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Cloud Computing and Service Science : 7th International Conference, CLOSER 2017, Porto, Portugal, April 24–26, 2017, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Jorge Cardoso, Markus Helfert, Claus Pahl
Cloud Computing and Service Science : 7th International Conference, CLOSER 2017, Porto, Portugal, April 24–26, 2017, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Jorge Cardoso, Markus Helfert, Claus Pahl
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIV, 333 p. 114 illus.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Operating systems (Computers)
Application software
Computer hardware
Software Engineering
Operating Systems
Information Systems Applications (incl. Internet)
Computer Hardware
ISBN 3-319-94959-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Performance Principles for Trusted Computing with Intel SGX -- About the Complexity to Transfer Cloud Applications at Runtime and How Container Platforms can Contribute? -- A Decentralized on Demand Cloud CPU Design with Instruction Level Virtualization -- Heterogeneous Resource Management and Orchestration in Cloud Environments -- Using Docker Swarm with a User-centric Decision-making Framework for Cloud Application Migration -- A Decentralized Cloud Management Architecture based on Application Autonomous Systems -- From Metadata Catalogs to Distributed Data Processing for Smart City Platforms and Services: A Study on the Interplay of CKAN and Hadoop -- An Optimization Model to Reduce Energy Consumption in Software-Defined Data Centers -- The Benefits of using Experimental Exploration for Cloud Migration Analysis and Planning -- Dynamic Reconfiguration of Computer Platforms at the Hardware Device Level for High Performance Computing Infrastructure as a Service -- Controlling Cloud-based Systems for Elasticity Test Reproduction -- A Flexible Semantic KPI Measurement System -- A Framework for the Orchestration and Provision of Cloud Services based on TOSCA and BPMN -- Component Migration in a Trans-cloud Environment -- A Lexical and Semantical Analysis on REST Cloud Computing APIs.
Record Nr. UNINA-9910299295303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud Computing and Services Science : 12th International Conference, CLOSER 2022, Virtual Event, April 27–29, 2022, and 13th International Conference, CLOSER 2023, Prague, Czech Republic, April 26–28, 2023, Revised Selected Papers / / edited by Maarten van Steen, Donald Ferguson, Claus Pahl
Cloud Computing and Services Science : 12th International Conference, CLOSER 2022, Virtual Event, April 27–29, 2022, and 13th International Conference, CLOSER 2023, Prague, Czech Republic, April 26–28, 2023, Revised Selected Papers / / edited by Maarten van Steen, Donald Ferguson, Claus Pahl
Autore van Steen Maarten
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (226 pages)
Disciplina 005.1
Altri autori (Persone) FergusonDonald
PahlClaus
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Software Engineering
ISBN 3-031-68165-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security Aware Scheduling of Multiple Scientific Workflows in Cloud -- Empowering Statistical Analysis in FaaS Environments Through the Orama Framework -- Evaluating Microservices Communication Relationships for Scheduling Containers on Kubernetes Clusters -- Security Evaluation in Software Defined Networks -- A Distributed Tool for Monitoring and Benchmarking a National Federated Cloud -- Metamodel and Formalization to Model, Deploy, and Execute Quantum Workflows -- Edge AI Deployment and Stream Based Time Series Classification Within ARTHUR -- Misconfiguration of Cluster and IoT Systems Recovery Extended Experiments -- Orchestrating Applications in the Cloud to Edge Continuum with Sophos -- Fog Robotics Infrastructures Simulation based Sizing Approach.
