On the public citation graph

A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends

https://doi.org/10.1145/3325097
0 signed · 270 inferred · view as graph

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.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/9780470940105.ch12openalex-snapshot
Workflow Engine for Clouds
inferredcites →https://doi.org/10.1002/cpe.3942openalex-snapshot
Deadline‐constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing
inferredcites →https://doi.org/10.1002/cpe.5006openalex-snapshot
Cost‐effective deadline‐aware stochastic scheduling strategy for workflow applications on virtual machines in cloud computing
inferredcites →https://doi.org/10.1007/11568322_23openalex-snapshot
Workflow Data Patterns: Identification, Representation and Tool Support
inferredcites →https://doi.org/10.1007/978-0-85729-049-6_4openalex-snapshot
Scientific Workflows in the Cloud
inferredcites →https://doi.org/10.1007/978-1-84628-757-2_22openalex-snapshot
Workflow Management in Condor
inferredcites →https://doi.org/10.1007/978-1-84628-757-2_4openalex-snapshot
A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis
inferredcites →https://doi.org/10.1007/978-3-319-07995-0_9openalex-snapshot
Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment
inferredcites →https://doi.org/10.1007/978-3-319-08156-4_28openalex-snapshot
Design and Implementation of an Improved Datacenter Broker Policy to Improve the QoS of a Cloud
inferredcites →https://doi.org/10.1007/s00024-010-0161-6openalex-snapshot
CyberShake: A Physics-Based Seismic Hazard Model for Southern California
inferredcites →https://doi.org/10.1007/s10586-009-0119-6openalex-snapshot
Energy aware DAG scheduling on heterogeneous systems
inferredcites →https://doi.org/10.1007/s10723-005-9010-8openalex-snapshot
A Taxonomy of Workflow Management Systems for Grid Computing
inferredcites →https://doi.org/10.1007/s10922-017-9419-yopenalex-snapshot
BULLET: Particle Swarm Optimization Based Scheduling Technique for Provisioned Cloud Resources
inferredcites →https://doi.org/10.1007/s11227-016-1637-7openalex-snapshot
Cost-aware DAG scheduling algorithms for minimizing execution cost on cloud resources
inferredcites →https://doi.org/10.1007/s11227-018-2296-7openalex-snapshot
Framework for automated partitioning and execution of scientific workflows in the cloud
inferredcites →https://doi.org/10.1016/0743-7315(90)90042-nopenalex-snapshot
Scheduling parallel program tasks onto arbitrary target machines
inferredcites →https://doi.org/10.1016/b978-0-12-805467-3.00015-6openalex-snapshot
A Taxonomy and Survey of Fault-Tolerant Workflow Management Systems in Cloud and Distributed Computing Environments
inferredcites →https://doi.org/10.1016/j.asoc.2019.02.004openalex-snapshot
An intelligent water drops-based workflow scheduling for IaaS cloud
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.04.018openalex-snapshot
A novel performance constrained power management framework for cloud computing using an adaptive node scaling approach
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.12.004openalex-snapshot
Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds
inferredcites →https://doi.org/10.1016/j.compeleceng.2018.03.041openalex-snapshot
Characterising resource management performance in Kubernetes
inferredcites →https://doi.org/10.1016/j.eij.2017.07.001openalex-snapshot
An extended Intelligent Water Drops algorithm for workflow scheduling in cloud computing environment
inferredcites →https://doi.org/10.1016/j.future.2005.11.002openalex-snapshot
Scheduling workflow applications on processors with different capabilities
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.2011.05.001openalex-snapshot
Cost optimized provisioning of elastic resources for application workflows
inferredcites →https://doi.org/10.1016/j.future.2014.10.009openalex-snapshot
Optimizing virtual machine allocation for parallel scientific workflows in federated clouds
inferredcites →https://doi.org/10.1016/j.future.2014.10.023openalex-snapshot
Enabling scalable scientific workflow management in the Cloud
inferredcites →https://doi.org/10.1016/j.future.2014.11.007openalex-snapshot
Cloud-aware data intensive workflow scheduling on volunteer computing systems
inferredcites →https://doi.org/10.1016/j.future.2015.01.004openalex-snapshot
Algorithms for cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds
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.future.2015.04.019openalex-snapshot
