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Adaptive Resource Management and Scheduling for Cloud Computing [[electronic resource] ] : Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru
| Adaptive Resource Management and Scheduling for Cloud Computing [[electronic resource] ] : Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 187 p. 77 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer networks Application software Software engineering Computer programming Computer simulation Computer Communication Networks Computer and Information Systems Applications Software Engineering Programming Techniques Computer Modelling |
| ISBN | 3-319-28448-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine and the Impact of Resource Augmentation -- Using Performance Forecasting to Accelerate Elasticity -- Parametric Analysis of Mobile Cloud Computing Frameworks using Simulation Modeling -- Bandwidth Aware Resource Optimization for SMT Processors -- User-guided provisioning in federated clouds for distributed calculations -- Compute on the go: A case of mobile-cloud collaborative computing under mobility -- Impact of Virtual Machines Heterogeneity on Datacenter Power Consumption in Data-Intensive Applications -- Implementing the Cloud Software to Data approach for OpenStack environments -- Is Cloud Self-organization Feasible -- Cloud Services composition through Cloud Patterns -- An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures -- Partitioning graph databases by using access patterns -- Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration. |
| Record Nr. | UNISA-996466364303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Resource Management and Scheduling for Cloud Computing : Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru
| Adaptive Resource Management and Scheduling for Cloud Computing : Second International Workshop, ARMS-CC 2015, Held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, Donostia-San Sebastián, Spain, July 20, 2015, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 187 p. 77 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer networks Application software Software engineering Computer programming Computer simulation Computer Communication Networks Computer and Information Systems Applications Software Engineering Programming Techniques Computer Modelling |
| ISBN | 3-319-28448-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine and the Impact of Resource Augmentation -- Using Performance Forecasting to Accelerate Elasticity -- Parametric Analysis of Mobile Cloud Computing Frameworks using Simulation Modeling -- Bandwidth Aware Resource Optimization for SMT Processors -- User-guided provisioning in federated clouds for distributed calculations -- Compute on the go: A case of mobile-cloud collaborative computing under mobility -- Impact of Virtual Machines Heterogeneity on Datacenter Power Consumption in Data-Intensive Applications -- Implementing the Cloud Software to Data approach for OpenStack environments -- Is Cloud Self-organization Feasible -- Cloud Services composition through Cloud Patterns -- An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures -- Partitioning graph databases by using access patterns -- Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration. |
| Record Nr. | UNINA-9910484260403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Resource Management and Scheduling for Cloud Computing [[electronic resource] ] : First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru
| Adaptive Resource Management and Scheduling for Cloud Computing [[electronic resource] ] : First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 217 p. 68 illus.) |
| Disciplina | 004.6782 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer Science |
| ISBN | 3-319-13464-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Multi-Capacity Queuing Mechanism in Multi-Dimensional Resource Scheduling -- A Green Scheduling Policy for Cloud Computing -- A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud -- An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment -- Power-efficient Assignment of Virtual Machines to Physical Machines -- Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems -- Towards Type-based Optimizations in Distributed Applications using ABS and JAVA 8 -- A Parallel Genetic Algorithm Framework for Cloud Computing Applications. |
