PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
August 17, 2025

Efficient Workflow Scheduling in Fog-Cloud Collaboration Using a Hybrid IPSO-GWO Algorithm

View Full Paper
Ask AI
Bookmark
Share

Authors

SASamar AwadMGMarwa GamalKSKhaled Abd El Salam

Discussion

Loading...

Member takes

Overview

Simulation reduces makespan by 26% and energy consumption by 37% in fog-cloud systems, suggesting improved efficiency through hybrid optimization.

Key Points

  • The proposed IPSO-GWO algorithm reduces makespan by up to 26.14% in fog-cloud environments, improving workflow scheduling.
  • Extensive simulations showed improvements in energy consumption of 37.73% and total costs by 12.52% compared to baselines.
  • Observational analysis using the FogWorkflowSim framework captures complex workflows across various scenarios.
  • These findings highlight potential for smarter, adaptive task scheduling systems in future fog-cloud architectures.

Cite This Study

Awad et al. (2025) studied this question.

synapsesocial.com/papers/68a36dec0a429f7973331c4bhttps://doi.org/10.21203/rs.3.rs-7053988/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Efficient workflow scheduling in fog-cloud collaboration using a hybrid IPSO-GWO algorithm2026 · 2 citations
  2. 2Optimizing Workflow Scheduling in Cloud‐Fog Computing: An Improved Approach2026 · 1 citations
  3. 3Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach2025
  4. 4A hybrid metaheuristic for time and cost-efficient workflow scheduling in cloud–fog systems2026 · 1 citations
  5. 5Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application2024 · 44 citations