Taxonomies of workflow scheduling problem and techniques in the cloud
inferredcites →https://doi.org/10.1016/j.future.2015.08.009openalex-snapshot
Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments
inferredcites →https://doi.org/10.1016/j.future.2015.12.005openalex-snapshot
A balanced scheduler with data reuse and replication for scientific workflows in cloud computing systems
inferredcites →https://doi.org/10.1016/j.future.2015.12.014openalex-snapshot
A security and cost aware scheduling algorithm for heterogeneous tasks of scientific workflow in clouds
inferredcites →https://doi.org/10.1016/j.future.2016.05.029openalex-snapshot
Modeling and scheduling hybrid workflows of tasks and task interaction graphs on the cloud
inferredcites →https://doi.org/10.1016/j.future.2017.01.002openalex-snapshot
Scheduling deadline constrained scientific workflows on dynamically provisioned cloud resources
inferredcites →https://doi.org/10.1016/j.future.2017.01.011openalex-snapshot
Execution time estimation for workflow scheduling
inferredcites →https://doi.org/10.1016/j.future.2017.03.008openalex-snapshot
Efficient task scheduling for budget constrained parallel applications on heterogeneous cloud computing systems
inferredcites →https://doi.org/10.1016/j.future.2017.09.054openalex-snapshot
A novel cost-efficient approach for deadline-constrained workflow scheduling by dynamic provisioning of resources
inferredcites →https://doi.org/10.1016/j.future.2017.10.029openalex-snapshot
Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions
inferredcites →https://doi.org/10.1016/j.future.2017.10.035openalex-snapshot
Heuristic-based load-balancing algorithm for IaaS cloud
inferredcites →https://doi.org/10.1016/j.future.2018.01.005openalex-snapshot
A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing
inferredcites →https://doi.org/10.1016/j.future.2018.01.022openalex-snapshot
Serverless computing for container-based architectures
inferredcites →https://doi.org/10.1016/j.future.2018.05.015openalex-snapshot
Toward integrated Cloud–Fog networks for efficient IoT provisioning: Key challenges and solutions
inferredcites →https://doi.org/10.1016/j.jal.2016.11.013openalex-snapshot
Hybrid evolutionary workflow scheduling algorithm for dynamic heterogeneous distributed computational environment
inferredcites →https://doi.org/10.1016/j.jcss.2011.12.015openalex-snapshot
Enforcing QoS in scientific workflow systems enacted over Cloud infrastructures
inferredcites →https://doi.org/10.1016/j.jksuci.2015.09.001openalex-snapshot
A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing
inferredcites →https://doi.org/10.1016/j.jksuci.2017.10.009openalex-snapshot
Cost effective deadline aware scheduling strategy for workflow applications on virtual machines in cloud computing
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.018openalex-snapshot
Towards workflow scheduling in cloud computing: A comprehensive analysis
inferredcites →https://doi.org/10.1016/j.jnca.2018.12.010openalex-snapshot
Meta heuristic-based task deployment mechanism for load balancing in IaaS cloud
inferredcites →https://doi.org/10.1016/j.jpdc.2015.07.004openalex-snapshot
An integrated approach to workflow mapping and task scheduling for delay minimization in distributed environments
inferredcites →https://doi.org/10.1016/j.jpdc.2015.10.001openalex-snapshot
A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
inferredcites →https://doi.org/10.1016/j.jss.2017.05.017openalex-snapshot
Taxonomy of workflow partitioning problems and methods in distributed environments
inferredcites →https://doi.org/10.1016/j.knosys.2015.02.012openalex-snapshot
Resource-efficient workflow scheduling in clouds
inferredcites →https://doi.org/10.1016/j.knosys.2016.01.037openalex-snapshot
An immune system-inspired rescheduling algorithm for workflow in Cloud systems
inferredcites →https://doi.org/10.1016/j.knosys.2017.08.006openalex-snapshot
User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm
inferredcites →https://doi.org/10.1016/j.parco.2013.03.002openalex-snapshot
Cost-efficient task scheduling for executing large programs in the cloud
inferredcites →https://doi.org/10.1016/j.parco.2017.01.002openalex-snapshot
A hybrid multi-objective Particle Swarm Optimization for scientific workflow scheduling
inferredcites →https://doi.org/10.1016/j.procs.2014.05.048openalex-snapshot
On Resource Efficiency of Workflow Schedules
inferredcites →https://doi.org/10.1016/j.procs.2014.05.049openalex-snapshot
