Resource Management in Distributed Systems / edited by Anwesha Mukherjee, Debashis De, Rajkumar Buyya.

Format:

Book

Author/Creator:

Mukherjee, Anwesha.

Contributor:

De, Debashis.

Buyya, Rajkumar.

Series:

Studies in Big Data, 2197-6511 ; 151

Language:

English

Subjects (All):

Computational intelligence.

Cloud computing.

Internet of things.

Computational Intelligence.

Cloud Computing.

Internet of Things.

Local Subjects:

Computational Intelligence.

Cloud Computing.

Internet of Things.

Physical Description:

1 online resource (319 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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 The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge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 topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Mukherjee, Anwesha Resource Management in Distributed Systems

ISBN:

9789819726448

OCLC:

1439708635