| Record Nr. | UNISA-996210519903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive Resource Management and Scheduling for Cloud Computing : First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru
| Adaptive Resource Management and Scheduling for Cloud Computing : First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers / / edited by Florin Pop, Maria Potop-Butucaru |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 217 p. 68 illus.) |
| Disciplina | 004.6782 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer Science |
| ISBN | 3-319-13464-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Multi-Capacity Queuing Mechanism in Multi-Dimensional Resource Scheduling -- A Green Scheduling Policy for Cloud Computing -- A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud -- An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment -- Power-efficient Assignment of Virtual Machines to Physical Machines -- Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems -- Towards Type-based Optimizations in Distributed Applications using ABS and JAVA 8 -- A Parallel Genetic Algorithm Framework for Cloud Computing Applications. |
| Record Nr. | UNINA-9910484666903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data platforms and applications : case studies, methods, techniques, and performance evaluation / / Florin Pop, Gabriel Neagu, editors
| Big data platforms and applications : case studies, methods, techniques, and performance evaluation / / Florin Pop, Gabriel Neagu, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 005.7 |
| Collana | Computer Communications and Networks |
| Soggetto topico | Big data |
| ISBN | 3-030-38836-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Editors -- 1 Data Center for Smart Cities: Energy and Sustainability Issue -- 1.1 Introduction -- 1.2 State-of-The-Art Overview -- 1.3 Methodology -- 1.3.1 Data Center Facilities and Dataset Description -- 1.3.2 Data Analysis -- 1.3.3 Metrics -- 1.3.4 Energy Waste Analysis -- 1.4 Results: DC Cluster Energy Consumption -- 1.4.1 Energy Use by Applications -- 1.4.2 Energy Analysis of Queues of Jobs -- 1.4.3 Energy Use by Parallel and Serial Jobs -- 1.4.4 Assessment of Useful Work -- 1.4.5 Assessment of Energy Waste -- 1.4.6 Sustainability Analysis -- 1.5 Discussion -- 1.5.1 Energy Efficiency Benefits and Concerns of Jobs Execution in Parallel Mode -- 1.5.2 Data Center Energy Efficiency Policies and Strategies -- 1.5.3 Sustainability-Oriented DC -- 1.6 Conclusion -- References -- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Processes -- 2.1 Introduction -- 2.2 Background -- 2.2.1 IoT for Smart Manufacturing Processes -- 2.2.2 Machine Learning Approaches for Manufacturing Process Analysis -- 2.2.3 Manufacturing Processes Optimization Literature Approaches -- 2.2.4 Bio-Inspired Techniques for Tuning the Parameters of Machine Learning Models -- 2.2.5 Approaches Used in Our Research for the Analysis of the Faults in Manufacturing Processes -- 2.3 Materials and Methods -- 2.3.1 Architectural Prototype for Simulating the Manufacturing of FL Series Regulators -- 2.3.2 Machine Learning Methodology for Detecting Faulty Products in Discrete Manufacturing Processes -- 2.3.3 Data Preprocessing in KNIME (Konstanz Information Miner) -- 2.3.4 Discrete Manufacturing Processes Optimization Based on Big Data Technologies -- 2.4 Results -- 2.4.1 Description of the Datasets Used in Experiments -- 2.4.2 Classification Results -- 2.5 Discussion -- 2.6 Conclusions.
