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Multi‐objective task scheduling in cloud computing

https://doi.org/10.1002/cpe.7252
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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.

1 of the 52 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s12652-020-01678-9 (notice 2022-06-14).

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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.1417openalex-snapshot
Multiobjective differential evolution for scheduling workflow applications on global Grids
inferredcites →https://doi.org/10.1002/cpe.5536openalex-snapshot
Optimizing scheduling decisions of container management tool using many‐objective genetic algorithm
inferredcites →https://doi.org/10.1002/cpe.5652openalex-snapshot
Load balancing in cloud computing environments based on adaptive starvation threshold
inferredcites →https://doi.org/10.1002/wcm.486openalex-snapshot
Cognitive engine implementation for wireless multicarrier transceivers
inferredcites →https://doi.org/10.1007/978-3-030-51156-2_83openalex-snapshot
Multi-objective Task Scheduling in Cloud Computing Environment by Hybridized Bat Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-32894-7_27openalex-snapshot
Flower Pollination Algorithm for Global Optimization
inferredcites →https://doi.org/10.1007/978-3-642-48318-9_3openalex-snapshot
Methods for Multiple Attribute Decision Making
inferredcites →https://doi.org/10.1007/978-981-10-6430-2_9openalex-snapshot
A Flower Pollination Algorithm Based Task Scheduling in Cloud Computing
inferredcites →https://doi.org/10.1007/978-981-15-7106-0_16openalex-snapshot
Enhanced Flower Pollination Algorithm for Task Scheduling in Cloud Computing Environment
inferredcites →https://doi.org/10.1007/bf02948918openalex-snapshot
QoS guided Min-Min heuristic for grid task scheduling
inferredcites →https://doi.org/10.1007/s00521-021-06002-wopenalex-snapshot
Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing
inferredcites →https://doi.org/10.1007/s10009-012-0263-9openalex-snapshot
Tradeoff exploration between reliability, power consumption, and execution time for embedded systems
inferredcites →https://doi.org/10.1007/s10586-019-02911-7openalex-snapshot
Reliability and energy efficient workflow scheduling in cloud environment
inferredcites →https://doi.org/10.1007/s10586-020-03075-5openalex-snapshot
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
inferredcites →https://doi.org/10.1007/s10922-016-9385-9openalex-snapshot
A Survey of PSO-Based Scheduling Algorithms in Cloud Computing
inferredcites →https://doi.org/10.1007/s11227-017-1992-zopenalex-snapshot
PSO-DS: a scheduling engine for scientific workflow managers
inferredcites →https://doi.org/10.1007/s11277-019-06566-wopenalex-snapshot
A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization
inferredcites →https://doi.org/10.1007/s11277-021-08263-zopenalex-snapshot
Energy Efficient and Reliability Aware Workflow Task Scheduling in Cloud Environment
inferredcites →https://doi.org/10.1007/s12652-020-01678-9openalex-snapshot
RETRACTED ARTICLE: A new whale optimizer for workflow scheduling in cloud computing environment
inferredcites →https://doi.org/10.1007/s41870-018-0156-6openalex-snapshot
Dynamic heterogeneous shortest job first (DHSJF): a task scheduling approach for heterogeneous cloud computing systems
inferredcites →https://doi.org/10.1016/j.asoc.2019.106003openalex-snapshot
An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
inferredcites →https://doi.org/10.1016/j.asoc.2020.106411openalex-snapshot
Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach
inferredcites →https://doi.org/10.1016/j.future.2011.03.008openalex-snapshot
Optimizing the makespan and reliability for workflow applications with reputation and a look-ahead genetic algorithm
inferredcites →https://doi.org/10.1016/j.future.2018.10.046openalex-snapshot
Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT
inferredcites →https://doi.org/10.1016/j.jcp.2007.06.008openalex-snapshot
Lévy flights, non-local search and simulated annealing
inferredcites →https://doi.org/10.1016/j.jksuci.2021.01.003openalex-snapshot
A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment
inferredcites →https://doi.org/10.1016/j.jnca.2019.06.006openalex-snapshot
A comprehensive survey for scheduling techniques in cloud computing
inferredcites →https://doi.org/10.1016/j.jobe.2020.101647openalex-snapshot
Novel metaheuristic-based tuning of PID controllers for seismic structures and verification of robustness
inferredcites →https://doi.org/10.1016/j.jpdc.2011.11.003openalex-snapshot
Optimizing performance and reliability on heterogeneous parallel systems: Approximation algorithms and heuristics
inferredcites →https://doi.org/10.1016/j.swevo.2021.100841openalex-snapshot
