taAutonomous Avatar-based Architecture for Value-added Services Provision

Khadir, Karima; Guermouche, Nawal; Monteil, Thierry

doi:10.1109/iotsms48152.2019.8939191

Cited by 2 publications

(6 citation statements)

References 15 publications

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“…QoS-aware service selection problem has widely attracted attentions in multiple scientific researches and industrial developments. The approaches proposed in the literature are classified into two categories: (1) approaches based on global selection and, (2) approaches based on local selection.…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we detail the concept of autonomous avatar and we describe the specification of the awaited IoT applications [1].…”

Section: Semantic Specificationmentioning

confidence: 99%

“…The Web of Things (WoT) enables the implementation of this vision by relying on the Web to virtualize heterogeneous IoT devices in a uniform representation, called Avatar, using a semantic description. An avatar is endowed with standalone reasoning, context management, collaboration capabilities and can be deployed in Fog-Cloud infrastructures [1]. The IoT services provided by avatars can be discovered, selected, and composed to fulfill a given IoT need, represented as a complex process composed of a set of abstract tasks.…”

Section: Introductionmentioning

confidence: 99%

“…Table 4) of the quality levels of their elementary tasks, and that, according to the operators that connect them and the type of the QoS parameter. For example, for the composite task T 12 =(T 1 [parallel] T 2 ), the quality levels for the response time are obtained using the maximum aggregation between the quality levels of T 1 and T 2 , i.e., for the first quality level L 1 12,1 = max({L 1 1,1 , L 1 2,1 } = max({51.33, 39.5} = 51.33. Regarding the quality levels for the throughput, the aggregation minimum is used.…”

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confidence: 99%

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A Genetic Algorithm-Based Approach for Fluctuating QoS Aware Selection of IoT Services

et al. 2022

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In recent years, the Internet of Things (IoT) has evolved at an exceptional speed, which enables to interconnect a very large number of heterogeneous, distributed, and mobile devices. This number will exceed 70 billion by 2025 according to Statista a . Therefore, with this huge amount of connected objects, the fulfillment of complex IoT applications, which usually requires a combination of several IoT objects, remains a real challenge. Besides, several requirements of Quality of Service (QoS) must be fulfilled, which makes the problem of selecting the appropriate IoT services NP-hard. In the literature, two main techniques for QoS-driven service selection are proposed: global selection characterized by a poor performance in dynamic and distributed huge environments and local selection which considers pre-defined local QoS constraints. Mainly, the existing works consider static QoS. However, in real life scenarios, QoS of IoT services can be fluctuating. To enhance the reliability of IoT applications, it is of paramount importance to consider the fluctuation dimension. In this context, we propose a QoS fluctuation-aware selection approach of IoT services. To do so, we propose a near-to optimal distributed approach that relies on decomposing the global QoS into distinct local constraints that serve as upper/lower bounds for selection while enhancing the reliability of the resulting composition by considering the QoS fluctuation of the candidate IoT services. The approach, we propose is based on a multi-objective evolutionary algorithm (MOEA) to solve the global QoS decomposition problem. Then a local selection using the obtained local constraints is performed in a parallel and distributed way. The performance of the proposed approach is evaluated and validated via experiment series.

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Section: Related Workmentioning

confidence: 99%

“…In this section, we detail the concept of autonomous avatar and we describe the specification of the awaited IoT applications [1].…”

Section: Semantic Specificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A Genetic Algorithm-Based Approach for Fluctuating QoS Aware Selection of IoT Services

et al. 2022

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“…This layer aims to hide IoT heterogeneity problems, and therefore reduces the complexity of the IoT applications development process. In this context, we have already proposed an Avatar-based Fog-Cloud architecture [2]. An avatar is an artifact entity that represents a heterogeneous IoT device in a uniform description on the Web.…”

Section: Introductionmentioning

confidence: 99%

Towards avatar-based discovery for IoT services using social networking and clustering mechanisms

Khadir

Guermouche

Monteil

et al. 2020

2020 16th International Conference on Network and Service Management (CNSM)

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The Internet of Things (IoT) paradigm is defined as a complex large scale and distributed, and dynamic infrastructure composed of a huge number of heterogeneous devices. Identifying particular services provided by a massive number of IoT devices remains a challenging problem. The classical centralized discovery approaches are no more suitable. In our previous work, we have proposed an avatar-based Fog-Cloud architecture to support IoT object management. The avatars are defined as virtual entities of heterogeneous IoT objects. They are endowed with reasoning capabilities that make them able to coordinate with each other to accomplish an IoT application. Through this paper, we propose to extend our previous work by a new distributed mechanism for efficient discovery of IoT services relying on Social Networking (SN) and clustering methods. This is particularly interesting in large scale IoT systems since it allows to reduce the search space so that only the neighboring social avatars most apt to participate in the collaboration to accomplish an IoT application are considered. The proposed solution has been evaluated in connected vehicles context.

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taAutonomous Avatar-based Architecture for Value-added Services Provision

Cited by 2 publications

References 15 publications

A Genetic Algorithm-Based Approach for Fluctuating QoS Aware Selection of IoT Services

A Genetic Algorithm-Based Approach for Fluctuating QoS Aware Selection of IoT Services

Towards avatar-based discovery for IoT services using social networking and clustering mechanisms

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