References -- 3 An Empirical Study on Teleworking Among Slovakia's Office-Based Academics -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Meaning of Telecommuting or Teleworking -- 3.3.1 Teleworking in Slovakia -- 3.4 Office-Based Teleworking Results -- 3.5 Discussion -- 3.6 Conclusions -- References -- 4 Data and Systems Heterogeneity: Analysis on Data, Processing, Workload, and Infrastructure -- 4.1 Introduction -- 4.2 Data Types, Formats, and Models -- 4.3 Processing Models and Platforms -- 4.4 Workload Types -- 4.5 Infrastructure Types -- 4.6 Conclusion -- References -- 5 exhiSTORY: Smart Self-organizing Exhibits -- 5.1 Introduction -- 5.2 The Stories Told by Exhibits -- 5.3 The Smart Exhibit -- 5.3.1 Centralized System Control -- 5.3.2 Automated Exhibit Geolocation -- 5.3.3 Security Aspects -- 5.3.4 Selecting an Implementation Option for Smart Exhibits -- 5.4 System Architecture -- 5.4.1 The Smart Space -- 5.4.2 The Knowledge Base -- 5.4.3 The Intelligent Modules -- 5.5 The exhiSTORY System in Operation -- 5.6 Discussion and Conclusions -- References -- 6 IoT Cloud Security Design Patterns -- 6.1 Introduction -- 6.2 Design of IoT Architecture Layers -- 6.2.1 Security Aspects -- 6.3 IoT Network Design Patterns -- 6.3.1 Security of IoT Networks -- 6.3.2 Design Patterns for a Secure IoT Network -- 6.4 IoT Cloud Platform Design Patterns -- 6.4.1 Security Division Pattern -- 6.4.2 Digital Twin Pattern -- 6.4.3 Secure Design Through Microservices -- 6.4.4 Push Notification Pattern -- 6.4.5 Cloud and Smartphone Management Pattern -- 6.4.6 Cloud-Assisted Network Access Pattern -- 6.5 Discussion and Conclusion -- References -- 7 Cloud-Based mHealth Streaming IoT Processing -- 7.1 Introduction -- 7.2 Overview of Underlying Technology for mHealth Solutions -- 7.3 Overview of IoT mHealth Solutions -- 7.4 Cloud-Based Architectures. 7.5 Issues for Streaming mHealth IoT Solutions -- 7.6 Architectures for Streaming mHealth IoT Solutions -- 7.7 Discusion -- 7.7.1 Comparison of Architectural Concepts -- 7.7.2 Benefits -- 7.7.3 Use Case: A Monitoring Center Based on Streaming IoT mHealth Solutions -- 7.8 Conclusion -- References -- 8 A System for Monitoring Water Quality Parameters in Rivers. Challenges and Solutions -- 8.1 Introduction -- 8.2 Water Quality Monitoring Systems Challenges -- 8.2.1 Water Quality Parameters Acquisition Using WSNs -- 8.2.2 Pollution Detection -- 8.2.3 Standards for Hydrographic and Monitoring Data -- 8.3 A Service-Based System Architecture for Water Quality Monitoring -- 8.3.1 Data Sources -- 8.3.2 Data Storage, Processing and Data Provision Services -- 8.3.3 Information Services -- 8.4 A Pollution Detection System for Somes River -- 8.4.1 Data Acquisitions and Storage -- 8.4.2 Discharge Computation -- 8.4.3 The Rule-Based Automatic Assessment of Water Quality and Pollution Alert Service -- 8.4.4 Simulation of Pollutant Propagation -- 8.4.5 The Water Quality Information Web Application -- 8.5 Conclusions -- References -- 9 A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments -- 9.1 Introduction -- 9.2 Cloud Storage Encryption Prerequisites -- 9.3 Scalable Cloud Storage Encryption Schemes -- 9.4 Technology Survey Regarding Service Providers -- 9.5 Technology Survey Regarding Classic and Emerging Cryptographic Primitives -- 9.5.1 Confidentiality Primitives -- 9.5.2 Integrity Primitives -- 9.6 Technology Survey Regarding Third-Party Applications -- 9.6.1 Viivo -- 9.6.2 AES Crypt -- 9.7 Proposed Solution -- 9.7.1 Architecture -- 9.7.2 General Description -- 9.7.3 The Java Card Applet -- 9.7.4 Storage Layout and Data Structures -- References. 10 Energy Efficiency of Arduino Sensors Platform Based on Mobile-Cloud: A Bicycle Lights Use-Case -- 10.1 Introduction -- 10.2 Mobile Cloud Computing -- 10.3 The System for Energy Efficiency of Arduino Sensors -- 10.4 Smart Bicycle Lighting Architecture -- 10.5 Conclusions -- References -- 11 Cloud-Enabled Modeling of Sensor Networks in Educational Settings -- 11.1 Introduction -- 11.2 Related Work -- 11.2.1 Sensor Cloud -- 11.2.2 Education Cloud -- 11.3 Sensor Network Modeling -- 11.3.1 Language and Tools -- 11.3.2 Extensions and Model Interpreters -- 11.4 System Architecture -- 11.5 Educational Service in Cloud -- 11.5.1 Service Request and Handling -- 11.5.2 The Provisioning Process -- 11.6 Experimental Results -- 11.7 Conclusion -- References -- 12 Methods and Techniques for Automatic Identification System Data Reduction -- 12.1 Introduction -- 12.2 Related Work -- 12.3 AIS Technology -- 12.4 Algorithm Analysis -- 12.4.1 Analyzing the Data Set -- 12.5 Experimental Evaluation -- 12.5.1 Analyzed Data -- 12.5.2 Data Reduction Applied on AIS Data Set -- 12.5.3 Data Visualization -- 12.6 Conclusion and Future Work -- References -- 13 Machine-to-Machine Model for Water Resource