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms
inferredcites →https://doi.org/10.1016/j.procs.2015.05.442openalex-snapshot
A Clustering-Based Approach to Static Scheduling of Multiple Workflows with Soft Deadlines in Heterogeneous Distributed Systems
inferredcites →https://doi.org/10.1016/j.procs.2015.11.057openalex-snapshot
Hard-deadline Constrained Workflows Scheduling Using Metaheuristic Algorithms
inferredcites →https://doi.org/10.1016/j.procs.2016.05.529openalex-snapshot
Workflow Scheduling Algorithms for Hard-deadline Constrained Cloud Environments
inferredcites →https://doi.org/10.1016/j.procs.2016.07.216openalex-snapshot
Exploring the Efficacy of Branch and Bound Strategy for Scheduling Workflows on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1016/j.procs.2016.11.045openalex-snapshot
Automatic Workflow Scheduling Tuning for Distributed Processing Systems
inferredcites →https://doi.org/10.1016/j.scient.2011.11.047openalex-snapshot
Deadline-constrained workflow scheduling in software as a service Cloud
inferredcites →https://doi.org/10.1016/s0022-0000(75)80008-0openalex-snapshot
NP-complete scheduling problems
inferredcites →https://doi.org/10.1080/0952813x.2015.1020524openalex-snapshot
A hybrid heuristic workflow scheduling algorithm for cloud computing environments
inferredcites →https://doi.org/10.1080/10798587.2016.1220127openalex-snapshot
Design of an improved PSO algorithm for workflow scheduling in cloud computing environment
inferredcites →https://doi.org/10.1109/71.207593openalex-snapshot
A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures
inferredcites →https://doi.org/10.1109/71.265940openalex-snapshot
A genetic algorithm for multiprocessor scheduling
inferredcites →https://doi.org/10.1109/71.503776openalex-snapshot
Dynamic critical-path scheduling: an effective technique for allocating task graphs to multiprocessors
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/aina.2010.31openalex-snapshot
A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments
inferredcites →https://doi.org/10.1109/cbd.2017.24openalex-snapshot
Towards Cost Reduction in Cloud-Based Workflow Management through Data Replication
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/cloud.2012.83openalex-snapshot
Bi-criteria Workflow Tasks Allocation and Scheduling in Cloud Computing Environments
inferredcites →https://doi.org/10.1109/cloud.2015.88openalex-snapshot
Everything as a Service (XaaS) on the Cloud: Origins, Current and Future Trends
inferredcites →https://doi.org/10.1109/cogsima.2015.7108192openalex-snapshot
Data to decision: pushing situational information needs to the edge of the network
inferredcites →https://doi.org/10.1109/ecows.2011.27openalex-snapshot
A Learning Architecture for Scheduling Workflow Applications in the Cloud
inferredcites →https://doi.org/10.1109/escience.2012.6404482openalex-snapshot
Why workflows break — Understanding and combating decay in Taverna workflows
inferredcites →https://doi.org/10.1109/grid.2005.1542733openalex-snapshot
ASKALON: a Grid application development and computing environment
inferredcites →https://doi.org/10.1109/icdcsw.2017.36openalex-snapshot
Serverless Computing: Design, Implementation, and Performance
inferredcites →https://doi.org/10.1109/icis.2016.7550820openalex-snapshot
A deadline-constrained scheduling for dynamic multi-instances parameter sweep workflow
inferredcites →https://doi.org/10.1109/infocom.2017.8057116openalex-snapshot
Online job dispatching and scheduling in edge-clouds
inferredcites →https://doi.org/10.1109/jiot.2016.2584538openalex-snapshot
Fog and IoT: An Overview of Research Opportunities
inferredcites →https://doi.org/10.1109/jiot.2018.2838022openalex-snapshot
Hierarchical Fog-Cloud Computing for IoT Systems: A Computation Offloading Game
inferredcites →https://doi.org/10.1109/sc.2010.17openalex-snapshot
Data Sharing Options for Scientific Workflows on Amazon EC2
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.2014.2350490openalex-snapshot
Adaptive Workflow Scheduling on Cloud Computing Platforms with IterativeOrdinal Optimization
inferredcites →https://doi.org/10.1109/tcc.2015.2404807openalex-snapshot
Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS 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/tcc.2015.2453966openalex-snapshot
EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment
inferredcites →https://doi.org/10.1109/tetc.2015.2508382openalex-snapshot
Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System
inferredcites →https://doi.org/10.1109/tmc.2017.2734083openalex-snapshot
Resource Scheduling and Delay Analysis for Workflow in Wireless Small Cloud
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tpds.2012.257openalex-snapshot
A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments
inferredcites →https://doi.org/10.1109/tpds.2015.2446459openalex-snapshot
Evolutionary Multi-Objective Workflow Scheduling in Cloud
inferredcites →https://doi.org/10.1109/tpds.2016.2556668openalex-snapshot
Workflow Scheduling in Multi-Tenant Cloud Computing Environments
inferredcites →https://doi.org/10.1109/wf-iot.2014.6803127openalex-snapshot
Sensor discovery and configuration framework for the Internet of Things paradigm
inferredcites →https://doi.org/10.1117/12.550551openalex-snapshot
Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand
inferredcites →https://doi.org/10.1126/science.256.5055.325openalex-snapshot
LIGO: The Laser Interferometer Gravitational-Wave Observatory
inferredcites →https://doi.org/10.1145/1066677.1066835openalex-snapshot
Dynamic scheduling of scientific workflow applications on the grid
inferredcites →https://doi.org/10.1145/1084805.1084816openalex-snapshot
Scheduling of scientific workflows in the ASKALON grid environment
inferredcites →https://doi.org/10.1145/1272996.1273025openalex-snapshot
Container-based operating system virtualization
inferredcites →https://doi.org/10.1145/1272998.1273025openalex-snapshot
Container-based operating system virtualization
inferredcites →https://doi.org/10.1145/2063384openalex-snapshot
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
inferredcites →https://doi.org/10.1145/2063384.2063449openalex-snapshot
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/3007203.3007217openalex-snapshot
Building a Chatbot with Serverless Computing
inferredcites →https://doi.org/10.1145/3057266openalex-snapshot
Fog Computing for Sustainable Smart Cities
inferredcites →https://doi.org/10.1145/3241737openalex-snapshot
A Manifesto for Future Generation Cloud Computing
inferredcites →https://doi.org/10.1155/2005/128026openalex-snapshot
Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems
inferredcites →https://doi.org/10.1155/2011/361854openalex-snapshot
Scalability of Parallel Scientific Applications on the Cloud
inferredcites →https://doi.org/10.1371/journal.pone.0003197openalex-snapshot
High-Throughput, Kingdom-Wide Prediction and Annotation of Bacterial Non-Coding RNAs
inferredcites →https://doi.org/10.14311/490openalex-snapshot
Static vs. Dynamic List-Scheduling Performance Comparison
inferredcites →https://doi.org/10.25103/jestr.065.05openalex-snapshot
Time - Constrained Workflow Scheduling In Cloud Environment Using Simulation Annealing Algorithm
inferredcites →https://doi.org/10.3844/jcssp.2007.94.103openalex-snapshot
Low Complexity Performance Effective Task Scheduling Algorithm for Heterogeneous Computing Environments
inferredcites →https://doi.org/10.48550/arxiv.1703.07562openalex-snapshot
Snafu: Function-as-a-Service (FaaS) Runtime Design and Implementation
inferredcites →https://doi.org/10.5860/choice.48-4528openalex-snapshot
Grids, clouds and virtualization

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4655012openalex-extracted
inferred← citeshttps://doi.org/10.1002/9781394386659.ch6openalex-snapshot
Bioinstrumentation and Medical Devices
inferred← citeshttps://doi.org/10.1002/9783527855018.ch10openalex-snapshot
Optimizing Workflows with Digital Tools
inferred← citeshttps://doi.org/10.1002/cpe.70399openalex-snapshot
An Opposition‐Based Chaotic Enhanced African Vulture Algorithm for Efficient Scientific Workflow Scheduling in Cloud
inferred← citeshttps://doi.org/10.1002/cpe.7452openalex-snapshot
An online workflow scheduling algorithm considering license limitation in heterogeneous environment
inferred← citeshttps://doi.org/10.1002/cpe.7842openalex-snapshot
Mapping tree‐shaped workflows on systems with different memory sizes and processor speeds
inferred← citeshttps://doi.org/10.1002/cpe.8393openalex-snapshot
Multi‐Objective Workflow Scheduling in Cloud Using Archimedes Optimization Algorithm
inferred← citeshttps://doi.org/10.1002/ett.4492openalex-snapshot
Revenue maximization approaches in IaaS clouds: Research challenges and opportunities
inferred← citeshttps://doi.org/10.1002/spe.3025openalex-snapshot
A comprehensive survey on nature‐inspired algorithms and their applications in edge computing: Challenges and future directions
inferred← citeshttps://doi.org/10.1002/spe.3292openalex-snapshot
A survey on energy‐efficient workflow scheduling algorithms in cloud computing
inferred← citeshttps://doi.org/10.1007/978-3-030-69893-5_2openalex-snapshot
Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-95384-3_32openalex-snapshot
Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-22698-4_1openalex-snapshot
On the Feasibility of Simulation-Driven Portfolio Scheduling for Cyberinfrastructure Runtime Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-31209-0_12openalex-snapshot
Mapping Tree-Shaped Workflows on Memory-Heterogeneous Architectures
inferred← citeshttps://doi.org/10.1007/978-3-031-34107-6_1openalex-snapshot
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles
inferred← citeshttps://doi.org/10.1007/978-3-031-41673-6_14openalex-snapshot
Scheduling of Workflows with Task Resource Requirements in Cluster Environments
inferred← citeshttps://doi.org/10.1007/978-3-031-49435-2_1openalex-snapshot
Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances
inferred← citeshttps://doi.org/10.1007/978-3-031-57931-8_18openalex-snapshot
Workflow Scheduling in the Cloud-Edge Continuum
inferred← citeshttps://doi.org/10.1007/978-3-031-69583-4_21openalex-snapshot
A Framework for Automated Parallel Execution of Scientific Multi-workflow Applications in the Cloud with Work Stealing
inferred← citeshttps://doi.org/10.1007/978-3-031-87781-0_38openalex-snapshot
Scheduling in Fog, Edge and Cloud Computing: A Review
inferred← citeshttps://doi.org/10.1007/978-981-95-2581-2_16openalex-snapshot
A Low Migration and Low Energy Consumption Fog Computing Workflow Scheduling Framework for Multiple Constraints
inferred← citeshttps://doi.org/10.1007/978-981-99-3569-7_7openalex-snapshot
Secured Workflow Scheduling Techniques in Cloud: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-99-8979-9_12openalex-snapshot
Scheduling Containerized Workflow in Multi-cluster Kubernetes
inferred← citeshttps://doi.org/10.1007/s00170-024-14739-6openalex-snapshot
Thermal environment simulation and product visual design of flexible manufacturing system based on robot collaboration
inferred← citeshttps://doi.org/10.1007/s00170-024-14895-9openalex-snapshot
Hybrid manufacturing precision machinery production based on thermal energy cycle promotes enterprise economic benefits
inferred← citeshttps://doi.org/10.1007/s00500-022-06782-wopenalex-snapshot
Improved swarm search algorithm for scheduling budget-constrained workflows in the cloud
inferred← citeshttps://doi.org/10.1007/s10462-024-10756-9openalex-snapshot
Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions
inferred← citeshttps://doi.org/10.1007/s10586-021-03293-5openalex-snapshot
Resource provisioning for containerized applications
inferred← citeshttps://doi.org/10.1007/s10664-025-10705-2openalex-snapshot
An Empirical Investigation on the Challenges in Scientific Workflow Systems Development
inferred← citeshttps://doi.org/10.1007/s10723-024-09746-6openalex-snapshot
Work Scheduling in Cloud Network Based on Deep Q-LSTM Models for Efficient Resource Utilization
inferred← citeshttps://doi.org/10.1007/s10796-023-10436-zopenalex-snapshot
Business-Process-Driven Service Composition in a Hybrid Cloud Environment
inferred← citeshttps://doi.org/10.1007/s10951-024-00820-1openalex-snapshot
Scientific workflow scheduling algorithms in cloud environments: a comprehensive taxonomy, survey, and future directions
inferred← citeshttps://doi.org/10.1007/s11227-022-04438-yopenalex-snapshot
Analysis of workflow schedulers in simulated distributed environments
inferred← citeshttps://doi.org/10.1007/s11227-023-05110-9openalex-snapshot
MAA: multi-objective artificial algae algorithm for workflow scheduling in heterogeneous fog-cloud environment
inferred← citeshttps://doi.org/10.1007/s11831-023-10021-2openalex-snapshot
Next Generation Task Offloading Techniques in Evolving Computing Paradigms: Comparative Analysis, Current Challenges, and Future Research Perspectives
inferred← citeshttps://doi.org/10.1007/s12652-022-04207-yopenalex-snapshot
A secured GA-WPC framework for scheduling the independent tasks in cloud environment
inferred← citeshttps://doi.org/10.1007/s42979-025-04638-2openalex-snapshot
PSOEGWO: An Efficient Workflow Scheduling Algorithm for Clouds
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106411openalex-snapshot
Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107943openalex-snapshot
