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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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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. | UNINA-9910143001903321 |
| [Place of publication not identified], : IEEE Computer Society, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