Sharing in Smart Cities -- 13.1 Introduction -- 13.2 Current Stage of Development in the Field -- 13.2.1 EOMORES Project-Copernicus Platform -- 13.2.2 AquaWatch Project -- 13.2.3 SmartWater4Europe Project -- 13.2.4 OPC UA with MEGA Model Architecture -- 13.2.5 WATER-M Project -- 13.3 Smart City Water Management Available Technologies -- 13.3.1 GIS (Geographic Information System) -- 13.3.2 IBM Water Management Platform -- 13.3.3 TEMBOO Platform-IoT Applications -- 13.3.4 RoboMQ -- 13.4 Proposed Model and Possible Directions -- 13.5 Possibilities of Implementation -- 13.5.1 Message-Oriented Middleware-RabbitMQ -- 13.6 Conclusions -- References -- Index. |
| Record Nr. | UNINA-9910502999503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data platforms and applications : case studies, methods, techniques, and performance evaluation / / Florin Pop, Gabriel Neagu, editors
| Big data platforms and applications : case studies, methods, techniques, and performance evaluation / / Florin Pop, Gabriel Neagu, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 005.7 |
| Collana | Computer Communications and Networks |
| Soggetto topico | Big data |
| ISBN | 3-030-38836-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Editors -- 1 Data Center for Smart Cities: Energy and Sustainability Issue -- 1.1 Introduction -- 1.2 State-of-The-Art Overview -- 1.3 Methodology -- 1.3.1 Data Center Facilities and Dataset Description -- 1.3.2 Data Analysis -- 1.3.3 Metrics -- 1.3.4 Energy Waste Analysis -- 1.4 Results: DC Cluster Energy Consumption -- 1.4.1 Energy Use by Applications -- 1.4.2 Energy Analysis of Queues of Jobs -- 1.4.3 Energy Use by Parallel and Serial Jobs -- 1.4.4 Assessment of Useful Work -- 1.4.5 Assessment of Energy Waste -- 1.4.6 Sustainability Analysis -- 1.5 Discussion -- 1.5.1 Energy Efficiency Benefits and Concerns of Jobs Execution in Parallel Mode -- 1.5.2 Data Center Energy Efficiency Policies and Strategies -- 1.5.3 Sustainability-Oriented DC -- 1.6 Conclusion -- References -- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Processes -- 2.1 Introduction -- 2.2 Background -- 2.2.1 IoT for Smart Manufacturing Processes -- 2.2.2 Machine Learning Approaches for Manufacturing Process Analysis -- 2.2.3 Manufacturing Processes Optimization Literature Approaches -- 2.2.4 Bio-Inspired Techniques for Tuning the Parameters of Machine Learning Models -- 2.2.5 Approaches Used in Our Research for the Analysis of the Faults in Manufacturing Processes -- 2.3 Materials and Methods -- 2.3.1 Architectural Prototype for Simulating the Manufacturing of FL Series Regulators -- 2.3.2 Machine Learning Methodology for Detecting Faulty Products in Discrete Manufacturing Processes -- 2.3.3 Data Preprocessing in KNIME (Konstanz Information Miner) -- 2.3.4 Discrete Manufacturing Processes Optimization Based on Big Data Technologies -- 2.4 Results -- 2.4.1 Description of the Datasets Used in Experiments -- 2.4.2 Classification Results -- 2.5 Discussion -- 2.6 Conclusions.
References -- 3 An Empirical Study on Teleworking Among Slovakia's Office-Based Academics -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Meaning of Telecommuting or Teleworking -- 3.3.1 Teleworking in Slovakia -- 3.4 Office-Based Teleworking Results -- 3.5 Discussion -- 3.6 Conclusions -- References -- 4 Data and Systems Heterogeneity: Analysis on Data, Processing, Workload, and Infrastructure -- 4.1 Introduction -- 4.2 Data Types, Formats, and Models -- 4.3 Processing Models and Platforms -- 4.4 Workload Types -- 4.5 Infrastructure Types -- 4.6 Conclusion -- References -- 5 exhiSTORY: Smart Self-organizing Exhibits -- 5.1 Introduction -- 5.2 The Stories Told by Exhibits -- 5.3 The Smart Exhibit -- 5.3.1 Centralized System Control -- 5.3.2 Automated Exhibit Geolocation -- 5.3.3 Security Aspects -- 5.3.4 Selecting an Implementation Option for Smart Exhibits -- 5.4 System Architecture -- 5.4.1 The Smart Space -- 5.4.2 The Knowledge Base -- 5.4.3 The Intelligent Modules -- 5.5 The exhiSTORY System in Operation -- 5.6 Discussion and Conclusions -- References -- 6 IoT Cloud Security Design Patterns -- 6.1 Introduction -- 6.2 Design of IoT Architecture Layers -- 6.2.1 Security Aspects -- 6.3 IoT Network Design Patterns -- 6.3.1 Security of IoT Networks -- 6.3.2 Design Patterns for a Secure IoT Network -- 6.4 IoT Cloud Platform Design Patterns -- 6.4.1 Security Division Pattern -- 6.4.2 Digital Twin Pattern -- 6.4.3 Secure Design Through Microservices -- 6.4.4 Push Notification Pattern -- 6.4.5 Cloud and Smartphone Management Pattern -- 6.4.6 Cloud-Assisted Network Access Pattern -- 6.5 Discussion and Conclusion -- References -- 7 Cloud-Based mHealth Streaming IoT Processing -- 7.1 Introduction -- 7.2 Overview of Underlying Technology for mHealth Solutions -- 7.3 Overview of IoT mHealth Solutions -- 7.4 Cloud-Based Architectures. 