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Resource management in distributed systems
This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The t...
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Corporate Author: | |
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Other Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Singapore :
Springer,
2024.
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Series: | Studies in big data ;
v. 151. |
Physical Description: |
1 online resource (xii, 314 pages) : illustrations (some color). |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Contents:
- Resource Management in Distributed Computing
- Cloud Computing Resource Management
- Resource Allocation and Placement in Multi-access Edge Computing
- Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions
- Trusted task offloading and resource allocation strategy in MEC environment
- Resource Management in Edge Clouds: Latency-aware Approaches for Big Data Analysis
- FSRmSTS : An Optimized Task Scheduling with a Hybrid Approach: Integrating FCFS, SJF, and RR with Median Standard Time Slice
- Container Orchestration in Heterogeneous Edge Computing Environments
- Resource targeted cybersecurity attacks in cloud computing environments
- Load balancing using Swarm intelligence in cloud Environment
- Interoperability and Portability in Big Data Analysis based Cloud-Fog-Edge-Dew Computing
- Cyber attack victim separation: new dimensions to minimize attack effects by resource management
- eBPF and XDP Technologies as Enablers for Ultra-Fast and Programmable Next-Gen Network Infrastructures
- Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions.