Cloud Computing and Services Science: 10th International Conference, CLOSER 2020, Prague, Czech Republic, May 7–9, 2020, Revised Selected Papers ... in Computer and Information Science, 1399)

Preface
Organization
Contents
Trusted Client-Side Encryption for Cloud Storage
	1 Introduction
		1.1 Contribution
		1.2 Outline
	2 Background
		2.1 Cloud Storage
		2.2 File and Disk Encryption
		2.3 Cryptomator
		2.4 Intel Software Guard Extensions Technology
	3 Related Work
		3.1 Cloud Storage Security and Privacy
		3.2 File and Disk Encryption with Intel SGX
		3.3 Cloud Storage with Intel SGX
	4 Proposal
	5 Performance Evaluation
		5.1 Experimental Setup
		5.2 Methodology
		5.3 File Writing Performance
		5.4 File Reading Performance
	6 Security Assessment
		6.1 Threat Model
		6.2 Intel SGX Security Assessment
		6.3 Cryptomator-SGX Security Assessment
	7 Limitations
	8 Future Work
	9 Conclusion
	References
Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective
	1 Introduction
	2 Programming Model
		2.1 Quantum Registers
		2.2 Quantum Operations
		2.3 Quantum Algorithms
		2.4 Quantum Software Stack
		2.5 Sample Research Questions
	3 Quantum as a Service
		3.1 Tooling
		3.2 Deployment and Quantum Application as a Service
		3.3 Sample Research Questions
	4 Removing Hardware Dependencies
		4.1 Problem
		4.2 Hardware-Independent Processing
		4.3 NISQ Analyzer
		4.4 Quantum Compiler
		4.5 Optimization of Quantum Algorithms
		4.6 Sample Research Questions
	5 Quantum Humanities: A Use Case from Quantum Machine Learning
		5.1 Quantum Humanities
		5.2 MUSE
		5.3 Potential Improvements
		5.4 Categorical Data
		5.5 Distance Measures and Feature Extraction
		5.6 Sample Research Questions
	6 Collaborative Quantum Application Platform
		6.1 Key Entities
		6.2 Requirements
		6.3 Architecture
		6.4 Sample Research Questions
	7 Conclusions
	References
A Framework for Comparative Evaluation of High-Performance Virtualized Networking Mechanisms
	1 Introduction
		1.1 Contributions
	2 Background
		2.1 Kernel-Based Networking and VNFs
		2.2 Bypassing the Kernel's Networking Stack
		2.3 Inter-container Communications with Kernel Bypass
		2.4 High-Performance Switching Among Containers
	3 Proposed Framework
	4 Experimental Results
		4.1 Testing Parameters
		4.2 Kernel-Based Networking
		4.3 Throughput Evaluations
		4.4 Throughput Scalability Evaluations
		4.5 Latency Performance Evaluations
		4.6 Performance and Computational Requirements
	5 Related Work
	6 Conclusions and Future Work
	References
Cloud Computing for Enabling Big Data Analysis
	1 Introduction
	2 Data Mining Cloud Framework (DMCF)
		2.1 Workflow Formalisms
		2.2 Workflow Examples
		2.3 Workflow Study Cases
	3 Parallel Social Data Analysis (ParSoDA)
		3.1 Reference Architecture and Execution Flow
		3.2 Usability and Scalability Evaluation
	4 Nubytics
		4.1 Architecture
		4.2 Services
	5 SMA4TD
		5.1 Steps 1-2: Definition of Events and Places-of-Interest
		5.2 Steps 3-4-5: Collection and Pre-processing of Geotagged Items, Identification of Users and Creation of the Input Dataset
		5.3 Step 6-7: Data Mining and Results Visualization
		5.4 Study Cases: FIFA World Cup 2014 and EXPO 2015
	6 RoI Mining
		6.1 Methodology
	7 Iterative Opinion Mining Using Neural Networks
		7.1 Case Study: The 2016 US Presidential Election
	8 Conclusions
	References
A Multi-cloud Parallel Selection Approach for Unlinked Microservice Mapped to Budget's Quota: The PUM2Q
	1 Introduction
	2 Example for PUM2Q
	3 Formulation
		3.1 Availability Requirement
		3.2 Response Time Requirement
		3.3 Cost Requirement
	4 PUM2Q Approach
		4.1 First Level: Determine Candidate Services for a Microservice
		4.2 Second Level: Determine a Candidate Combination from All Providers
		4.3 Third Level: Determine a Combination for a Microservice
	5 Performance Assessment
		5.1 Tool Description
		5.2 Setting Scenarios
		5.3 Experiments for PUM2Q
		5.4 Experiments for UM2Q
		5.5 Comparison Between PUM2Q and UM2Q
	6 Images/Related Work
	7 Conclusion
	References
Live Migration Timing Optimization Integration with VMware Environments
	1 Introduction
	2 Background
		2.1 Live Migration Configurations
		2.2 VMware Virtual Networking Configuration
	3 Cost Prediction Algorithm and Timing Optimization
		3.1 The Research Problem
		3.2 Cost Prediction Algorithm
		3.3 Timing Optimization Algorithm
	4 Integration with VMware vSphere
	5 Testing Results
	6 Conclusion
	References
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions
	1 Introduction
		1.1 Contributions
		1.2 Paper Organization
	2 Related Work
	3 Background Concepts
		3.1 Self-Organizing Maps
		3.2 VMware vRealize Operations Manager
	4 Proposed Approach
		4.1 Workflow
		4.2 SOM Implementation
		4.3 Hierarchical Grouping
		4.4 Alerting
	5 Experimental Results
		5.1 Multi-metric Analysis
		5.2 Hyper-parameters Grid Search
		5.3 Per-VNF Analysis
		5.4 Hierarchical Grouping
		5.5 Alerting
	6 Conclusions
	References
From DevOps to NoOps: Is It Worth It?