7.5 Issues for Streaming mHealth IoT Solutions -- 7.6 Architectures for Streaming mHealth IoT Solutions -- 7.7 Discusion -- 7.7.1 Comparison of Architectural Concepts -- 7.7.2 Benefits -- 7.7.3 Use Case: A Monitoring Center Based on Streaming IoT mHealth Solutions -- 7.8 Conclusion -- References -- 8 A System for Monitoring Water Quality Parameters in Rivers. Challenges and Solutions -- 8.1 Introduction -- 8.2 Water Quality Monitoring Systems Challenges -- 8.2.1 Water Quality Parameters Acquisition Using WSNs -- 8.2.2 Pollution Detection -- 8.2.3 Standards for Hydrographic and Monitoring Data -- 8.3 A Service-Based System Architecture for Water Quality Monitoring -- 8.3.1 Data Sources -- 8.3.2 Data Storage, Processing and Data Provision Services -- 8.3.3 Information Services -- 8.4 A Pollution Detection System for Somes River -- 8.4.1 Data Acquisitions and Storage -- 8.4.2 Discharge Computation -- 8.4.3 The Rule-Based Automatic Assessment of Water Quality and Pollution Alert Service -- 8.4.4 Simulation of Pollutant Propagation -- 8.4.5 The Water Quality Information Web Application -- 8.5 Conclusions -- References -- 9 A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments -- 9.1 Introduction -- 9.2 Cloud Storage Encryption Prerequisites -- 9.3 Scalable Cloud Storage Encryption Schemes -- 9.4 Technology Survey Regarding Service Providers -- 9.5 Technology Survey Regarding Classic and Emerging Cryptographic Primitives -- 9.5.1 Confidentiality Primitives -- 9.5.2 Integrity Primitives -- 9.6 Technology Survey Regarding Third-Party Applications -- 9.6.1 Viivo -- 9.6.2 AES Crypt -- 9.7 Proposed Solution -- 9.7.1 Architecture -- 9.7.2 General Description -- 9.7.3 The Java Card Applet -- 9.7.4 Storage Layout and Data Structures -- References. 10 Energy Efficiency of Arduino Sensors Platform Based on Mobile-Cloud: A Bicycle Lights Use-Case -- 10.1 Introduction -- 10.2 Mobile Cloud Computing -- 10.3 The System for Energy Efficiency of Arduino Sensors -- 10.4 Smart Bicycle Lighting Architecture -- 10.5 Conclusions -- References -- 11 Cloud-Enabled Modeling of Sensor Networks in Educational Settings -- 11.1 Introduction -- 11.2 Related Work -- 11.2.1 Sensor Cloud -- 11.2.2 Education Cloud -- 11.3 Sensor Network Modeling -- 11.3.1 Language and Tools -- 11.3.2 Extensions and Model Interpreters -- 11.4 System Architecture -- 11.5 Educational Service in Cloud -- 11.5.1 Service Request and Handling -- 11.5.2 The Provisioning Process -- 11.6 Experimental Results -- 11.7 Conclusion -- References -- 12 Methods and Techniques for Automatic Identification System Data Reduction -- 12.1 Introduction -- 12.2 Related Work -- 12.3 AIS Technology -- 12.4 Algorithm Analysis -- 12.4.1 Analyzing the Data Set -- 12.5 Experimental Evaluation -- 12.5.1 Analyzed Data -- 12.5.2 Data Reduction Applied on AIS Data Set -- 12.5.3 Data Visualization -- 12.6 Conclusion and Future Work -- References -- 13 Machine-to-Machine Model for Water Resource Sharing in Smart Cities -- 13.1 Introduction -- 13.2 Current Stage of Development in the Field -- 13.2.1 EOMORES Project-Copernicus Platform -- 13.2.2 AquaWatch Project -- 13.2.3 SmartWater4Europe Project -- 13.2.4 OPC UA with MEGA Model Architecture -- 13.2.5 WATER-M Project -- 13.3 Smart City Water Management Available Technologies -- 13.3.1 GIS (Geographic Information System) -- 13.3.2 IBM Water Management Platform -- 13.3.3 TEMBOO Platform-IoT Applications -- 13.3.4 RoboMQ -- 13.4 Proposed Model and Possible Directions -- 13.5 Possibilities of Implementation -- 13.5.1 Message-Oriented Middleware-RabbitMQ -- 13.6 Conclusions -- References -- Index. |
