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Workflow scheduling in cloud environment using a novel metaheuristic optimization algorithm

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.4368openalex-snapshot
A PSO ‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/s00170-013-4753-zopenalex-snapshot
Hybrid meta-heuristic algorithm for job shop scheduling with due date time window and release time
inferredcites →https://doi.org/10.1007/s10586-011-0171-xopenalex-snapshot
An overview of energy efficiency techniques in cluster computing systems
inferredcites →https://doi.org/10.1007/s11227-019-03038-7openalex-snapshot
Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities
inferredcites →https://doi.org/10.1007/s11227-020-03317-8openalex-snapshot
Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet
inferredcites →https://doi.org/10.1007/s13174-011-0032-0openalex-snapshot
HCOC: a cost optimization algorithm for workflow scheduling in hybrid clouds
inferredcites →https://doi.org/10.1016/j.fcij.2018.03.004openalex-snapshot
Task scheduling for cloud computing using multi-objective hybrid bacteria foraging algorithm
inferredcites →https://doi.org/10.1016/j.imu.2017.02.005openalex-snapshot
Energy-aware hybrid fruitfly optimization for load balancing in cloud environments for EHR applications
inferredcites →https://doi.org/10.1016/j.jksuci.2018.10.001openalex-snapshot
A pair-based task scheduling algorithm for cloud computing environment
inferredcites →https://doi.org/10.1016/j.jksuci.2018.10.009openalex-snapshot
An enhanced deadline constraint based task scheduling mechanism for cloud environment
inferredcites →https://doi.org/10.1016/j.procs.2013.05.148openalex-snapshot
A Task Scheduling Algorithm based on QoS-Driven in Cloud Computing
inferredcites →https://doi.org/10.1016/j.sysarc.2019.08.004openalex-snapshot
Cost and makespan-aware workflow scheduling in hybrid clouds
inferredcites →https://doi.org/10.1016/s0167-739x(02)00085-7openalex-snapshot
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
inferredcites →https://doi.org/10.1109/tcc.2014.2314655openalex-snapshot
Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds
inferredcites →https://doi.org/10.1109/tcc.2015.2451649openalex-snapshot
A Cost-Effective Deadline-Constrained Dynamic Scheduling Algorithm for Scientific Workflows in a Cloud Environment
inferredcites →https://doi.org/10.1109/tpds.2011.303openalex-snapshot
Cost-Driven Scheduling of Grid Workflows Using Partial Critical Paths
inferredcites →https://doi.org/10.1145/1272998.1273026openalex-snapshot
Adaptive control of virtualized resources in utility computing environments
inferredcites →https://doi.org/10.1155/2012/589243openalex-snapshot
Energy‐Efficient Multi‐Job Scheduling Model for Cloud Computing and Its Genetic Algorithm
inferredcites →https://doi.org/10.1155/2012/712752openalex-snapshot
Test‐Sheet Composition Using Analytic Hierarchy Process and Hybrid Metaheuristic Algorithm TS/BBO
inferredcites →https://doi.org/10.1166/jctn.2018.7168openalex-snapshot
Meeting Deadlines Using Artificial Bee Colony (ABC) Based Resource Mechanism in Public Clouds with Task Replication in Large-Scale Biomedical Data
inferredcites →https://doi.org/10.1186/s13677-018-0105-8openalex-snapshot
Task scheduling and resource allocation in cloud computing using a heuristic approach
inferredcites →https://doi.org/10.1504/ijcc.2019.10025560openalex-snapshot
MSA: a task scheduling algorithm for cloud computing
inferredcites →https://doi.org/10.5121/ijgca.2012.3301openalex-snapshot
On Fault Tolerance of Resources in Computational Grids

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.7762openalex-snapshot
Redefining the learning mechanism in teaching‐learning‐based optimization and its applications for flowtime‐aware‐cost minimizing of the workflow in cloud
inferred← citeshttps://doi.org/10.1002/cpe.8068openalex-snapshot
Transforming data‐intensive workflows: A cutting‐edge multi‐layer security and quality aware security framework
inferred← citeshttps://doi.org/10.1007/978-3-032-07275-7_34openalex-snapshot
A Performance-Driven Firefly Algorithm for Scheduling Workflow in Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-981-96-5535-9_11openalex-snapshot
Evaluating Load-Balancing Methodologies for Cloud Computing: Pros, Cons, and Novel Developments
inferred← citeshttps://doi.org/10.1007/s00607-026-01652-xopenalex-snapshot
Dynamic resource mapping in cloud computing workflows using the modified artificial fish swarm algorithm with dynamic vision and step-size adaptation
inferred← citeshttps://doi.org/10.1007/s10115-025-02416-3openalex-snapshot
An intelligent secure and efficient workflow scheduling (SEWS) model for heterogeneous cloud computing environment
inferred← citeshttps://doi.org/10.1007/s10922-024-09863-3openalex-snapshot
Tri-objective Optimization for Large-Scale Workflow Scheduling and Execution in Clouds
inferred← citeshttps://doi.org/10.1016/j.future.2026.108527openalex-snapshot
Energy-efficient workflow task scheduling with deadline and budget constraints on DVFS-enabled cloud systems
inferred← citeshttps://doi.org/10.1109/access.2022.3187704openalex-snapshot
A Unified Mechanism for Cloud Scheduling of Scientific Workflows
inferred← citeshttps://doi.org/10.1109/icoei56765.2023.10125845openalex-snapshot
Security Aware Resource Management Framework (SARMF) for Edge-Cloud Computing
inferred← citeshttps://doi.org/10.1186/s13677-023-00453-3openalex-snapshot
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
inferred← citeshttps://doi.org/10.1186/s13677-026-00936-zopenalex-snapshot
A systematic review of security-aware task scheduling in cloud, fog, and edge computing
inferred← citeshttps://doi.org/10.17485/ijst/v15i20.1809openalex-snapshot
Delay Aware and Performance Efficient Workflow Scheduling of Web Servers in Hybrid Cloud Computing Environment
inferred← citeshttps://doi.org/10.3390/a18020099openalex-snapshot
A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model for Infrastructure as a Service (IaaS) Cloud Environment
inferred← citeshttps://doi.org/10.3390/jsan14030047openalex-snapshot
Evaluating QoS in Dynamic Virtual Machine Migration: A Multi-Class Queuing Model for Edge-Cloud Systems
inferred← citeshttps://doi.org/10.3390/math12030468openalex-snapshot
Queuing Model with Customer Class Movement across Server Groups for Analyzing Virtual Machine Migration in Cloud Computing
inferred← citeshttps://doi.org/10.3390/sym17020280openalex-snapshot
HICA: A Hybrid Scientific Workflow Scheduling Algorithm for Symmetric Homogeneous Resource Cloud Environments
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.140500082openalex-snapshot
Optimizing Workflow Scheduling for Web Servers in Hybrid Cloud Computing: Balancing Delay Sensitivity and Performance Efficiency
inferred← citeshttps://doi.org/10.54938/ijemdcsai.2026.05.1.603openalex-snapshot
A Two Stage Deadline Aware Workflow Scheduling Strategy for Load Balancing in Cloud Environment
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