| Description |
1 online resource (357 p.) |
| Series |
Computational Intelligence Techniques Series |
|
Computational Intelligence Techniques Series
|
| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- About the Editors -- Contributors -- Chapter 1 Delay-Aware Partial Computational Offloading and Resource Allocation in Fog-Enabled Cyber-Physical Systems -- 1.1 Introduction and Background -- 1.2 Fog Computing in IoT Networks -- 1.2.1 Fog Computing Network Scenario -- 1.2.2 Fog Network Characteristics -- 1.3 Literature Overview of Offloading and Task Scheduling -- 1.4 Computation Model -- 1.4.1 Latency Model in Smart Device -- 1.4.2 Latency Model in Fog Networks -- 1.4.2.1 Task Up-Link Delay |
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1.4.2.2 Queuing Delay at Fog Controller -- 1.4.2.3 Task Computation Latency -- 1.4.2.4 Total Task Computation Latency -- 1.5 Knapsack Optimization-Based Resource Allocation -- 1.6 Results and Discussion -- 1.6.1 Numerical Parameters -- 1.6.2 Total Latency for Varying Number of Fog Nodes -- 1.6.3 Effect of Varying Task Sizes on End-to-End Latency -- 1.6.4 Average Latency Performance -- 1.7 Conclusion -- References -- Chapter 2 Enhancing the Security of Cryptographic Algorithms in Cloud-Based Cyber-Physical Systems (CCPSs) -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Algorithms |
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2.3.1 Shannon Entropy -- 2.3.2 Whale Optimization Algorithm -- 2.3.2.1 Encircling Prey -- 2.3.2.2 Exploitation Phase -- 2.3.2.3 Search for Prey (Exploration Phase) -- 2.3.3 Grey Wolf Optimization -- 2.3.4 Bat Algorithm -- 2.4 Problem Formulation -- 2.5 Proposed Work -- 2.5.1 Proposed Framework -- 2.5.2 Key Generation Using Whale Optimization Algorithm -- 2.6 Simulation and Results -- 2.6.1 Result -- 2.6.2 NIST Statistical Test -- 2.6.3 Observations -- 2.7 Conclusion -- References -- Chapter 3 Containerized Deployment of Microservices in Cloud Computing -- 3.1 Introduction -- 3.2 Background |
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3.2.1 Microservices -- 3.2.2 Containers -- 3.2.3 Docker -- 3.2.3.1 Definition -- 3.2.3.2 Docker Container Architecture -- 3.2.3.3 Docker Containers and Images -- 3.2.3.4 Application and Research Areas -- 3.2.4 Optimization Techniques -- 3.2.4.1 Dynamic Bin Packing -- 3.2.4.2 Particle Swarm Optimization -- 3.3 Related Work -- 3.3.1 Application Deployment -- 3.3.2 Container-Based Scheduling -- 3.3.3 Advancement in Optimization Methods -- 3.4 The Proposal -- 3.4.1 System Model -- 3.4.2 Problem Statement and Formulation -- 3.4.2.1 Application Deployment Cost Formulation |
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3.4.2.2 Resource Wastage Formulation -- 3.4.2.3 Power Consumption Modeling -- 3.4.2.4 Binary PSO Formulation -- 3.4.3 The Proposed Methods -- 3.4.3.1 Microservices-to-Container Mapping -- 3.4.3.2 Container-to-PM Mapping -- 3.5 Result and Analysis -- 3.5.1 Simulation Settings -- 3.5.2 Analysis and Results -- 3.5.2.1 Comparison of Resource Wastage -- 3.6 Conclusion -- References -- Chapter 4 RSS-Based Smart Device Localization Using Few-Shot Learning in IoT Networks -- 4.1 Introduction -- 4.1.1 Motivation and Literature Review -- 4.2 Localization Methodology |
| Notes |
Description based upon print version of record |
|
4.2.1 Fingerprinting-Based Localization |
| Subject |
Cooperating objects (Computer systems)
|
| Form |
Electronic book
|
| Author |
Kumar Sagar, Anil
|
|
Singh, Jagendra
|
|
Khalaf, Osamah Ibrahim
|
|
Prasad, Mukesh
|
| ISBN |
9781000964257 |
|
1000964256 |
|