Pareto based ant lion optimizer for energy efficient scheduling in cloud environment
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.asoc.2023.110027openalex-snapshot
Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110655openalex-snapshot
Knowledge-driven adaptive evolutionary multi-objective scheduling algorithm for cloud workflows
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110966openalex-snapshot
Dual-mutation mechanism-driven snake optimizer for scheduling multiple budget constrained workflows in the cloud
inferred← citeshttps://doi.org/10.1016/j.cie.2022.108033openalex-snapshot
Local search driven periodic scheduling for workflows with random task runtime in clouds
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100887openalex-snapshot
Revisiting workflow scheduling with the power of edge computing: Taxonomy, review, and open challenges
inferred← citeshttps://doi.org/10.1016/j.dcan.2023.12.009openalex-snapshot
Cost-aware cloud workflow scheduling using DRL and simulated annealing
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104234openalex-snapshot
Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120972openalex-snapshot
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121833openalex-snapshot
Multitasking bi-level evolutionary algorithm for data-intensive scientific workflows on clouds
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123494openalex-snapshot
A bidirectional workflow scheduling approach with feedback mechanism in clouds
inferred← citeshttps://doi.org/10.1016/j.future.2021.04.009openalex-snapshot
A survey of domains in workflow scheduling in computing infrastructures: Community and keyword analysis, emerging trends, and taxonomies
inferred← citeshttps://doi.org/10.1016/j.future.2022.07.007openalex-snapshot
A multi-class workflow ensemble management system using on-demand and spot instances in cloud
inferred← citeshttps://doi.org/10.1016/j.future.2022.09.013openalex-snapshot
Look-ahead workflow scheduling with width changing trend in clouds
inferred← citeshttps://doi.org/10.1016/j.future.2022.11.031openalex-snapshot
Multi-search-routes-based methods for minimizing makespan of homogeneous and heterogeneous resources in Cloud computing
inferred← citeshttps://doi.org/10.1016/j.future.2024.07.005openalex-snapshot
An exploration of online-simulation-driven portfolio scheduling in Workflow Management Systems
inferred← citeshttps://doi.org/10.1016/j.iot.2021.100440openalex-snapshot
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
inferred← citeshttps://doi.org/10.1016/j.jksuci.2021.03.002openalex-snapshot
Container scheduling techniques: A Survey and assessment
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103520openalex-snapshot
Deep reinforcement learning-based algorithms selectors for the resource scheduling in hierarchical Cloud computing
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103648openalex-snapshot
AI augmented Edge and Fog computing: Trends and challenges
inferred← citeshttps://doi.org/10.1016/j.jnca.2026.104592openalex-snapshot
Workflow-as-a-Service brokers in cloud environments: A systematic mapping study
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105930openalex-snapshot
Balanced scheduling of distributed workflow tasks based on clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.08.145openalex-snapshot
Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds
inferred← citeshttps://doi.org/10.1016/j.simpat.2025.103082openalex-snapshot
Scheduling bag-of-task jobs with security requirements and dual-criteria partial computations in a fog – cloud system
inferred← citeshttps://doi.org/10.1016/j.swevo.2022.101094openalex-snapshot
Genetic-based optimization in fog computing: Current trends and research opportunities
inferred← citeshttps://doi.org/10.1016/j.swevo.2024.101575openalex-snapshot
Information interaction and partial growth-based multi-population growable genetic algorithm for multi-dimensional resources utilization optimization of cloud computing
inferred← citeshttps://doi.org/10.1016/j.swevo.2024.101751openalex-snapshot
A tri-chromosome-based evolutionary algorithm for energy-efficient workflow scheduling in clouds
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.102968openalex-snapshot
BeeFlow: Behavior tree-based Serverless workflow modeling and scheduling for resource-constrained edge clusters
inferred← citeshttps://doi.org/10.1063/5.0112122openalex-snapshot
