Multi-objective service composition model based on cost-effective optimization

Hu, Yi; Qiu, Peng; Zhai, Jiyou; Fan, Di; Peng, Huanfeng

doi:10.1007/s10489-017-0996-y

Cited by 28 publications

(9 citation statements)

References 29 publications

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“…Third, we take as a comparative approach the work presented in Huo et al (2017), because this paper is among the most recent and relevant work in the field of multi‐objective optimization web services composition.…”

Section: Methodsmentioning

confidence: 99%

“…In the paper of Huo et al (2017), the authors proposed a new method to solve the web service composition problem based on a cost‐effective optimization tool. This method used the Elite‐guided Multi‐objective Artificial Bee Colony (EMOABC) algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…These methods are able to find a good combination of web services that can meet the user's requests. In addition, a comparative study with the state‐of‐the‐art methods (Huo et al, 2017) is done in this work to show the importance and the effectiveness of our approaches for the considered problem.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐objective memetic approach for the optimal web services composition

Azouz

Boughaci

2022

Expert Systems

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Service composition is the process of combining a set of elementary or atomic services.The aim is to produce a new composite service to satisfy the user's request that cannot be satisfied by the atomic services. Combining multiple services is a complex problem that has been the subject of several research studies. The meta-heuristic approaches are good techniques that have been used to solve several complex problems in various domains. These techniques are able to discover promising search regions and locate good quality solutions in reasonable time without exploring the whole solution space. In this paper, we deal with the problem of optimal web service composition by using metaheuristic approaches. Given a set of services and a set of tasks to be completed, the problem is to find the best set of services composition to complete all tasks where each service must be assigned to a given task. This problem can be modelled as a combinatorial optimization problem with a set of objective functions that need to be optimized.We search for a composite service that allows us to execute the considered tasks and offers the best quality of services (QoS). More precisely, we search for an execution plan that indicates for each task the assigned service. First, we propose a multi-objective local search based meta-heuristic (MO-LS) and a multi-objective genetic algorithm (MO-GA) to handle our problem. Then we propose a multi-objective memetic algorithm (MO-MA) that combines the two methods LS and GA. The role of GA is to detect promising regions to be explored. The role of LS is to exploit efficiently the potential regions created by GA. Four objective functions are used to compute the Pareto optimal set of solutions. The main objective is to minimize cost and time and to maximize availability and reputation and produce a good composite service. The three proposed approaches namely MO-LS, MO-GA, and MO-MA are evaluated on some datasets generated randomly and on the well-known QWS dataset to select the best fit services in terms of maximum or minimum aggregated end-to-end QoS parameters. The numerical results are encouraging and demonstrate the effectiveness of the proposed MO-MA for the web service composition.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Multi‐objective memetic approach for the optimal web services composition

Azouz

Boughaci

2022

Expert Systems

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“…As a result, the SLAs asserted by users across several sites were mapped into a Petri net, allowing the Petri net model to be integrated with the UML QoS model. Huo et al [92] suggested a novel multiobjective model for service composition that takes into cost-effectiveness. Availability, response time, throughput, and reputation are among the QoS criteria.…”

Section: Iot In Commercialmentioning

confidence: 99%

Dimensions of Internet of Things: Technological Taxonomy Architecture Applications and Open Challenges—A Systematic Review

Kumar

et al. 2022

Wireless Communications and Mobile Computing

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We are traversing the growing emerging technology paradigms in today’s advanced technological world. In this present era, the Internet of Things (IoT) is extensively used in all sectors. IoT is the ecosystem of smart devices which contains sensors, smart objects, networking, and processing units. These integrated devices provide better services to the end user. IoT is impacting our environment and is becoming one of the most popular technologies. The leading use of IoT in human life is to track activities anywhere at any time. The utmost utilities achieved by IoT applications are decision-making and monitoring for efficient and effective management. In this paper, an extensive literature review on IoT has been done using the systematic literature review (SLR) technique. The main focus areas include commercial, environmental, healthcare, industrial, and smart cities. The issues related to the IoT are also discussed in detail. The purpose of this review is to identify the major areas of applications, different popular architectures, and their challenges. The various IoT applications are compared in accordance with technical features such as quality of service and environmental evaluation. This study can be utilized by the researchers to understand the concept of IoT and provides a roadmap to develop strategies for their future research work.

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“…However, this study did not present the differences in a comparison with similar available studies. Huo et al [128] recommended a multi-purpose prototype for facility composition concerning a cost-efficient optimization. The QoS features, including the response period, accessibility, data rate, and reputation, were measured.…”

Section: Commercial Applicationsmentioning

confidence: 99%

Internet of Things and Its Applications: A Comprehensive Survey

et al. 2020

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With the evolution of the fifth-generation (5G) wireless network, the Internet of Things (IoT) has become a revolutionary technique that enables a diverse number of features and applications. It can able a diverse amount of devices to be connected in order to create a single communication architecture. As it has significantly expanded in recent years, it is fundamental to study this trending technology in detail and take a close look at its applications in the different domains. It represents an enabler of new communication possibilities between people and things. The main asset of this concept is its significant influence through the creation of a new world dimension. The key features required for employing a large-scale IoT are low-cost sensors, high-speed and error-tolerant data communications, smart computations, and numerous applications. This research work is presented in four main sections, including a general overview of IoT technology, a summary of previous correlated surveys, a review regarding the main IoT applications, and a section on the challenges of IoT. The purpose of this study is to fully cover the applications of IoT, including healthcare, environmental, commercial, industrial, smart cities, and infrastructural applications. This work explains the concept of IoT and defines and summarizes its main technologies and uses, offering a next-generation protocol as a solution to the challenges. IoT challenges were investigated to enhance research and development in the fields. The contribution and weaknesses of each research work cited are covered, highlighting eventual possible research questions and open matters for IoT applications to ensure a full analysis coverage of the discussed papers.

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Multi-objective service composition model based on cost-effective optimization

Cited by 28 publications

References 29 publications

Multi‐objective memetic approach for the optimal web services composition

Multi‐objective memetic approach for the optimal web services composition

Dimensions of Internet of Things: Technological Taxonomy Architecture Applications and Open Challenges—A Systematic Review

Internet of Things and Its Applications: A Comprehensive Survey

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