Distributed Approach for QoS Service Selection in Web of Objects

Temglit, Nacera; Chibani, Abdelghani; Djouani, Karim; Nacer, Mohamed Ahmed

doi:10.1016/j.procs.2016.04.240

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…Besides the aforementioned approaches focusing on relevant smart city problems, a number of works addressed the service composition problem for IoT /Web services, 5‐11 and CMfg 15‐21 . In this regard, a couple of works provided a systematic literature review of composition techniques in IoT and CMfg and their open challenges 12‐14,22 .…”

Section: Related Workmentioning

confidence: 99%

“…In this regard, a couple of works provided a systematic literature review of composition techniques in IoT and CMfg and their open challenges 12‐14,22 . These techniques can be categorized based on whether they focus on service composition architecture 6,9,10 or optimal/near optimal solving of service composition problem 5,8,11,15‐21 …”

Section: Related Workmentioning

confidence: 99%

“…In order to find the optimal solution for the QoS‐aware service composition problem, authors in Reference 5 utilized the branch and bound algorithm in a multiagent architecture. In their approach, QoS attributes are normalized using a utility function and aggregated based on the simple additive weighting (SAW) method.…”

Section: Related Workmentioning

confidence: 99%

“…Although a number of existing works have already focused on service composition for web services and IoT, 5‐14 and cloud manufacturing (CMfg), 15‐22 the literature lacks adequate specialized solutions addressing the composition of urban services in smart cities. In this context, the response time to a service composition request is of great importance for citizens.…”

Section: Introductionmentioning

confidence: 99%

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A fog‐based fault‐tolerant and QoE‐aware service composition in smart cities

Bidi

Movahedi

2021

Trans Emerging Tel Tech

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Nowadays, the smart city trend has attracted an important number of municipalities, enabling to control and manage smartly the city environment and provide the citizens with value‐added urban services. In this regard, Internet of Things and fog computing play a key role in providing smart city services, simplifying the decision making for city authorities and improving the quality of experience (QoE) for citizens. In this article, we address the problem of selecting appropriate urban service providers and their sequencing given the citizen request for a set of urban services (eg, banks, laundries, carwashes, gas stations, bakeries) considering a number of quality metrics. This latter can be translated into a service composition problem with the aim of optimizing the QoE of citizens, the load of service providers and the roads traffic. In such a context, the first contribution of this article consists of proposing a fog‐based fault‐tolerant architecture capable to address the scalability and reliability issues of smart cities, while processing efficiently and reactively the service composition requests of citizens. In addition, we map the QoE‐aware service composition problem in smart cities to a generalized traveling salesman problem and propose three metaheuristics based on genetic algorithms, particle swarm optimization, and artificial bee colony to solve this problem in a timely manner. The results obtained based on the developed prototype of our proposal demonstrate the superiority of our proposed approach compared with other existing service composition alternatives.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A fog‐based fault‐tolerant and QoE‐aware service composition in smart cities

Bidi

Movahedi

2021

Trans Emerging Tel Tech

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“…Ding et al [15] addressed the issue of selecting and composing web services via a genetic algorithm and gave a transaction and QoS-aware selection approach. Temglit et al [16] proposed a distributed and optimal QoS selection approach based on multiagents paradigm and distributed constraint optimization formalism, and it takes into account the specificities of the service composition context and the satisfaction of the global user's constraints. Gu et al [17] proposed an agent-based distributed QoS multicast routing algorithm, and it takes advantage of the cooperation of different agent groups to find the optimum multicast routing that satisfies the QoS constraint.…”

Section: Introductionmentioning

confidence: 99%

The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm

Wang

2020

Discrete Dynamics in Nature and Society

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In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.

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Genetic algorithm for web services selection supporting quality of service

Xue

2021

Int J Syst Assur Eng Manag

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Distributed Approach for QoS Service Selection in Web of Objects

Cited by 6 publications

References 11 publications

A fog‐based fault‐tolerant and QoE‐aware service composition in smart cities

A fog‐based fault‐tolerant and QoE‐aware service composition in smart cities

The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm

Genetic algorithm for web services selection supporting quality of service

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