Service-Oriented and Cloud Computing
11th IFIP WG 6.12 European Conference, ESOCC 2025, Bolzano, Italy, February 20-21, 2025, Proceedings
Herausgegeben:Pahl, Claus; Janes, Andrea; Cerny, Tomas; Lenarduzzi, Valentina; Esposito, Matteo
Service-Oriented and Cloud Computing
11th IFIP WG 6.12 European Conference, ESOCC 2025, Bolzano, Italy, February 20-21, 2025, Proceedings
Herausgegeben:Pahl, Claus; Janes, Andrea; Cerny, Tomas; Lenarduzzi, Valentina; Esposito, Matteo
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This book constitutes the refereed proceedings of the 11th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing, ESOCC 2025, held in Bolzano, Italy, during February 20-21, 2025.
The 12 full papers and 6 short papers included in this book were carefully reviewed and selected from 28 submissions. This paper focus on the cutting-edge research in Service-Oriented and Cloud Computing areas.
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This book constitutes the refereed proceedings of the 11th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing, ESOCC 2025, held in Bolzano, Italy, during February 20-21, 2025.
The 12 full papers and 6 short papers included in this book were carefully reviewed and selected from 28 submissions. This paper focus on the cutting-edge research in Service-Oriented and Cloud Computing areas.
The 12 full papers and 6 short papers included in this book were carefully reviewed and selected from 28 submissions. This paper focus on the cutting-edge research in Service-Oriented and Cloud Computing areas.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15547
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-84616-8
- Seitenzahl: 264
- Erscheinungstermin: 22. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 406g
- ISBN-13: 9783031846168
- ISBN-10: 3031846168
- Artikelnr.: 72736738
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 15547
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-84616-8
- Seitenzahl: 264
- Erscheinungstermin: 22. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 406g
- ISBN-13: 9783031846168
- ISBN-10: 3031846168
- Artikelnr.: 72736738
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
.- A Bio-Inspired Leader-based Energy Management System for Drone Fleets.
.- A Conceptual Framework for API Refactoring in Enterprise Application Architectures.
.- A Quantitative Privacy Evaluation Method Based on Tsallis Entropy for Trustworthy Data Sharing.
.- A Survey Study about the Impacts of Introducing a Microservices Cataloging Tool in a Large Software Development Unit.
.- Adaption via Selection: On Client Selection to Counter Concept Drift in Federated Learning.
.- Applying a Prompt Pattern Sequence for Decision-Making in Microservices Architectures.
.- Carbon-aware Software Services.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Developer Experience.
.- Deep Surrogate Models of Serverless Batch ProcessingServices.
.- Enhancing Failure Resilience of Cloud-Edge Microservices:The FREEDA Approach [work-in-progress research project].
.- ML-Based Performance Modeling in Edge FaaS Systems.
.- pyStorageLess: Leveraging Von Neumann's Architecture to Abstract Storage Heterogeneity in Serverless Applications.
.- SafeAR: Privacy-maintaince in augmented reality applications (Submitted to Project Report Track).
.- SemT: A Service Model for Tabular Data Enrichment.
.- TOSCARISMA: Modeling CARISMA-based Service Communication using TOSCA.
.- Towards Web Assembly-based Federated Learning.
.- Workflow-Net Compositions for the Analysis of Service-Oriented Systems.
.- A Conceptual Framework for API Refactoring in Enterprise Application Architectures.
.- A Quantitative Privacy Evaluation Method Based on Tsallis Entropy for Trustworthy Data Sharing.
.- A Survey Study about the Impacts of Introducing a Microservices Cataloging Tool in a Large Software Development Unit.
.- Adaption via Selection: On Client Selection to Counter Concept Drift in Federated Learning.
.- Applying a Prompt Pattern Sequence for Decision-Making in Microservices Architectures.
.- Carbon-aware Software Services.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Developer Experience.
.- Deep Surrogate Models of Serverless Batch ProcessingServices.
.- Enhancing Failure Resilience of Cloud-Edge Microservices:The FREEDA Approach [work-in-progress research project].
.- ML-Based Performance Modeling in Edge FaaS Systems.
.- pyStorageLess: Leveraging Von Neumann's Architecture to Abstract Storage Heterogeneity in Serverless Applications.
.- SafeAR: Privacy-maintaince in augmented reality applications (Submitted to Project Report Track).
.- SemT: A Service Model for Tabular Data Enrichment.
.- TOSCARISMA: Modeling CARISMA-based Service Communication using TOSCA.
.- Towards Web Assembly-based Federated Learning.
.- Workflow-Net Compositions for the Analysis of Service-Oriented Systems.
.- A Bio-Inspired Leader-based Energy Management System for Drone Fleets.
.- A Conceptual Framework for API Refactoring in Enterprise Application Architectures.
.- A Quantitative Privacy Evaluation Method Based on Tsallis Entropy for Trustworthy Data Sharing.
.- A Survey Study about the Impacts of Introducing a Microservices Cataloging Tool in a Large Software Development Unit.
.- Adaption via Selection: On Client Selection to Counter Concept Drift in Federated Learning.
.- Applying a Prompt Pattern Sequence for Decision-Making in Microservices Architectures.
.- Carbon-aware Software Services.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Developer Experience.
.- Deep Surrogate Models of Serverless Batch ProcessingServices.
.- Enhancing Failure Resilience of Cloud-Edge Microservices:The FREEDA Approach [work-in-progress research project].
.- ML-Based Performance Modeling in Edge FaaS Systems.
.- pyStorageLess: Leveraging Von Neumann's Architecture to Abstract Storage Heterogeneity in Serverless Applications.
.- SafeAR: Privacy-maintaince in augmented reality applications (Submitted to Project Report Track).
.- SemT: A Service Model for Tabular Data Enrichment.
.- TOSCARISMA: Modeling CARISMA-based Service Communication using TOSCA.
.- Towards Web Assembly-based Federated Learning.
.- Workflow-Net Compositions for the Analysis of Service-Oriented Systems.
.- A Conceptual Framework for API Refactoring in Enterprise Application Architectures.
.- A Quantitative Privacy Evaluation Method Based on Tsallis Entropy for Trustworthy Data Sharing.
.- A Survey Study about the Impacts of Introducing a Microservices Cataloging Tool in a Large Software Development Unit.
.- Adaption via Selection: On Client Selection to Counter Concept Drift in Federated Learning.
.- Applying a Prompt Pattern Sequence for Decision-Making in Microservices Architectures.
.- Carbon-aware Software Services.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency.
.- Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Developer Experience.
.- Deep Surrogate Models of Serverless Batch ProcessingServices.
.- Enhancing Failure Resilience of Cloud-Edge Microservices:The FREEDA Approach [work-in-progress research project].
.- ML-Based Performance Modeling in Edge FaaS Systems.
.- pyStorageLess: Leveraging Von Neumann's Architecture to Abstract Storage Heterogeneity in Serverless Applications.
.- SafeAR: Privacy-maintaince in augmented reality applications (Submitted to Project Report Track).
.- SemT: A Service Model for Tabular Data Enrichment.
.- TOSCARISMA: Modeling CARISMA-based Service Communication using TOSCA.
.- Towards Web Assembly-based Federated Learning.
.- Workflow-Net Compositions for the Analysis of Service-Oriented Systems.