A Quality of Service (QoS) Driven Automatic Service Composition Algorithm

2018 ◽  
Author(s):  
Chun-guang ZHANG ◽  
Qiao SUN ◽  
Lei SUN ◽  
Si-ning WANG ◽  
Xiao TONG ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Service Composition ◽  
Automatic Service Composition

scholarly journals Service Composition in IoT using Genetic algorithm and Particle swarm optimization

2020 ◽  
Vol 10 (1) ◽  
pp. 56-64 ◽  
Author(s):  
Neeti Kashyap ◽  
A. Charan Kumari ◽  
Rita Chhikara
Keyword(s):  
Genetic Algorithm ◽  
Quality Of Service ◽  
Particle Swarm Optimization ◽  
Service Composition ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Pso Algorithm ◽  
Critical Issue ◽  
Swarm Optimization

AbstractWeb service compositions are commendable in structuring innovative applications for different Internet-based business solutions. The existing services can be reused by the other applications via the web. Due to the availability of services that can serve similar functionality, suitable Service Composition (SC) is required. There is a set of candidates for each service in SC from which a suitable candidate service is picked based on certain criteria. Quality of service (QoS) is one of the criteria to select the appropriate service. A standout amongst the most important functionality presented by services in the Internet of Things (IoT) based system is the dynamic composability. In this paper, two of the metaheuristic algorithms namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are utilized to tackle QoS based service composition issues. QoS has turned into a critical issue in the management of web services because of the immense number of services that furnish similar functionality yet with various characteristics. Quality of service in service composition comprises of different non-functional factors, for example, service cost, execution time, availability, throughput, and reliability. Choosing appropriate SC for IoT based applications in order to optimize the QoS parameters with the fulfillment of user’s necessities has turned into a critical issue that is addressed in this paper. To obtain results via simulation, the PSO algorithm is used to solve the SC problem in IoT. This is further assessed and contrasted with GA. Experimental results demonstrate that GA can enhance the proficiency of solutions for SC problem in IoT. It can also help in identifying the optimal solution and also shows preferable outcomes over PSO.

Quality-of-Service Based Web Service Composition and Execution Framework

2014 ◽  
pp. 74-93
Author(s):  
Bassam Al Shargabi ◽  
Osama Al-haj Hassan ◽  
Alia Sabri ◽  
Asim El Sheikh
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Selection ◽  
Web Service Composition ◽  
Web Service Selection ◽  
Selection Decisions ◽  
Uddi Registry

Software is gradually becoming more built by composing web services to support enterprise applications integration; thus, making the process of composing web services a significant topic. The Quality of Service (QoS) in web service composition plays a crucial role. As such, it is important to guarantee, monitor, and enforce QoS and ability to handle failures during execution. Therefore, an urgent need exists for a dynamic Web Service Composition and Execution (WSCE) framework based on QoS constraints. A WSCE broker is designed to maintain the following function: intelligent web service selection decisions based on local QoS for individual web service or global QoS based selection for composed web services, execution tracking, and adaptation. A QoS certifier controlled by the UDDI registry is proposed to verify the claimed QoS attributes. The authors evaluate the composition plan along with performance time analysis.

Service composition with quality of service management in environmental sensor networks

2016 ◽  
Vol 23 (3/4) ◽  
pp. 216
Author(s):  
Kris Steenhaut ◽  
Abdellah Touhafi ◽  
Nguyen Thanh Long ◽  
Federico Domínguez ◽  
Nguyen The Cuong
Keyword(s):  
Quality Of Service ◽  
Sensor Networks ◽  
Service Composition ◽  
Service Management ◽  
Environmental Sensor Networks ◽  
Environmental Sensor

QoS-Aware Stream Federation and Optimization Based on Service Composition

2016 ◽  
Vol 12 (4) ◽  
pp. 43-67
Author(s):  
Feng Gao ◽  
Muhammad Intizar Ali ◽  
Edward Curry ◽  
Alessandra Mileo
Keyword(s):  
Quality Of Service ◽  
Service Composition ◽  
Urban Environments ◽  
Sensor Data ◽  
Optimal Service ◽  
Complex Events ◽  
System Robustness ◽  
Service Aggregation ◽  
Event Service

The proliferation of sensor devices and services along with the advances in event processing brings many new opportunities as well as challenges. It is now possible to provide, analyze and react upon real-time, complex events in urban environments. When existing event services do not provide such complex events directly, an event service composition maybe required. However, it is difficult to determine which event service candidates (or service compositions) best suit users' and applications' quality-of-service requirements. A sub-optimal service composition may lead to inaccurate event detection, lack of system robustness etc. In this paper, the authors address these issues by first providing a quality-of-service aggregation schema for complex event service compositions and then developing a genetic algorithm to efficiently create near-optimal event service compositions. The authors evaluate their approach with both real sensor data collected via Internet-of-Things services as well as synthesised datasets.

An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

2017 ◽  
Vol 13 (4) ◽  
pp. 181-197 ◽  
Author(s):  
Fadl Dahan ◽  
Khalil El Hindi ◽  
Ahmed Ghoneim
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Ant Colony Optimization ◽  
Service Composition ◽  
Web Service Composition ◽  
Ant Colony ◽  
User Requirements ◽  
Diverse Population ◽  
Flexible Framework

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.

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