problem. It represents the dimensions for building Self-adaptive fleets for IoT applications, based on the foundations of the DSPL paradigm and the RE principles. The paper also allocates a model for each dimension of the framework, and through a preliminary proof of concept Smart Building example, confirms the usability of the proposal.

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“…Among MAS-PL approaches that cover both SPLE phases, SelfStarMAS proposes a process for the development of self-adaptive agents in Internet of Things (IoT), and extends it by a Dynamic SPL based approach, that presents the advantage of behaviour agent adaptation at runtime [3]. The approach is interesting, but remains specific to IoT domain.…”

Section: Related Workmentioning

confidence: 99%

“…Several MAS-PL approaches have been proposed [3,11,21,22] to apply SPL concepts to MAS development. Those MAS-PL approaches introduce the notion of variability for a reuse issue within a MAS family.…”

Section: Introductionmentioning

confidence: 99%

Towards a MAS Product Line Engineering Approach

Boufedji

Guessoum

Brandão

et al. 2018

Engineering Multi-Agent Systems

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Abstract. It is our claim that the adoption of software engineering reuse techniques can leverage MAS development, mostly when we consider similar applications belonging to the same domain. MAS-Product Line (MAS-PL) raises as an interesting approach that uses Software Product Line Engineering (SPLE) techniques and AOSE to manage the commonalities (similarities) and variabilities (differences) of such MAS applications. Although MAS present specific characteristics that could be considered when describing the system variability, existing work on MAS-PL is devoted to deal with MAS variability considering only domain-specific issues. Moreover, the adoption of variability models such as feature models should be considered for describing both Generic and Specific MAS variability. We propose a MAS-PL approach to address the aforementioned issues by representing Generic MAS variability according to MAS concepts such as agents, environment, interaction and organization, and Specific MAS variability according to a specific application domain. We evaluate the approach by deriving a family of agents that perform jobs in the Multi-Agent Contest environment.

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Using Models at Runtime to Adapt Self-managed Agents for the IoT

Cited by 8 publications

References 22 publications

Self-Adaptation of mHealth Devices: The Case of the Smart Cane Platform

Self-Adaptation of mHealth Devices: The Case of the Smart Cane Platform

A DSPL Design Framework for SASs: A Smart Building Example

Towards a MAS Product Line Engineering Approach

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