Supporting End-User Service Composition with Automatically Generated Composite Service Descriptions

2014 ◽  
Author(s):  
Feifei Hang ◽  
Liping Zhao
Keyword(s):  
Service Composition ◽  
End User ◽  
Composite Service

Client-Centric Cloud Service Composition

2017 ◽  
pp. 144-166
Author(s):  
Vivek Gaur ◽  
Praveen Dhyani ◽  
Om Prakash Rishi
Keyword(s):  
Service Composition ◽  
Large Scale ◽  
Business Processes ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Quality Parameters ◽  
End User ◽  
Cloud Service Composition ◽  
Tabu Search Methods

Recent computing world has seen rapid growth of the number of middle and large scale enterprises that deploy business processes sharing variety of services available over cloud environment. Due to the advantage of reduced cost and increased availability, the cloud technology has been gaining unbound popularity. However, because of existence of multiple cloud service providers on one hand and varying user requirements on the other hand, the task of appropriate service composition becomes challenging. The conception of this chapter is to consider the fact that different quality parameters related to various services might bear varied importance for different user. This chapter introduces a framework for QoS-based Cloud service selection to satisfy the end user needs. A hybrid algorithm based on genetic algorithm (GA) and Tabu Search methods has been developed, and its efficacy is analysed. Finally, this chapter includes the experimental analysis to present the performance of the algorithm.

Achieving Dependable Composite Services through Two-Level Redundancy

2012 ◽  
pp. 295-316
Author(s):  
Hailong Sun ◽  
Jin Zeng ◽  
Huipeng Guo ◽  
Xudong Liu ◽  
Jinpeng Huai
Keyword(s):  
Business Process ◽  
Service Composition ◽  
Service Performance ◽  
Structural Redundancy ◽  
Composite Service ◽  
Service Oriented ◽  
Composite Services ◽  
Insightful Analysis ◽  
Process Level

Service composition is a widely accepted method to build service-oriented applications. However, due to the uncertainty of infrastructure environments, service performance and user requests, service composition faces a great challenge to guarantee the dependability of the corresponding composite services. In this chapter, we provide an insightful analysis of the dependability issue of composite services. And we present a solution based on two-level redundancy: component service redundancy and structural redundancy. With component service redundancy, we study how to determine the number of backup services and how to guarantee consistent dependability of a composite service. In addition, structural redundancy aims at further improving dependability at business process level through setting up backup execution paths.

User Studies on End-User Service Composition

2019 ◽  
Vol 13 (3) ◽  
pp. 1-46 ◽  
Author(s):  
Liping Zhao ◽  
Pericles Loucopoulos ◽  
Evangelia Kavakli ◽  
Keletso J. Letsholo
Keyword(s):  
Service Composition ◽  
User Studies ◽  
End User

DYNAMIC SERVICE COMPOSITION: A DISCOVERY-BASED APPROACH

2008 ◽  
Vol 18 (02) ◽  
pp. 199-222 ◽  
Author(s):  
JONATHAN LEE ◽  
SHANG-PIN MA ◽  
YING-YAN LIN ◽  
SHIN-JIE LEE ◽  
YAO-CHIANG WANG
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Main Trend ◽  
Service Availability ◽  
Composite Service ◽  
Composite Pattern ◽  
Contract Net ◽  
Dynamic Service Composition ◽  
Service Oriented ◽  
Composite Services

Service-Orientated Computing (SOC) has become a main trend in software engineering that promotes the construction of applications based on the notion of services. SOC has recently attracted the researchers' attention and has been adopted industry-wide. However, service composition that enables one to aggregate existing services into a new composite service is still a highly complex and critical task in service-oriented technology. To enhance availability of composite services, we propose a discovery-based service composition framework to better integrate component services in both static and dynamic manner, including (1) to devise a notion of service availability especially for composition; (2) to develop a dynamic service composition (DSC) pattern for addressing the issues of service availability; and (3) to extend Contract Net Protocol (ECNP) to coordinate service discovery, composition and invocation based on the composite pattern. The main benefit of the proposed approach is better availability through attaching multiple candidate services for future binding.

scholarly journals Establishing requirements for End-user Service Composition tools

2014 ◽  
Vol 20 (4) ◽  
pp. 435-463 ◽  
Author(s):  
Andy Ridge ◽  
Eamonn O’Neill
Keyword(s):  
Service Composition ◽  
End User

scholarly journals Equilibrial service composition model in Cloud manufacturing (ESCM) based on non-cooperative and cooperative game theory for healthcare service equipping

2021 ◽  
Vol 7 ◽  
pp. e410
Author(s):  
Ehsan Vaziri Goudarzi ◽  
Mahmoud Houshmand ◽  
Omid Fatahi Valilai ◽  
Vahidreza Ghezavati ◽  
Shahrooz Bamdad
Keyword(s):  
Game Theory ◽  
Information And Communication Technologies ◽  
Cooperative Game ◽  
Real World ◽  
Service Composition ◽  
Industry 4.0 ◽  
Healthcare Service ◽  
Manufacturing System ◽  
Cloud Manufacturing ◽  
Composite Service

Industry 4.0 is the digitalization of the manufacturing systems based on Information and Communication Technologies (ICT) for developing a manufacturing system to gain efficiency and improve productivity. Cloud Manufacturing (CM) is a paradigm of Industry 4.0. Cloud Manufacturing System (CMS) considers anything as a service. The end product is developed based on the service composition in the CMS according to consumers’ needs. Also, composite services are developed based on the interaction of MCS providers from different geographical locations. Therefore, the appropriate Manufacturing Cloud Service (MCS) composition is an important problem based on the real-world conditions in CMS. The game theory studies the mathematical model development based on interactions between MCS providers according to real-world conditions. This research develops an Equilibrial Service Composition Model in Cloud Manufacturing (ESCM) based on game theory. MCS providers and consumers get benefits mutually based on ESCM. MCS providers are players in the game. The payoff function is developed based on a profit function. Also, the game strategies are the levels of Quality of Service (QoS) based on consumers’ needs in ESCM. Firstly, the article develops a composite service based on a non-cooperative game. The Nash equilibrium point demonstrates the QoS value of composite service and the payoff value for the players. Secondly, the article develops a composite service based on a cooperative game. The players participate in coalitions to develop the composite service based on formal cooperation. The grand coalition demonstrates the QoS value of composite service and the payoff value for the players in the cooperative game. The research has compared the games’ results. The players’ payoff and the QoS value are better in the cooperative game than in the non-cooperative game. Therefore, the MCS providers and consumers are satisfied mutually in the cooperative game based on ESCM. Finally, the article has applied ESCM in a Healthcare Service to equip 24 hospitals in the best time.

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