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 36, 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).

Klappentext

.- Workshop on Adaptive Service-oriented and Cloud Applications. .- Towards the interoperability of port Digital Twin systems through ontologies alignment. .- Architecture Mining approach for Systems-of-Systems : Monitoring and Discovery. .- Self-adaptation in Microservice Systems: A Literature Review. .- Expressing Variability in Requirements Specification for Adaptive Dynamic Systems. .- Workshop on AI-enabled Process Automation. .- Predictive Process Monitoring Using Object-centric Graph Embeddings. .- InferNet: Next Likely Action Prediction in Business Processes. .- Activity Instance Identification using Bipartite Graph Matching. .- Causally-informed predictive process monitoring. .- CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process. .- Exploring the Systematic Use of LLMs for Microservices Generation. .- Workshop on Engineering Service-Oriented Applications and Cloud Services. .- LLM-Based DAG Creation for Data Enrichment Pipelines in SemT Framework. .- SaaS Pricing-Aware Demand and Capacity Management. .- Towards Effective SaaS Pricing Design: A Case Study of CCSIM. .- Enhancing Federated Learning with SOA: An Approach to Tackle Non-IID Data Challenges. .- Externalized and Decentralized Authorization of Microservices. .- Decoding the privacy policy implications of personal data processing: A framework for GDPR Compliance in Business and Social apps. .- Workshop on Generative AI as a Software Service. .- Generative AI for Software Development: A Survey. .- Aligning Declarations and Practices: Evaluating Privacy Policy Consistency with App Permissions using Generative AI. .- Workshop on Lightweight AI-based Services. .- Urban Sound Classification on Resource-constrained Edge Devices. .- Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters. .- Knowledge Distillation for Object Detection Using YOLO-NAS. .- Knowledge Distillation: A Key Approach For Lightweight Deep Generative Models. .- Random Forest Based Fast MTS Algorithm for VVC Encoder. .- Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training & Inference. .- Reinforcement Learning Challenges in Power Grid Management: A Case Study with City Learn Simulator. .- Visual Anomaly Detection In Modern Industrial Manufacturing Systems: Survey, Challenges and Future Directions. .- LLM Non-text-focused Data Generation for Payroll Fraud Detection. .- Workshop on RealTime Service oriented and EMbedded Systems. .- Task scheduling for container orchestration of Kubernetes in distributed systems development.

Inhalt

.- Workshop on Adaptive Service-oriented and Cloud Applications.

.- Towards the interoperability of port Digital Twin systems through ontologies alignment.

.- Architecture Mining approach for Systems-of-Systems : Monitoring and Discovery.

.- Self-adaptation in Microservice Systems: A Literature Review.

.- Expressing Variability in Requirements Specification for Adaptive Dynamic Systems.

.- Workshop on AI-enabled Process Automation.

.- Predictive Process Monitoring Using Object-centric Graph Embeddings.

.- InferNet: Next Likely Action Prediction in Business Processes.

.- Activity Instance Identification using Bipartite Graph Matching.

.- Causally-informed predictive process monitoring.

.- CDL+: An Extended Capability Description Language Design For Medical Data-Driven Process.

.- Exploring the Systematic Use of LLMs for Microservices Generation.

.- Workshop on Engineering Service-Oriented Applications and Cloud Services.

.- LLM-Based DAG Creation for Data Enrichment Pipelines in SemT Framework.

.- SaaS Pricing-Aware Demand and Capacity Management.

.- Towards Effective SaaS Pricing Design: A Case Study of CCSIM.

.- Enhancing Federated Learning with SOA: An Approach to Tackle Non-IID Data Challenges.

.- Externalized and Decentralized Authorization of Microservices.

.- Decoding the privacy policy implications of personal data processing: A framework for GDPR Compliance in Business and Social apps.

.- Workshop on Generative AI as a Software Service.

.- Generative AI for Software Development: A Survey.

.- Aligning Declarations and Practices: Evaluating Privacy Policy Consistency with App Permissions using Generative AI.

.- Workshop on Lightweight AI-based Services.

.- Urban Sound Classification on Resource-constrained Edge Devices.

.- Lightweight AI-Driven Real-Time Intruder Detection System for IoT-Enabled Smart Meters.

.- Knowledge Distillation for Object Detection Using YOLO-NAS.

.- Knowledge Distillation: A Key Approach For Lightweight Deep Generative Models.

.- Random Forest Based Fast MTS Algorithm for VVC Encoder.

.- Workshop on Optimising AI Models Using Local Data on Resource-Constrained Edge Devices - Training & Inference.

.- Reinforcement Learning Challenges in Power Grid Management: A Case Study with City Learn Simulator.

.- Visual Anomaly Detection In Modern Industrial Manufacturing Systems: Survey, Challenges and Future Directions.

.- LLM Non-text-focused Data Generation for Payroll Fraud Detection.

.- Workshop on RealTime Service oriented and EMbedded Systems.

.- Task scheduling for container orchestration of Kubernetes in distributed systems development.