PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
June 20, 2026Discover ComputingOpen Access

A hybrid metaheuristic for time and cost-efficient workflow scheduling in cloud–fog systems

View Full Paper
Ask AI
Bookmark
Share

Authors

SBSumit BansalBSBhim Sain SinglaHAHimanshu Aggarwal

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates improved workflow scheduling in cloud-fog systems, suggesting better resource allocation and cost efficiency.

Key Points

  • This research aims to develop a framework for efficient workflow scheduling in cloud-fog computing environments.
  • Proposes a quantum-inspired multi-objective scheduling framework using a seahorse optimization strategy.
  • Models workflows as Directed Acyclic Graph (DAG) to minimize makespan and execution cost.
  • Implements the model in Workflowsim and evaluates it using five scientific workflows across varying complexities.
  • Achieved an average reduction of 9.28% in makespan and 11.49% in execution cost versus existing algorithms.
  • Demonstrated stable convergence behavior for large-scale workflow instances.
  • Introduced a machine learning-based module for proactive scheduling decisions under significant workloads.

Cite This Study

Bansal et al. (2026) studied this question.

synapsesocial.com/papers/6a3632fcdb0793dc1a5396bdhttps://doi.org/10.1007/s10791-026-10219-5
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. 1Optimizing Workflow Scheduling in Cloud‐Fog Computing: An Improved Approach2026 · 1 citations
  2. 2Efficient Workflow Scheduling in Fog-Cloud Collaboration Using a Hybrid IPSO-GWO Algorithm2025
  3. 3Efficient workflow scheduling in fog-cloud collaboration using a hybrid IPSO-GWO algorithm2026 · 2 citations
  4. 4An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing2025 · 10 citations
  5. 5Enhancing Workflow Efficiency: A Modified Firefly Algorithm for Hybrid Cloud-Edge Environments2024