Description
This book constitutes the constitutes the refereed proceedings of the 10th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing , ESOCC 2023, held in Larnaca, Cyprus, during October 24–26, 2023.
The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Microservices; Quality of Service; Service Orchestration; Edge Computing; PhD Symposium; and Industry Projects Track.
Table of Contents
Microservices.- μXL: Explainable Lead Generation with Microservices and Hypothetical Answers.- One Microservice per Developer: Is This the Trend in OSS?.- End-to-End Test Coverage Metrics in Microservice Systems: An Automated Approach.- Quality of Service.- Time-aware QoS Web Service Selection Using Collaborative Filtering: A Literature Review.- Enhanced Time-Aware Collaborative Filtering for QoS Web Service
Prediction.- Comparison of performance and costs of CaaS and RDBaaS services.- Service Orchestration.- Horizontal Scaling of Transaction-Creating Machines for Blockchains.- Uncovering Effective Roles and Tasks for Fog Systems.- Cooperative Virtual Machine Placement.- Edge Computing.- A Multi-pronged Self-Adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices.- Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices.- Streamlining XR Application Deployment with a Localized Docker Registry at the Edge.- PhD Symposium.- Towards Cloud Storage Tier Optimization with Rule-based Classification.- Industry Projects Track.- Towards a Decentralised Federated Learning based Compute Continuum Framework.- Detecting Model Changes in Organisational Processes: A Cloud-Based Approach.- Short Papers.- A Taxonomy for Workload Deployment Orchestration in the Edge-Cloud Continuum.- Intent-based AI-enhanced Service Orchestration for Application Deployment and Execution in the Cloud Continuum.- Optimizing the Cost-Performance Ratio of FaaS Deployments.- The Microservice Dependency Matrix.