Record Nr. UNINA-9910881099203321
van Steen Maarten  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud computing and services science : 11th International conference, closer 2021, virtual event, April 28-30, 2021, revised selected papers / / edited by Donald Ferguson, Markus Helfert, and Claus Pahl
Cloud computing and services science : 11th International conference, closer 2021, virtual event, April 28-30, 2021, revised selected papers / / edited by Donald Ferguson, Markus Helfert, and Claus Pahl
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (126 pages)
Disciplina 005.1
Collana Communications in Computer and Information Science
Soggetto topico Computer software - Development
ISBN 3-031-21637-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Tailoring Technology-Agnostic Deployment Models to Production-Ready Deployment Technologies -- 1 Introduction -- 2 Background and Motivation -- 2.1 Deployment Models, Deployment Technologies, and EDMM -- 2.2 Motivating Scenario -- 3 Extending the EDMM Approach with Tailoring Support -- 3.1 Step 1: Technology-Independent Application Modeling -- 3.2 Step 2: Technology Decision Support and Tailoring for EDMM Models -- 3.3 Step 3: Transform EDMM Model into DTSM -- 3.4 Step 4: Technology-specific Deployment Execution -- 4 The Extended EDMM Modeling and Transformation Framework -- 4.1 Architecture of the Extended EDMM Framework -- 4.2 Prototypical Implementation -- 5 Case Study and Evaluation -- 5.1 First Deployment of PetClinic -- 5.2 Migrating the Deployment of PetClinic to Other Technologies -- 5.3 Migrating to a PaaS Deployment of PetClinic -- 5.4 Migrating to a Technology Not Supporting the Deployment -- 6 Related Work -- 7 Conclusions -- References -- Toward Secure VMs Allocation: Analysis of VMs Allocation Behaviours in the Cloud Computing Environments -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 3.1 Threat Model -- 3.2 Secure VMs Allocation Model -- 4 Secure VMs Allocation Algorithm -- 4.1 Secure Stacking Algorithm (SS) -- 5 Evaluation -- 5.1 Allocation Behaviours Comparison -- 5.2 Experimental Setup -- 5.3 Results of Malicious Co-residency Respect to VMs Type and Under Limited Resources Availability -- 5.4 Results of VMs Migrations -- 5.5 Results of PMs Usage -- 6 Conclusion -- References -- Risk Analysis Automation Process in IT Security for Cloud Applications -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 4 System Modeling -- 5 Threat Modelling -- 6 Risk Rating -- 6.1 Threat Agent Selection and Rating -- 6.2 Vulnerability Factors -- 6.3 Impact Factors.
6.4 Overall Evaluation and Input Collection -- 7 Case Study -- 7.1 Modeling -- 7.2 Threat Selection -- 7.3 Risk Analysis -- 8 Conclusion -- References -- AI Quality Engineering for Machine Learning Based IoT Data Processing -- 1 Introduction -- 2 Explainable AI and AI Engineering -- 3 Continuous AI Data and Model Quality Management -- 3.1 Quality Principles -- 3.2 IoT Use Case -- 4 DaaS Quality Assessment and Problem Cause Analysis -- 4.1 Quality Layers -- 4.2 MAPE-K Service Quality Loop -- 5 An IoT-Edge Traffic Management Use Case -- 5.1 Quality and Symptom Analysis -- 5.2 Root Cause Analysis and Remedial Action Recommendation -- 5.3 Step 1 Metric Calculation and Step 2 Problem Assessment -- 5.4 Step 3 - Root Cause Analysis and Recommendation -- 5.5 Transferability -- 6 Related Work -- 7 Conclusions -- References -- Quality of Service Support Through a Self-adaptive System in Edge Computing Environments -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Proposed QoS Framework -- 3.2 Algorithms -- 4 Experimental Design -- 4.1 Experiments' Objective and Scenario -- 4.2 Workload Dataset -- 4.3 Evaluation Metrics -- 4.4 Simulation Setting -- 5 Performance Evaluation -- 5.1 Objectives' Evaluation -- 5.2 Results Discussion -- 5.3 Framework Design -- 5.4 Results Summary and Recommendations -- 6 Conclusion and Future Work -- References -- Author Index.
Record Nr. UNINA-9910639880403321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud computing and services science : 11th International conference, closer 2021, virtual event, April 28-30, 2021, revised selected papers / / edited by Donald Ferguson, Markus Helfert, and Claus Pahl
Cloud computing and services science : 11th International conference, closer 2021, virtual event, April 28-30, 2021, revised selected papers / / edited by Donald Ferguson, Markus Helfert, and Claus Pahl
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (126 pages)
Disciplina 005.1
Collana Communications in Computer and Information Science
Soggetto topico Computer software - Development
ISBN 3-031-21637-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Tailoring Technology-Agnostic Deployment Models to Production-Ready Deployment Technologies -- 1 Introduction -- 2 Background and Motivation -- 2.1 Deployment Models, Deployment Technologies, and EDMM -- 2.2 Motivating Scenario -- 3 Extending the EDMM Approach with Tailoring Support -- 3.1 Step 1: Technology-Independent Application Modeling -- 3.2 Step 2: Technology Decision Support and Tailoring for EDMM Models -- 3.3 Step 3: Transform EDMM Model into DTSM -- 3.4 Step 4: Technology-specific Deployment Execution -- 4 The Extended EDMM Modeling and Transformation Framework -- 4.1 Architecture of the Extended EDMM Framework -- 4.2 Prototypical Implementation -- 5 Case Study and Evaluation -- 5.1 First Deployment of PetClinic -- 5.2 Migrating the Deployment of PetClinic to Other Technologies -- 5.3 Migrating to a PaaS Deployment of PetClinic -- 5.4 Migrating to a Technology Not Supporting the Deployment -- 6 Related Work -- 7 Conclusions -- References -- Toward Secure VMs Allocation: Analysis of VMs Allocation Behaviours in the Cloud Computing Environments -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 3.1 Threat Model -- 3.2 Secure VMs Allocation Model -- 4 Secure VMs Allocation Algorithm -- 4.1 Secure Stacking Algorithm (SS) -- 5 Evaluation -- 5.1 Allocation Behaviours Comparison -- 5.2 Experimental Setup -- 5.3 Results of Malicious Co-residency Respect to VMs Type and Under Limited Resources Availability -- 5.4 Results of VMs Migrations -- 5.5 Results of PMs Usage -- 6 Conclusion -- References -- Risk Analysis Automation Process in IT Security for Cloud Applications -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 4 System Modeling -- 5 Threat Modelling -- 6 Risk Rating -- 6.1 Threat Agent Selection and Rating -- 6.2 Vulnerability Factors -- 6.3 Impact Factors.
