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UID:

Format: 1 Online-Ressource , Illustrationen, Diagramme

ISBN: 9783030596354

Series Statement: Lecture notes in computer science 12403

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-59634-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-59636-1

Language: English

Subjects: Computer Science

Keywords: Cloud Computing ; Datensicherung ; Konferenzschrift

DOI: 10.1007/978-3-030-59635-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (211 Seiten)

ISBN: 9781000432916

Note: Description based on publisher supplied metadata and other sources , Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author Bios -- CHAPTER 1: Introduction -- 1.1. APPLICATIONS OF NODE DEPLOYMENT PROBLEM -- 1.1.1. Unmanned Systems -- 1.1.2. Wireless Sensor Networks -- 1.1.3. Healthcare -- 1.1.4. Public Sectors -- 1.1.5. Railway Network Design -- 1.1.6. Distributed Simulation Systems -- 1.2. FUNDAMENTAL ISSUES OF NODE DEPLOYMENT PROBLEM -- 1.2.1. Task -- 1.2.2. Node -- 1.2.3. Environment -- 1.3. RESEARCH PROGRESS OF NODE DEPLOYMENT MODELING -- 1.3.1. Deployment Space -- 1.3.1.1. Candidate Locations -- 1.3.1.2. Deployment Formation -- 1.3.2. Constraints -- 1.3.3. Objective Functions -- 1.3.3.1. Node Deployment in Wireless Sensor Networks -- 1.3.3.2. Node Deployment in Air Defense -- 1.3.3.3. Other Types of Optimization Objective -- 1.4. RESEARCH PROGRESS OF NODE DEPLOYMENT METHODS -- 1.4.1. Encoding -- 1.4.2. Constraints Handling -- 1.4.3. Multi-Objective Handling -- 1.4.4. Algorithms -- 1.4.4.1. Exact Algorithm -- 1.4.4.2. Metaheuristic Algorithm -- 1.5. MAIN ISSUES AND CHALLENGES -- 1.6. BOOK OUTLINE -- CHAPTER 2: Stochastic Node Deployment for Area Coverage Problem -- 2.1. INTRODUCTION -- 2.2. PROBLEM FORMULATION -- 2.2.1. Detection Models -- 2.2.1.1. Binary Detection Model -- 2.2.1.2. Probabilistic Detection Model -- 2.2.2. Network Model -- 2.2.3. Problem Statement -- 2.2.4. NP-Hardness Proof -- 2.3. SOLUTION ALGORITHMS -- 2.3.1. D-VFCPSO -- 2.3.2. Other PSO-Based Algorithm for Area Coverage Problem -- 2.3.3. Complexity Analysis -- 2.4. EXPERIMENTS AND DISCUSSION -- 2.4.1. Test Instances -- 2.4.2. Parameter Setting -- 2.4.3. Analysis of Results -- 2.5. CONCLUSION -- CHAPTER 3: Stochastic Dynamic Node Deployment for Target Coverage Problem -- 3.1. INTRODUCTION -- 3.2. PROBLEM FORMULATION -- 3.2.1. Mathematical Model -- 3.2.2. Scenario-Based Model Reformulation , 3.3. SOLUTION ALGORITHMS -- 3.3.1. NSGA-II -- 3.3.2. MOPSO -- 3.3.2.1. Personal Best Selection -- 3.3.2.2. Non-Dominated Solutions Maintaining and Global Best Selection -- 3.3.2.3. Diversity Maintaining -- 3.3.3. Complexity Analysis -- 3.4. EXPERIMENTS AND DISCUSSION -- 3.4.1. Test Instances -- 3.4.2. Performance Metrics -- 3.4.3. Parameter Turning -- 3.4.4. Analysis of Results -- 3.5. CONCLUSION -- CHAPTER 4: Robust Node Deployment for Cooperative Coverage Problem -- 4.1. INTRODUCTION -- 4.2. PROBLEM FORMULATION -- 4.2.1. The Deterministic and Uncertain Two-Level Cooperative Set Covering Problem -- 4.2.1.1. Two-Level Cooperative Set Covering Problem -- 4.2.1.2. Generalized Uncertain Two-Level Cooperative Set Covering Problem -- 4.2.2. Modeling the Robust Uncertain Two-Level Cooperative Set Covering Problem -- 4.2.2.1. Compact Formulation of the RUTLCSCP -- 4.3. SOLUTION ALGORITHMS -- 4.3.1. Dealing with Subproblem -- 4.3.2. Rule-Based Heuristic for RUTLCSCP -- 4.3.2.1. Processing Procedure -- 4.3.2.2. Complexity Analysis of MRBCH-k -- 4.3.3. Proposed SaDE for RUTLCSCP -- 4.3.3.1. Encoding -- 4.3.3.2. Constraints Handling -- 4.3.3.3. Complexity Analysis of SaDE -- 4.4. EXPERIMENTS AND DISCUSSION -- 4.4.1. Test Instances -- 4.4.2. Analysis of Results -- 4.4.2.1. Solving RUTLCSCP-LA-RC through CPLEX -- 4.4.2.2. Comparisons of MRBCH-k with Different k -- 4.4.2.3. Comparisons of SaDE and Its Variants -- 4.4.2.4. Comparisons on RUTLCSCP -- 4.5. CONCLUSION -- CHAPTER 5: Fuzzy Node Deployment for Cooperative Coverage Problem -- 5.1. INTRODUCTION -- 5.2. PROBLEM FORMULATION -- 5.2.1. Fuzzy Conditional Value-at-Risk -- 5.2.2. Mathematical Model -- 5.2.3. Some Properties on CVaR-FTLCNDP -- 5.2.4. Linear Approximation of CVaR-FTLCNDP -- 5.3. SOLUTION ALGORITHMS -- 5.3.1. Fuzzy Simulation , 5.3.2. Improved Decomposition-Based Multi-Objective Evolutionary Algorithms -- 5.3.2.1. Encoding -- 5.3.2.2. Updating of Individuals -- 5.3.2.3. Complexity Analysis -- 5.4. EXPERIMENTS AND DISCUSSION -- 5.4.1. Performance Metrics -- 5.4.2. Analysis of Results -- 5.4.2.1. Case Study 1 -- 5.4.2.2. Case Study 2 -- 5.5. CONCLUSION -- CHAPTER 6: Simulation-Based Evaluation Analysis of Node Deployment under Risk Preference -- 6.1. INTRODUCTION -- 6.2. SIMULATION-BASED EVALUATION ANALYSIS OF WORST-CASE CVAR NODE DEPLOYMENT -- 6.2.1. Uncertain Initial Position of Penetration Paths -- 6.2.2. Penetration Paths under Uncertainty -- 6.2.3. Scenario-Based Simulation -- 6.2.4. Evaluation Model with Decision Makers' Risk Preference -- 6.3. EXPERIMENTS AND DISCUSSION -- 6.3.1. Case Study 1: Deployment of Sensor Nodes -- 6.3.2. Case Study 2: Deployment of Weapon Nodes -- 6.3.3. Case Study 3: Cooperative Deployment of Sensor and Weapon Nodes -- 6.4. CONCLUSION -- CHAPTER 7: Overview and Future Directions -- Bibliography -- Index

