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 The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge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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Bibliographic Details
Corporate Author: SpringerLink (Online Service)
Other Authors: Mukherjee, Anwesha (Editor), De, Debashis (Editor), Buyya, Rajkumar, 1970- (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, 2024.
Series:Studies in big data ; v. 151.
Physical Description:
1 online resource (xii, 314 pages) : illustrations (some color).
Subjects:
Cloud computing -- Management.
Electronic data processing -- Distributed processing -- Management.
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.

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