6.4 Overall Evaluation and Input Collection -- 7 Case Study -- 7.1 Modeling -- 7.2 Threat Selection -- 7.3 Risk Analysis -- 8 Conclusion -- References -- AI Quality Engineering for Machine Learning Based IoT Data Processing -- 1 Introduction -- 2 Explainable AI and AI Engineering -- 3 Continuous AI Data and Model Quality Management -- 3.1 Quality Principles -- 3.2 IoT Use Case -- 4 DaaS Quality Assessment and Problem Cause Analysis -- 4.1 Quality Layers -- 4.2 MAPE-K Service Quality Loop -- 5 An IoT-Edge Traffic Management Use Case -- 5.1 Quality and Symptom Analysis -- 5.2 Root Cause Analysis and Remedial Action Recommendation -- 5.3 Step 1 Metric Calculation and Step 2 Problem Assessment -- 5.4 Step 3 - Root Cause Analysis and Recommendation -- 5.5 Transferability -- 6 Related Work -- 7 Conclusions -- References -- Quality of Service Support Through a Self-adaptive System in Edge Computing Environments -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Proposed QoS Framework -- 3.2 Algorithms -- 4 Experimental Design -- 4.1 Experiments' Objective and Scenario -- 4.2 Workload Dataset -- 4.3 Evaluation Metrics -- 4.4 Simulation Setting -- 5 Performance Evaluation -- 5.1 Objectives' Evaluation -- 5.2 Results Discussion -- 5.3 Framework Design -- 5.4 Results Summary and Recommendations -- 6 Conclusion and Future Work -- References -- Author Index.
Record Nr. UNISA-996503562903316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cloud computing and services science : 10th international conference, CLOSER 2020, Prague, Czech Republic, May 7-9, 2020, revised selected papers / / edited by Donald Ferguson, Claus Pahl, and Markus Helfert
Cloud computing and services science : 10th international conference, CLOSER 2020, Prague, Czech Republic, May 7-9, 2020, revised selected papers / / edited by Donald Ferguson, Claus Pahl, and Markus Helfert
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (357 pages) : illustrations
Disciplina 004.6782
Collana Communications in Computer and Information Science
Soggetto topico Cloud computing
ISBN 3-030-72369-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- 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.
Record Nr. UNINA-9910484296803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud computing and services science : 10th international conference, CLOSER 2020, Prague, Czech Republic, May 7-9, 2020, revised selected papers / / edited by Donald Ferguson, Claus Pahl, and Markus Helfert
Cloud computing and services science : 10th international conference, CLOSER 2020, Prague, Czech Republic, May 7-9, 2020, revised selected papers / / edited by Donald Ferguson, Claus Pahl, and Markus Helfert
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (357 pages) : illustrations
Disciplina 004.6782
Collana Communications in Computer and Information Science
Soggetto topico Cloud computing
ISBN 3-030-72369-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- 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.