A survey on provisioning and scheduling algorithms for scientific workflows in cloud computing
inferred← citeshttps://doi.org/10.1093/jcde/qwac130openalex-snapshot
A novel multi-objective service composition architecture for blockchain-based cloud manufacturing
inferred← citeshttps://doi.org/10.1109/access.2020.3022957openalex-snapshot
Enhancing the Access Privacy of IDaaS System Using SAML Protocol in Fog Computing
inferred← citeshttps://doi.org/10.1109/access.2021.3091310openalex-snapshot
Multi-Objective Optimization of Deadline and Budget-Aware Workflow Scheduling in Uncertain Clouds
inferred← citeshttps://doi.org/10.1109/access.2021.3116716openalex-snapshot
Hybrid Workflow Scheduling on Edge Cloud Computing 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/access.2024.3366081openalex-snapshot
Optimizing the Execution of Product Data Models
inferred← citeshttps://doi.org/10.1109/access.2024.3439695openalex-snapshot
BriskChain: Decentralized Function Composition for High-Performance Serverless Computing
inferred← citeshttps://doi.org/10.1109/ccci49893.2020.9256692openalex-snapshot
Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud
inferred← citeshttps://doi.org/10.1109/ccgrid51090.2021.00095openalex-snapshot
Algorithms for scheduling scientific workflows on serverless architecture
inferred← citeshttps://doi.org/10.1109/ccgrid64434.2025.00036openalex-snapshot
Memory-Aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
inferred← citeshttps://doi.org/10.1109/ccgrid64434.2025.00069openalex-snapshot
Choreography and Profiling of Quantum-Classical FaaS Workflows on Hybrid Clouds
inferred← citeshttps://doi.org/10.1109/ccis59572.2023.10263040openalex-snapshot
LPT-One and BFD-One Search Algorithms for Load Balance and Bin-Packing of Cloud Computing
inferred← citeshttps://doi.org/10.1109/cec45853.2021.9504695openalex-snapshot
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach
inferred← citeshttps://doi.org/10.1109/cits61189.2024.10607989openalex-snapshot
Allocation and Scheduling of Linear Workflows Incorporating Security Constraints Across Fog and Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/cits65975.2025.11099220openalex-snapshot
Scheduling Gang Jobs with Security Requirements on a Hybrid Cloud
inferred← citeshttps://doi.org/10.1109/cloud62652.2024.00051openalex-snapshot
Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm
inferred← citeshttps://doi.org/10.1109/comsnets63942.2025.10885637openalex-snapshot
Evaluating Kubernetes Distributions: Insights from Stress Testing Scenarios
inferred← citeshttps://doi.org/10.1109/comst.2022.3199544openalex-snapshot
Machine and Deep Learning for Resource Allocation in Multi-Access Edge Computing: A Survey
inferred← citeshttps://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00112openalex-snapshot
Task Scheduling Based on Multi-level Hashing and HRRN in cloud computing
inferred← citeshttps://doi.org/10.1109/etfa45728.2021.9613386openalex-snapshot
Cloud Native Computing for Industry 4.0: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/ficloud66139.2025.00027openalex-snapshot
Scheduling Complex Workloads with Security Constraints in a Cloud-Fog-Mist System
inferred← citeshttps://doi.org/10.1109/fmec62297.2024.10710231openalex-snapshot
Scheduling Linear Workflows with Multicriteria based Partial Computations in a Cloud–Fog–Mist Environment
inferred← citeshttps://doi.org/10.1109/greentech46478.2020.9289818openalex-snapshot
Energy Efficient Workflow Scheduling of Cloud Services Using Chaotic Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/iceccs70432.2026.11651166openalex-snapshot
Study on Interference Power and Multi-hop Link Capacity in the multiple-user scenario
inferred← citeshttps://doi.org/10.1109/icoei56765.2023.10125621openalex-snapshot
Map-Reduce Task Scheduling Optimization Techniques: A Comparative Study
inferred← citeshttps://doi.org/10.1109/icsa-c54293.2022.00048openalex-snapshot
Towards Supporting the Generation of Infrastructure as Code Through Modelling Approaches - Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/ispdc62236.2024.10705392openalex-snapshot
Energy Optimization through a Multidimensional Distributed Scheduling Approach
inferred← citeshttps://doi.org/10.1109/itss-ioe56359.2022.9990957openalex-snapshot
Recent Advances in Edge Computing for 6G
inferred← citeshttps://doi.org/10.1109/jiot.2024.3351630openalex-snapshot
A Cost-Driven Intelligence Scheduling Approach for Deadline-Constrained IoT Workflow Applications in Cloud Computing