Additional Edition: Erscheint auch als Druck-Ausgabe Ding, Shuxin Metaheuristics for Resource Deployment under Uncertainty in Complex Systems Milton : Taylor & Francis Group,c2021 ISBN 9781032065205

Language: English

UID:

Format: 1 Online-Ressource(XIV, 295 p. 137 illus., 91 illus. in color.)

Edition: 1st ed. 2020.

ISBN: 9783030596354

Series Statement: Information Systems and Applications, incl. Internet/Web, and HCI 12403

Content: A Replication Study to Explore Network-Based Co-Residency of Virtual Machines in the Cloud -- Leveraging Federated Clouds For Improving Blockchain Performance -- A Resource Trend Analysis from a Business Perspective based on a Component Decomposition Approach -- A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds -- Analyzing CNN Based Behavioural Malware Detection Techniques in Cloud IaaS -- NLC: A Replacement Caching Algorithm based on Non-Critical Path Least Counts for In-Memory Computing -- Job Completion Time in Dynamic Vehicular Cloud Under Multiple Access Points -- PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs -- A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder -- Post-cloud Computing Models and Their Comparisons -- Wise Toolkit: Enabling Microservice-Based System Performance Experiments -- Abstracting Containerisation and Orchestration for Cloud-Native Applications -- Toward a Decentralized Service Marketplace: The Interplay Between Blockchain and Algebraic Service Composition -- A new personalized POI recommendation based on time-aware and social influence -- Manage Storage Resources Efficiently Using Predictive Analytics -- Scalable Sketch-based Sport Video Retrieval in the Cloud -- Capestor: a Service Mesh-based Capacity Estimation Framework for Cloud Applications -- Cardinality based rate limiting system for time-series data -- Bioinf-PHP: Bioinformatics Pipeline for Protein Homology and Phylogeny -- Online Tutoring through a Cloud-based Virtual Tutoring Center -- Towards multi-criteria volunteer cloud service selection -- ZTIMM: A Zero-Trust-Based Identity Management Model for Volunteer Cloud Computing.

Content: This book constitutes the proceedings of the 13th International Conference on Cloud Computing, CLOUD 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 6 short papers presented were carefully reviewed and selected from 49 submissions. They deal with the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing.

Additional Edition: ISBN 9783030596347

Additional Edition: ISBN 9783030596361

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030596347

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030596361

Language: English

DOI: 10.1007/978-3-030-59635-4

URL: lizenzpflichtig