Record Nr. UNISA-996464438703316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
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Cloud Computing and Services Science [[electronic resource] ] : 9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2–4, 2019, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Claus Pahl, Markus Helfert
Cloud Computing and Services Science [[electronic resource] ] : 9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2–4, 2019, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Claus Pahl, Markus Helfert
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (x, 246 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Computer communication systems
Application software
Special purpose computers
Architecture, Computer
Operating systems (Computers)
Software Engineering
Computer Communication Networks
Information Systems Applications (incl. Internet)
Special Purpose and Application-Based Systems
Computer System Implementation
Operating Systems
ISBN 3-030-49432-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human-computer Systems for Decision Support: From Cloud to Self-organizing Environments -- Designing an IoT-Cloud Gateway for the Internet of Living Things -- Development and Operation of Elastic Parallel Tree Search Applications using TASKWORK -- Rule-based Security Monitoring of Containerized Environments -- A Feasibility Study of an Agile and Data-centric Method for Prototyping Services based on Open Transport Data -- True Service-oriented Metamodeling Architecture -- A Decomposition and Metric-based Evaluation Framework for Microservices -- A Containerized Edge Cloud Architecture for Data Stream Processing -- Data Flows Mapping in Fog Computing Infrastructures using Evolutionary Inspired Heuristic -- MPI To Go: Container Clusters for MPI Applications -- Evolving Adaptation Rules at Runtime for Multi-cloud Applications.
Record Nr. UNISA-996465362503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cloud Computing and Services Science : 9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2–4, 2019, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Claus Pahl, Markus Helfert
Cloud Computing and Services Science : 9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2–4, 2019, Revised Selected Papers / / edited by Donald Ferguson, Víctor Méndez Muñoz, Claus Pahl, Markus Helfert
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (x, 246 pages)
Disciplina 004
004.6782
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Computer communication systems
Application software
Special purpose computers
Architecture, Computer
Operating systems (Computers)
Software Engineering
Computer Communication Networks
Information Systems Applications (incl. Internet)
Special Purpose and Application-Based Systems
Computer System Implementation
Operating Systems
ISBN 3-030-49432-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human-computer Systems for Decision Support: From Cloud to Self-organizing Environments -- Designing an IoT-Cloud Gateway for the Internet of Living Things -- Development and Operation of Elastic Parallel Tree Search Applications using TASKWORK -- Rule-based Security Monitoring of Containerized Environments -- A Feasibility Study of an Agile and Data-centric Method for Prototyping Services based on Open Transport Data -- True Service-oriented Metamodeling Architecture -- A Decomposition and Metric-based Evaluation Framework for Microservices -- A Containerized Edge Cloud Architecture for Data Stream Processing -- Data Flows Mapping in Fog Computing Infrastructures using Evolutionary Inspired Heuristic -- MPI To Go: Container Clusters for MPI Applications -- Evolving Adaptation Rules at Runtime for Multi-cloud Applications.
Record Nr. UNINA-9910410038103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud Computing and Services Science : 8th International Conference, CLOSER 2018, Funchal, Madeira, Portugal, March 19-21, 2018, Revised Selected Papers / / edited by Víctor Méndez Muñoz, Donald Ferguson, Markus Helfert, Claus Pahl
Cloud Computing and Services Science : 8th International Conference, CLOSER 2018, Funchal, Madeira, Portugal, March 19-21, 2018, Revised Selected Papers / / edited by Víctor Méndez Muñoz, Donald Ferguson, Markus Helfert, Claus Pahl
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 233 p. 104 illus., 40 illus. in color.)
Disciplina 004.6782
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Artificial intelligence
Computer communication systems
Architecture, Computer
Microprogramming 
Input-output equipment (Computers)
Software Engineering
Artificial Intelligence
Computer Communication Networks
Computer System Implementation
Control Structures and Microprogramming
Input/Output and Data Communications
ISBN 3-030-29193-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CELA: Cost-Efficient, Location-aware VM and Data Placement in Geo-distributed DCs -- Will Cloud Gain an Edge, or, CLOSER, to the Edge -- Model-based Generation of Self-adaptive Cloud Services -- A Record/Replay Debugger for Service Development on the Cloud -- Smart Connected Digital Factories: Unleashing the Power of Industry 4.0* -- Interoperability between SaaS and Data Layers: Enhancing the MIDAS Middleware -- Continuous Architecting with Microservices and DevOps: A Systematic Mapping Study -- Towards Pricing-aware Consolidation Methods for Cloud Datacenters -- Optimising QoS-assurance, Resource Usage and Cost of Fog Application Deployments -- Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration -- Malicious Behavior Classification in PaaS.
Record Nr. UNINA-9910349288603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of the fifth IEEE European Conference on Web Services : 26-28 November 2007 : Halle, Germany
Proceedings of the fifth IEEE European Conference on Web Services : 26-28 November 2007 : Halle, Germany
Pubbl/distr/stampa [Place of publication not identified], : IEEE Computer Society, 2007
Disciplina 006.7
Soggetto topico Web services
World Wide Web
Web databases
Telecommunications
Electrical & Computer Engineering
Engineering & Applied Sciences
ISBN 1-5090-8646-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996211053203316
[Place of publication not identified], : IEEE Computer Society, 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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