Cover Image

CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Andreoli, Remo, Zhao, Jie, Cucinotta, Tommaso, Buyya, Rajkumar
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing I.6.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments
by: Remo Andreoli, et al.
Published: (2025)

iAnomaly: A Toolkit for Generating Performance Anomaly Datasets in Edge-Cloud Integrated Computing Environments
by: Fernando, Duneesha, et al.
Published: (2024)

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
by: Jayanetti, Amanda, et al.
Published: (2024)

A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
by: Jayanetti, Amanda, et al.
Published: (2024)

ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
by: Zhou, Guangyao, et al.
Published: (2021)

Quantum Cloud Computing: A Review, Open Problems, and Future Directions
by: Nguyen, Hoa T., et al.
Published: (2024)

HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing
by: Fang, Zhengxin, et al.
Published: (2025)

TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
by: Rangwala, Murtaza, et al.
Published: (2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction
by: Li, Haozhe, et al.
Published: (2024)

DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
by: Nguyen, Hoa T., et al.
Published: (2024)

Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
by: Chen, Ming, et al.
Published: (2026)

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage
by: Shen, Siyuan, et al.
Published: (2025)

Simulating Dynamic Cloud Marketspaces: Modeling Spot Instance Behavior and Scheduling with CloudSim Plus
by: Goldgruber, Christoph, et al.
Published: (2025)

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions
by: Pallewatta, Samodha, et al.
Published: (2022)

A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
by: Mukherjee, Anwesha, et al.
Published: (2024)

A Decentralized Root Cause Localization Approach for Edge Computing Environments
by: Fernando, Duneesha, et al.
Published: (2025)

EnFed: An Energy-aware Federated Learning in Resource Constrained Environments for Human Activity Recognition
by: Mukherjee, Anwesha, et al.
Published: (2024)

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
by: Bai, Xu, et al.
Published: (2025)

A Cascaded Graph Neural Network for Joint Root Cause Localization and Analysis in Edge Computing Environments
by: Fernando, Duneesha, et al.
Published: (2026)

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
by: Hewage, Tharindu B., et al.
Published: (2025)

A Framework for Carbon-aware Real-Time Workload Management in Clouds using Renewables-driven Cores
by: Hewage, Tharindu B., et al.
Published: (2024)

QAISim: A Toolkit for Modeling and Simulation of AI in Quantum Cloud Computing Environments
by: Singh, Irwindeep, et al.
Published: (2025)

iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics
by: Chen, Ming, et al.
Published: (2025)

A System Aware Resource Allocation for Distributed Workflows in Quantum Computing Environments
by: Sawaika, Abhishek, et al.
Published: (2026)

Sustainable Edge Computing: Challenges and Future Directions
by: Arroba, Patricia, et al.
Published: (2023)

Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
by: Fernando, Duneesha, et al.
Published: (2024)

Proactive and Reactive Autoscaling Techniques for Edge Computing
by: Gupta, Suhrid, et al.
Published: (2025)

Generative Federated Learning for Smart Prediction and Recommendation Applications
by: Mukherjee, Anwesha, et al.
Published: (2025)

Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
by: Rangwala, Murtaza, et al.
Published: (2025)

A Hybrid Reactive-Proactive Auto-scaling Algorithm for SLA-Constrained Edge Computing
by: Gupta, Suhrid, et al.
Published: (2025)

Cloud and AI Infrastructure Cost Optimization: A Comprehensive Review of Strategies and Case Studies
by: Deochake, Saurabh
Published: (2023)

SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing
by: Pei, Ruiguang, et al.
Published: (2025)

Performance and Security Aware Distributed Service Placement in Fog Computing
by: Goudarzi, Mohammad, et al.
Published: (2026)

MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization
by: Wang, Zongwu, et al.
Published: (2025)

Performance Evaluation of Automated Multi-Service Deployment in Edge-Cloud Environments with the CODECO Toolkit
by: Koukis, Georgios, et al.
Published: (2026)

Quantum Federated Learning: Architectural Elements and Future Directions
by: Sai, Siva, et al.
Published: (2025)

Incentive-Based Federated Learning: Architectural Elements and Future Directions
by: Kaluannakkage, Chanuka A. S. Hewa, et al.
Published: (2025)

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response
by: Huang, Yulun, et al.
Published: (2026)