A demand driven web service lifecycle
- Authors: Sun, Zhaohao , Dong, Dong , Han, Jun
- Date: 2009
- Type: Text , Conference paper
- Relation: Paper presented at 2009 International Conference on New Trends in Information and Service Science, NISS 2009, Beijing, China : 30th June - 2nd July 2009 p. 8-14
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- Description: Web service lifecycle is a fundamental topic for web services and service computing. This article will examine web service lifecycle and propose a demand-driven model for web service lifecycle taking into account the demand of the main parties in web services. The proposed approach will facilitate the research and development of web services, e-services, service intelligence and service computing. © 2009 IEEE.
Decision making in multiagent web services based on soft computing
- Authors: Sun, Zhaohao , Wang, Minhong , Dong, Dong
- Date: 2010
- Type: Text , Book chapter
- Relation: Marketing Intelligent Systems Using Soft Computing : Managerial and Research Applications Chapter 22 p. 389-415
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- Description: Web services are playing an important role in successful business integration and other application fields such as e-commerce and e-business. Multiagent systems and soft computing are intelligent technologies that have drawn an increasing attention in web services. This chapter examines decision making in multiagent web services based on soft computing. More specifically, it proposes a unified multilayer architecture, SESS, and an intelligent system architecture, WUDS. The SESS unifies e-services, web services and infrastructure services into an integrated hierarchical framework. The WUDS aims at implementing decision making in multiagent web services based on soft computing and implementation strategies. Both architectures tie together methodologies such as multiagent system, soft computing techniques such as case-based reasoning (CBR), fuzzy logic and their applications in web services into a unified framework that includes both logical and intelligent embodiment of decision making in web services. The chapter also proposes demand-driven web service lifecycle for service providers, brokers and requesters taking into account their decision making. Finally, the chapter explores unified case-based web services for discovery, composition and recommendation based on fuzzy logic. The proposed approach will facilitate the research and development of web services, e-services, intelligent systems and soft computing. © 2010 Springer-Verlag Berlin Heidelberg.