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An agent‐based workflow scheduling mechanism with deadline constraint on hybrid cloud environment
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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/spe.2168openalex-snapshot
Inter‐Cloud architectures and application brokering: taxonomy and survey
inferredcites →https://doi.org/10.1007/978-3-642-54525-2_12openalex-snapshot
A Genetic Algorithm for Scheduling Workflow Applications in Unreliable Cloud Environment
inferredcites →https://doi.org/10.1007/s11227-013-0890-2openalex-snapshot
Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments
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/10.1016/0743-7315(90)90014-gopenalex-snapshot
Analysis and evaluation of heuristic methods for static task scheduling
inferredcites →https://doi.org/10.1016/j.dss.2010.12.006openalex-snapshot
Cloud computing — The business perspective
inferredcites →https://doi.org/10.1016/j.future.2008.12.001openalex-snapshot
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
inferredcites →https://doi.org/10.1016/j.future.2015.01.007openalex-snapshot
Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities
inferredcites →https://doi.org/10.1016/j.jcss.2011.12.017openalex-snapshot
Cloud federation in a layered service model
inferredcites →https://doi.org/10.1016/j.jpdc.2014.08.003openalex-snapshot
Big Data computing and clouds: Trends and future directions
inferredcites →https://doi.org/10.1080/02533839.2016.1187085openalex-snapshot
Using cloud-based mobile learning for practice-oriented education
inferredcites →https://doi.org/10.1109/aina.2010.31openalex-snapshot
A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments
inferredcites →https://doi.org/10.1109/chinagrid.2010.37openalex-snapshot
An Approach to Optimized Resource Scheduling Algorithm for Open-Source Cloud Systems
inferredcites →https://doi.org/10.1109/cis.2010.46openalex-snapshot
A Revised Discrete Particle Swarm Optimization for Cloud Workflow Scheduling
inferredcites →https://doi.org/10.1109/edocw.2014.61openalex-snapshot
Workflow Scheduling in Cloud Computing: A Survey
inferredcites →https://doi.org/10.1109/hpcc.2011.127openalex-snapshot
Agent-Based Service Migration Framework in Hybrid Cloud
inferredcites →https://doi.org/10.1109/ic2e.2013.45openalex-snapshot
Adaptive Service Workflow Configuration and Agent-Based Virtual Resource Management in the Cloud
inferredcites →https://doi.org/10.1109/iccda.2010.5541135openalex-snapshot
Estimating job execution time and handling missing job requirements using rough set in grid scheduling
inferredcites →https://doi.org/10.1109/raecs.2014.6799514openalex-snapshot
Workflow scheduling algorithms in cloud environment - A survey
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/tpds.2004.1264795openalex-snapshot
Improving scheduling of tasks in a heterogeneous environment
inferredcites →https://doi.org/10.1109/tpds.2013.238openalex-snapshot
Meeting Deadlines of Scientific Workflows in Public Clouds with Tasks Replication
inferredcites →https://doi.org/10.1109/tsmcb.2004.836885openalex-snapshot
A hybrid model for improving response time in distributed data mining
inferredcites →https://doi.org/10.1109/uic-atc.2012.41openalex-snapshot
Execution Time Prediction Using Rough Set Theory in Hybrid Cloud
inferredcites →https://doi.org/10.1109/works.2008.4723958openalex-snapshot
Characterization of scientific workflows
inferredcites →https://doi.org/10.1155/2014/375871openalex-snapshot
Implementation and Evaluation of Large-Scale Video Surveillance System Based on P2P Architecture and Cloud Computing
inferredcites →https://doi.org/10.1504/ijguc.2014.060199openalex-snapshot
Deadline constraint heuristic-based genetic algorithm for workflow scheduling in cloud
inferredcites →https://doi.org/10.31979/etd.et9e-73fzopenalex-snapshot
A Genetic Algorithm Scheduling Approach for Virtual Machine Resources in a Cloud Computing Environment
inferredcites →https://doi.org/10.6028/nist.sp.800-145openalex-snapshot
The NIST definition of cloud computing
inferredcites →https://doi.org/10.82465/4970openalex-snapshot
Knowledge discovery in databases: An attribute-oriented rough set approach.
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.5185openalex-snapshot
A fuzzy logic‐based method for solving the scheduling problem in the cloud environments using a non‐dominated sorted algorithm
inferred← citeshttps://doi.org/10.1002/dac.3708openalex-snapshot
Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments
inferred← citeshttps://doi.org/10.1002/dac.3966openalex-snapshot
An eigenvalue‐based edge infrastructure for cloud‐based CDN
inferred← citeshttps://doi.org/10.1002/dac.4126openalex-snapshot
Multicriteria decision‐making techniques for avoiding similar task scheduling conflict in cloud computing
inferred← citeshttps://doi.org/10.1007/978-3-030-33702-5_22openalex-snapshot
Optimized Application Deployment in the Fog
inferred← citeshttps://doi.org/10.1007/978-3-030-77961-0_21openalex-snapshot
Scientific Workflow Management on Hybrid Clouds with Cloud Bursting and Transparent Data Access
inferred← citeshttps://doi.org/10.1007/s10586-020-03048-8openalex-snapshot
A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds
inferred← citeshttps://doi.org/10.1007/s11042-020-08974-8openalex-snapshot
Dynamic scheduling of bags-of-tasks with sensitive input data and end-to-end deadlines in a hybrid cloud
inferred← citeshttps://doi.org/10.1007/s11227-019-03038-7openalex-snapshot
Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s11277-020-07570-1openalex-snapshot
A Cost Efficient Service Broker Policy for Data Center Allocation in IaaS Cloud Model
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108791openalex-snapshot
Genetically-modified Multi-objective Particle Swarm Optimization approach for high-performance computing workflow scheduling
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111790openalex-snapshot
Deep reinforcement learning for energy-efficient workflow scheduling in edge computing
inferred← citeshttps://doi.org/10.1088/1742-6596/1994/1/012028openalex-snapshot
Ant Colony Algorithm for Container-based Microservice Scheduling in Hybrid Cloud
inferred← citeshttps://doi.org/10.1109/access.2020.3003799openalex-snapshot
A Profit Maximization Scheme in Cloud Computing With Deadline Constraints
inferred← citeshttps://doi.org/10.1109/iccea62105.2024.10604107openalex-snapshot
Hybrid Cloud Workflow Scheduling Algorithm Based on the Improved Wild Horse Optimization Algorithm
inferred← citeshttps://doi.org/10.1109/ojcoms.2022.3158417openalex-snapshot
Workflow Makespan Minimization for Partially Connected Edge Network: A Deep Reinforcement Learning-Based Approach
inferred← citeshttps://doi.org/10.1109/tcc.2024.3408006openalex-snapshot
Learning to Optimize Workflow Scheduling for an Edge–Cloud Computing Environment
inferred← citeshttps://doi.org/10.1155/2022/7283516openalex-snapshot
Resource Provisioning Techniques in Multi-Access Edge Computing Environments: Outlook, Expression, and Beyond
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.161408openalex-snapshot
Workflow scheduling and reliability improvement by hybrid intelligence optimization approach with task ranking
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