| Record Nr. | UNISA-996464402403316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
CSE 2018 : 21st IEEE International Conference on Computational Science and Engineering : proceedings : 29-31 October 2018, Bucharest, Romania / / editors, Florin Pop [and three others] ; sponsored by IEEE Computer Society
| CSE 2018 : 21st IEEE International Conference on Computational Science and Engineering : proceedings : 29-31 October 2018, Bucharest, Romania / / editors, Florin Pop [and three others] ; sponsored by IEEE Computer Society |
| Pubbl/distr/stampa | Los Alamitos, California : , : IEEE Computer Society, , 2018 |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina | 004 |
| Soggetto topico |
Computer science
Computer engineering |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-5386-7649-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910305155303321 |
| Los Alamitos, California : , : IEEE Computer Society, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
CSE 2018 : 21st IEEE International Conference on Computational Science and Engineering : proceedings : 29-31 October 2018, Bucharest, Romania / / editors, Florin Pop [and three others] ; sponsored by IEEE Computer Society
| CSE 2018 : 21st IEEE International Conference on Computational Science and Engineering : proceedings : 29-31 October 2018, Bucharest, Romania / / editors, Florin Pop [and three others] ; sponsored by IEEE Computer Society |
| Pubbl/distr/stampa | Los Alamitos, California : , : IEEE Computer Society, , 2018 |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina | 004 |
| Soggetto topico |
Computer science
Computer engineering |
| ISBN | 1-5386-7649-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996575618603316 |
| Los Alamitos, California : , : IEEE Computer Society, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Cyberspace Safety and Security [[electronic resource] ] : 10th International Symposium, CSS 2018, Amalfi, Italy, October 29–31, 2018, Proceedings / / edited by Arcangelo Castiglione, Florin Pop, Massimo Ficco, Francesco Palmieri
| Cyberspace Safety and Security [[electronic resource] ] : 10th International Symposium, CSS 2018, Amalfi, Italy, October 29–31, 2018, Proceedings / / edited by Arcangelo Castiglione, Florin Pop, Massimo Ficco, Francesco Palmieri |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 327 p. 121 illus.) |
| Disciplina | 613.71 |
| Collana | Security and Cryptology |
| Soggetto topico |
Computer security
Computers and civilization Application software Artificial intelligence Data encryption (Computer science) Computers Law and legislation Systems and Data Security Computers and Society Information Systems Applications (incl. Internet) Artificial Intelligence Cryptology Legal Aspects of Computing |
| ISBN | 3-030-01689-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cybersecurity -- Cryptography, data security, and biometric techniques -- Social security, ontologies, and smart applications. |
| Record Nr. | UNISA-996466461003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Cyberspace Safety and Security : 10th International Symposium, CSS 2018, Amalfi, Italy, October 29–31, 2018, Proceedings / / edited by Arcangelo Castiglione, Florin Pop, Massimo Ficco, Francesco Palmieri
| Cyberspace Safety and Security : 10th International Symposium, CSS 2018, Amalfi, Italy, October 29–31, 2018, Proceedings / / edited by Arcangelo Castiglione, Florin Pop, Massimo Ficco, Francesco Palmieri |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 327 p. 121 illus.) |
| Disciplina |
613.71
005.8 |
| Collana | Security and Cryptology |
| Soggetto topico |
Computer security
Computers and civilization Application software Artificial intelligence Data encryption (Computer science) Computers Law and legislation Systems and Data Security Computers and Society Information Systems Applications (incl. Internet) Artificial Intelligence Cryptology Legal Aspects of Computing |
| ISBN | 3-030-01689-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cybersecurity -- Cryptography, data security, and biometric techniques -- Social security, ontologies, and smart applications. |
| Record Nr. | UNINA-9910349398003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
