Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include:

• A general introduction to soft computing

• An extensive literature study of soft computing techniques and emerging trends

• Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks

• The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems
• The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security
• Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction
• An IoT based framework for real time data collection and analysis using soft computing