Soft Computing Principles And Integration For Real Time Service Oriented Computing
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Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. 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
Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. 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
Service-Oriented Computing – ICSOC 2024 Workshops
This two-volume set volume constitutes the papers of ten workshops which were held in conjunction with the 22nd International Conference on Service-Oriented Computing, ICSOC 2024. The conference took place in Tunis, Tunisia, during December 3–6, 2024. The 58 full papers and 3 short papers presented in this book were carefully reviewed and selected from 109 submissions. ICSOC 2024 presents the following ten workshops: – 9th International Workshop on Adaptive Service-oriented and Cloud Applications (ASOCA) – 5th International Workshop on AI-enabled Process Automation (AI-PA) – 20th International Workshop on Engineering Service-Oriented Applications and Cloud Services (WESOACS) – 1st International Workshop on Generative AI as a Software Service (GAISS) – 1st International Workshop on Lightweight AI-based Services (LAIS) – 1st International Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training \& Inference (AI on Edge) – 1st International Workshop on RealTime Service oriented and EMbedded Systems (RTSEMS) – 2nd International Workshop on Services and Quantum Software (SQS) – 1st International Workshop on Service-Oriented Computing, AI, and IoT for Smart Applications (SOCAISA) – 1st International Workshop on Service-Oriented Computing for AI Applications (SOC4AI).