Advances in Service-Oriented and Cloud Computing: International Workshops of ESOCC 2022 Wittenberg, Germany, March 22–24, 2022 Revised Selected Papers

Workshop Editors
Preface
Organization
Contents
First International Workshop on AI for Web Application Infrastructure and Cloud Platform Security (AWACS 2022)
	Preface to the AWACS 2022 Workshop
	Organization
	Workshop Co-organizers
	Program Committee
	Additional Reviewers
Towards a Metadata Management System for Provenance, Reproducibility and Accountability in Federated Machine Learning
	1 Introduction
	2 Background
		2.1 Federated Machine Learning
		2.2 Data Governance
		2.3 ML Metadata Management
	3 Related Work
	4 FML Metadata Management
	5 Metadata for Governance in FML
	6 Metadata Management System
		6.1 Architecture View
		6.2 Implementation
	7 Use Case Demonstration
		7.1 Metadata Uses
		7.2 Experiment Settings
		7.3 Assessment of Uses
	8 Conclusions and Future Work
	References
Towards a Secure Peer-to-Peer Federated Learning Framework
	1 Introduction
	2 Problem Statement
		2.1 Underlying Threat Model
		2.2 Federated Preprocessing of Training and Test Data
	3 Concept of the Decentralized P2P Framework
		3.1 Secure Model Aggregation
		3.2 Secure Preprocessing Tasks
	4 Experiments
		4.1 DNN Architecture and Example Dataset
		4.2 Procedure and Evaluation
	5 Related Work
	6 Conclusion and Future Work
	References
MIDA: Micro-flow Independent Detection of DDoS Attacks with CNNs
	1 Introduction
	2 MIDA in a Nutshell
	3 Traffic Aggregation
	4 Classification with CNNs
	5 Data Sets
	6 Performance Results
	7 Conclusion and Future Work
	References
ESOCC 2022 PhD Symposium
En
	ESOCC 2022 PhD Symposium Chairs
	Program Committee
Improving the Key Exchange Process of the eXtended Triple Diffie-Hellman Protocol with Blockchain
	1 Introduction
	2 Background and Related Work
	3 Motivation
	4 Design
	5 Implementation
	6 Experiments
	7 Conclusions and Future Work
	References
Towards Data Governance for Federated Machine Learning
	1 Introduction
	2 Related Work
	3 Hypothesis and Goals
	4 Methodology
		4.1 Study of the State of the Art
		4.2 Conception of Federated Machine Learning Data Governance
		4.3 Development of the Data Governance Solution
		4.4 Evaluation and Optimization, with Experimentation in both Simulated and Real Use Cases
	5 A Preliminary Approach for FML-DG
	6 Conclusions and Future Work
	References
ESOCC 2022 Projects Track
En
	ESOCC 2022 Projects Track Chair
	Program Committee
QuickFaaS: Providing Portability and Interoperability Between FaaS Platforms
	1 Introduction
	2 Challenges in FaaS Adoption
	3 QuickFaaS
		3.1 Function Definition
	4 Conclusion and Future Work
	References
Cloud Computing Continuum Research Topics and Challenges. A Multi-source Analysis
	1 Introduction
	2 Methodology
	3 Cloud Computing Continuum Research Topics and Challenges
	4 Conclusions
	References
Developing a New DevOps Modelling Language to Support the Creation of Infrastructure as Code
	1 Introduction
	2 Current IaC Approaches
	3 DOML Modelling Principles
		3.1 A Single Model for Multiple IaC Code Fragments
		3.2 Separation of Concerns and Multiple Modelling Layers
	4 An Example of a DOML Model
	5 Discussion
	References
Urban Heat Island Detection Utilizing Citizen Science
	1 Introduction
	2 System Architecture
	3 UHI Detection
	4 Discussion
	References
Using a Multi-sourced Methodology to Identify Challenges in Software Technologies Research
	1 Introduction
	2 Approach and Methodology to Determine the Research Challenges and Recommendations
	3 Identified Research Challenges
	References
ESOCC 2022 Industrial Track
En
	ESOCC 2022 Industrial Track Chair
Rethinking Monitoring for Cloud Environments: BMC Software AIOps Case Study
	1 Introduction
		1.1 BMC AIOps – Background
	2 A Service Centric Perspective on Noise Reduction
	3 Incremental Differential Clustering for Causality
	Reference
Author Index