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101837openalex-snapshot
Cost and makespan scheduling of workflows in clouds using list multiobjective optimization technique
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101916openalex-snapshot
TOPSIS inspired Budget and Deadline Aware Multi-Workflow Scheduling for Cloud computing
inferredcites →https://doi.org/10.1093/comjnl/bxp067openalex-snapshot
Multi-criteria Scheduling of Precedence Task Graphs on Heterogeneous Platforms
inferredcites →https://doi.org/10.1108/ijicc-08-2020-0104openalex-snapshot
Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults*
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/access.2019.2961106openalex-snapshot
A Hybrid Algorithm for Scheduling Scientific Workflows in Cloud Computing
inferredcites →https://doi.org/10.1109/access.2019.2962658openalex-snapshot
EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods
inferredcites →https://doi.org/10.1109/access.2021.3105727openalex-snapshot
An Energy-Efficient Hybrid Scheduling Algorithm for Task Scheduling in the Cloud Computing Environments
inferredcites →https://doi.org/10.1109/canet.2007.4401694openalex-snapshot
A Min-Min Max-Min selective algorihtm for grid task scheduling
inferredcites →https://doi.org/10.1109/ccgrid.2012.49openalex-snapshot
Enhanced Energy-Efficient Scheduling for Parallel Applications in Cloud
inferredcites →https://doi.org/10.1109/eict.2017.8275215openalex-snapshot
An adaptive flower pollination algorithm for software test suite minimization
inferredcites →https://doi.org/10.1109/empdp.2019.8671594openalex-snapshot
New Scheduling Strategy Based on Multi-Criteria Decision Algorithm
inferredcites →https://doi.org/10.1109/icc.2014.6883859openalex-snapshot
h-DDSS: Heterogeneous Dynamic Dedicated servers scheduling in cloud computing
inferredcites →https://doi.org/10.1109/icccnt.2013.6726717openalex-snapshot
A novel approach for task scheduling in cloud
inferredcites →https://doi.org/10.1109/icnn.1995.488968openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1109/iscmi.2017.8279597openalex-snapshot
Cuckoo search: State-of-the-art and opportunities
inferredcites →https://doi.org/10.1109/mue.2009.52openalex-snapshot
A Context-Aware Framework for Flowable Services
inferredcites →https://doi.org/10.1109/tevc.2013.2281535openalex-snapshot
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
inferredcites →https://doi.org/10.1155/2018/1934784openalex-snapshot
Workflow Scheduling Using Hybrid GA‐PSO Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1504/ijcat.2019.098036openalex-snapshot
A Pareto optimal multi-objective optimisation for parallel dynamic programming algorithm applied in cognitive radio ad hoc networks
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10586-023-04099-3openalex-snapshot
A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems
inferred← citeshttps://doi.org/10.1007/s44196-025-00882-9openalex-snapshot
Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing
inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100944openalex-snapshot
A chameleon and remora search optimization algorithm for handling task scheduling uncertainty problem in cloud computing
inferred← citeshttps://doi.org/10.1109/acit69831.2026.11700060openalex-snapshot
A Novel Hybrid Squirrel Search Algorithm with Deep Q-Learning for Multi-Objective Cloud Task Scheduling
inferred← citeshttps://doi.org/10.1109/aiea70743.2026.11632409openalex-snapshot
An Improved Genetic Algorithm for Multi-Objective Task Scheduling in Crowdsourced Security Testing of Power Industrial Control Software
inferred← citeshttps://doi.org/10.1109/ic2sda68097.2025.11331365openalex-snapshot
A Multi-Objective Squirrel Search Algorithm Approach for Efficient Task Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.1109/ic2sda68097.2025.11331434openalex-snapshot
A Comparative Analysis of MCDM Methods for Efficient Multi-Objective Task Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.1109/pais60821.2023.10322008openalex-snapshot
Task Scheduling Optimization in Cloud Computing: A Comparative Study Between Flower Pollination and Butterfly Optimization Algorithms
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.01505103openalex-snapshot
Modified Artificial Bee Colony Algorithm for Load Balancing in Cloud Computing Environments
inferred← citeshttps://doi.org/10.2298/tsci2502583kopenalex-snapshot
Modelling of horse herd optimization based multi objective task scheduling approach in cloud computing environment
inferred← citeshttps://doi.org/10.32628/gisrrj236433openalex-snapshot
ZEST-Cloud: Zero-Trust, Energy-Aware, SLA-Sensitive Placement for Multi-Cloud Kubernetes
inferred← citeshttps://doi.org/10.3390/electronics12163450openalex-snapshot
An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing
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