	1 Introduction
	2 Background
		2.1 DevOps-Based Cloud Model
		2.2 NoOps-Based Cloud Model
	3 Methodology
		3.1 Benchmarks
		3.2 Deployment Strategies
		3.3 Load Test Settings and Infrastructure
	4 Results
		4.1 Cinema Application
		4.2 Primes-Python Function
		4.3 Image-Processing Function
		4.4 Nodeinfo Function
	5 Discussion
	6 Related Work
	7 Conclusion
	8 Availability
	References
Fuzzy Container Orchestration for Self-adaptive Edge Architectures
	1 Introduction
	2 Background Concepts and Technologies
		2.1 Platform and Architecture Concepts
		2.2 Self-adaptiveness and Fuzziness Concepts
		2.3 Platform Tools and Technologies
		2.4 Towards a Lightweight Edge Platform
	3 Platform and Controller Architecture
		3.1 Platform and Cluster Configuration
		3.2 Platform Monitoring
	4 A Fuzzy Auto-scaling Controller
		4.1 Principles of Auto-scaling
		4.2 The Fuzzy Service
		4.3 Controller Calibration and Configuration
		4.4 Continuous Auto-scaling
	5 Controller Evaluation
		5.1 Evaluation Objectives and Metrics
		5.2 Evaluation Setup
		5.3 Evaluation Implementation
		5.4 Discussion of Results
	6 Related Work
	7 Conclusions
	References
Performance Management in Clustered Edge Architectures Using Particle Swarm Optimization
	1 Introduction
	2 Principles of Particle Swarm Optimization
		2.1 Particle Swarm Optimization Basics
		2.2 Basic Algorithm Definitions
		2.3 Population Generation
		2.4 Selection of Primary Nodes
		2.5 Evaluation of the Objective Function
		2.6 Recording the Best Position
	3 Performance Optimization for Clustered Architectures
		3.1 Edge Request Management
		3.2 Orchestration Controller Design
		3.3 Performance Optimization
		3.4 PSO-Based Performance Optimization
		3.5 Algorithm Definition (Pseudocode)
	4 Framework Implementation and Evaluation
		4.1 Test Environment and Objectives
		4.2 Definition of PSO and BAT Parameters
		4.3 Comparison of Fitness Values
		4.4 Scenario-Based Comparison: Overview
		4.5 Scenario 1: Request Variation
		4.6 Scenario 2: Edge Node Variation
		4.7 Scenario 3: Iteration Variation
	5 Related Work
	6 Conclusions and Future Work
	References
Investigating IoT Application Behaviour in Simulated Fog Environments
	1 Introduction
	2 Related Approaches in Fog-Cloud Simulation
	3 Fog Modelling in Two Simulators
	4 IoT Application Scenarios and Architecture Configuration for the Evaluation
	5 Results of the First Evaluation Round
	6 Further Analysis of the Investigated Simulators
	7 The Second Evaluation Round
	8 Result of the Third Evaluation Round
	9 Conclusions
	References
A Case for User-Defined Governance of Pure Edge Data-Driven Applications
	1 Introduction
	2 Community-Governed Services Model
		2.1 Definition
		2.2 System Model
		2.3 Application Requirements
	3 Case Study
	4 Materials and Methods
		4.1 Data Source
		4.2 Simulation Model
		4.3 Defining Trust Relationship
		4.4 Experimental Design
		4.5 Evaluation Metrics
	5 Results and Discussion
		5.1 Best Case Analysis: No Restrictions on Data Sharing
		5.2 Analysis of Data Sharing Using Synthetic Social Network Restrictions
		5.3 Analysis of Data Sharing Using Real Social Network Restrictions
	6 Related Work
	7 Conclusions
	References
Cluster-Agnostic Orchestration of Containerised Applications
	1 Introduction
	2 Related Work
	3 The TOSCA Specification
	4 Analysis of Cluster Orchestrators
	5 Achieving Cluster Interoperability
	6 System Design and Implementation
		6.1 Framework Architecture
		6.2 YAML Parsing
		6.3 BPMN Plans
		6.4 Service Connectors
		6.5 Prototype Implementation
	7 Experiments
		7.1 Use Case
		7.2 Performance Evaluation
	8 Conclusion
	References
Self-healing in the Scope of Software-Based Computer and Mobile Networks
	1 Introduction
	2 Background
		2.1 Fault Tolerance in the Data Plane
		2.2 Fault Tolerance in the Control and Management Planes
		2.3 Related Work
	3 Self-healing Framework
		3.1 Framework Architecture
		3.2 Monitoring of Different Network Layers
		3.3 Recovery by Detection and Prediction
		3.4 The Network Database
	4 Use Cases
		4.1 Control Paths Use Case
		4.2 Management Paths Use Case
		4.3 SDN Controller Migration Use Case
		4.4 SDN Controller Instantiating Use Case
	5 Concluding Remarks and Future Work
	References
Author Index