Optimal Service Composition via Agent-Based Quality of Service

2011 ◽  
pp. 274-285
Author(s):  
Chattrakul Sombattheera
Keyword(s):  
Quality Of Service ◽  
Service Composition ◽  
Agent Based ◽  
Optimal Service

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.

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.

ARC: Anomaly-aware Robust Cloud-integrated IoT service composition based on uncertainty in advertised quality of service values

2020 ◽  
Vol 164 ◽  
pp. 110557 ◽  
Author(s):  
Mohammadreza Razian ◽  
Mohammad Fathian ◽  
Rajkumar Buyya
Keyword(s):  
Quality Of Service ◽  
Service Composition

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.

QoS Correlation-based Service Composition Algorithm for Multi-constraint Optimal Path

2021 ◽  
Author(s):  
Jian Yu ◽  
Zhixing Lin ◽  
Qiong Yu ◽  
Xiangmei Xiao
Keyword(s):  
Service Composition ◽  
Optimal Path ◽  
Path Selection ◽  
Approximate Algorithm ◽  
Solution Path ◽  
Network Service ◽  
Integrated Network ◽  
Qos Guarantee ◽  
Optimal Service

Abstract With the development of network service integration, in order to obtain a better quality of service (QoS) guarantee, In this Paper,We consider the characteristics of integrated network service composition and correlation, this paper proposes a approximate algorithm based on multi-constraint optimal path selection (MCOPS). We analyses the QoS correlation criteria, correlation ratios, and Skyline algorithms to calculate the optimal path by dynamic programming, record the path nodes, and obtain the optimal service composition path that meets the user's demand. Simulation results demonstrate the good performance of the proposed algorithm in both the average calculation time and the solution path quality.

C. PENGEMBANGAN PEMASARAN PRODUK, HARGA, PROMOSI, DAN KUALITAS PELAYANAN CUSTOMER BERDAMPAK PADA KEPUASAN PELANGGAN OPTIK TREAY

2020 ◽  
Vol 3 (2) ◽  
pp. 25
Author(s):  
Christien Ellen Chen ◽  
Maria Yotinarsa Ndawung ◽  
Nur Aini ◽  
Kusuma Adi Raharjo
Keyword(s):  
Quality Of Service ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Price Promotion ◽  
Product Price ◽  
Optimal Service ◽  
The Future ◽  
Product Appearance

ABSTRAK   Dunia pemasaran saat ini berkembang begitu pesat. Banyak perusahaan yang bersaing untuk mendapatkan hati konsumennya, salah satunya adalah dengan fokus meningkatkan kepuasana pelanggan. Hal ini yang menjadi salah satu alasan peneliti untuk mengetahui beberapa point yaitu Produk, Harga, Promosi, dan Kualitas Pelayanan yang berdampak terhadap Kepuasan Pelanggan. Dari hasil penelitian yang dilakukan menunjukan bahwa variabel produk yang mengarah kepada kualitas produk maupun tampilan produk yang sesuai keinginan dan kebutuhan konsumen akan berdampak pada kepuasan pelanggan. Variabel harga pada penelitian ini menunjukan bahwa harga akan mempengaruhi kepuasan pelanggan apabila kualitas produk juga mendukung dalam hal ini. Sedangkan promosi pada penelitian ini menunjukan bahwa promosi akan banyak mendatangkan konsumen namun apabila ingin menciptakan sebuah kepuasan maka yang perlu diperhatikan adalah Harga dan Kualitas Produk, karena kebanyakan perusahaan membuat promosi dengan maksud meghabiskan stok tanpa memperhatikan kualitas produk yang akan di distribusikan kepada konsumen. Kemudia kualitas pelayanan pada penelitian ini berdampak terhadap kepuasan pelanggan. Pelayanan yang optimal adalah pelayanan yang membuat konsumen nyaman, aman dan merasa di hargai. Untuk kedepanya perusahaan harus mampu berinovasi dan mengevaluasi segala bentuk masukan dan saran konsumen untuk kemudian hari dikembangkan.   Kata kunci : Produk, Harga, Promosi, Kualitas Pelayanan, Kepuasan Pelanggan     ABSTRACT   Today's marketing world is growing so rapidly. Many companies compete to win the hearts of their customers, one of which is to focus on increasing customer satisfaction. This is one of the reasons for researchers to find out several points, namely Products, Prices, Promotions, and Service Quality which have an impact on Customer Satisfaction. From the results of research conducted shows that the product variables that lead to product quality and product appearance according to consumer wants and needs will have an impact on customer satisfaction. The price variable in this study shows that the price will affect customer satisfaction if the product quality also supports this. While the promotion in this study shows that the promotion will bring in a lot of consumers, but if you want to create a satisfaction, what needs to be considered is the price and quality of the product, because most companies make promotions with the intention of consuming stock without paying attention to the quality of the products that will be distributed to consumers. Then the quality of service in this study has an impact on customer satisfaction. Optimal service is one that makes consumers comfortable, safe and feels valued. For the future, the company must be able to innovate and evaluate all forms of consumer input and suggestions for later development.   Keywords: Product, Price, Promotion, Service Quality, Customer Satisfaction

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
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