inferred← citeshttps://doi.org/10.1109/jiot.2026.3657425openalex-snapshot
A Continuous Optimization Approach for Deadline-Constrained Cloud Workflow Scheduling
inferred← citeshttps://doi.org/10.1109/qce57702.2023.00113openalex-snapshot
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques
inferred← citeshttps://doi.org/10.1109/qsw67625.2025.00039openalex-snapshot
Slackness-Driven Microservice Deployment Across Geo-Distributed Clouds: Workflow-Aware Scheduling for End-to-End QoS Assurance
inferred← citeshttps://doi.org/10.1109/rmkmate69073.2026.11518997openalex-snapshot
Deep-Learning-Based Energy-Conscious Scheduling of Green Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/southeastcon63549.2026.11476031openalex-snapshot
Self-Adaptive AI-Based Orchestration for Multi-Cloud Interoperability and Performance Optimization
inferred← citeshttps://doi.org/10.1109/tase.2020.3046673openalex-snapshot
Endpoint Communication Contention-Aware Cloud Workflow Scheduling
inferred← citeshttps://doi.org/10.1109/tase.2022.3204313openalex-snapshot
Dynamic Scheduling Stochastic Multiworkflows With Deadline Constraints in Clouds
inferred← citeshttps://doi.org/10.1109/tase.2022.3217666openalex-snapshot
Classification-Based Diverse Workflows Scheduling in Clouds
inferred← citeshttps://doi.org/10.1109/tase.2023.3336807openalex-snapshot
A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds
inferred← citeshttps://doi.org/10.1109/tcc.2021.3137881openalex-snapshot
A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments
inferred← citeshttps://doi.org/10.1109/tcc.2025.3528446openalex-snapshot
CARL: Cost-Optimized Online Container Placement on VMs Using Adversarial Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tii.2025.3534414openalex-snapshot
A Novel Distributed Orchestration Engine for Time-Sensitive Robotic Service Orchestration Based on Cloud-Edge Collaboration
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3587108openalex-snapshot
Energy, Cost and Reliability-Aware Workflow Scheduling on Multi-Cloud Systems: A Multi-Objective Evolutionary Approach
inferred← citeshttps://doi.org/10.1109/tpds.2021.3135907openalex-snapshot
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/tsc.2021.3075030openalex-snapshot
Service Selection With Package Bundles and Compatibility Constraints
inferred← citeshttps://doi.org/10.1109/tsc.2022.3196620openalex-snapshot
ET2FA: A Hybrid Heuristic Algorithm for Deadline-constrained Workflow Scheduling in Cloud
inferred← citeshttps://doi.org/10.1109/tsc.2024.3350711openalex-snapshot
Heterogeneity-Aware Proactive Elastic Resource Allocation for Serverless Applications
inferred← citeshttps://doi.org/10.1109/tsusc.2021.3057983openalex-snapshot
A Survey of Low-Energy Parallel Scheduling Algorithms
inferred← citeshttps://doi.org/10.1109/tsusc.2022.3146138openalex-snapshot
Reliability/Performance-Aware Scheduling for Parallel Applications With Energy Constraints on Heterogeneous Computing Systems
inferred← citeshttps://doi.org/10.1109/tsusc.2024.3360975openalex-snapshot
Battery-Aware Workflow Scheduling for Portable Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/tsusc.2026.3720619openalex-snapshot
A Transportation Problem–Based Heuristic for Energy-Efficient Scheduling of Serverless Workflow Applications
inferred← citeshttps://doi.org/10.1145/3447548.3467119openalex-snapshot
Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse
inferred← citeshttps://doi.org/10.1145/3503222.3507717openalex-snapshot
FaaSFlow: enable efficient workflow execution for function-as-a-service
inferred← citeshttps://doi.org/10.1145/3508360openalex-snapshot
The Serverless Computing Survey: A Technical Primer for Design Architecture
inferred← citeshttps://doi.org/10.1145/3539606openalex-snapshot
Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges
inferred← citeshttps://doi.org/10.1145/3571729openalex-snapshot
Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications
inferred← citeshttps://doi.org/10.1145/3623278.3624755openalex-snapshot
DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration
inferred← citeshttps://doi.org/10.1145/3673038.3673068openalex-snapshot
Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms✱
inferred← citeshttps://doi.org/10.1145/3721889.3721931openalex-snapshot
RemWoW: Resource Efficient Management of Workloads of Repeated Workflows
inferred← citeshttps://doi.org/10.1145/3754598.3754639openalex-snapshot
Deadline-Aware Scheduling of Mixed-Criticality Tasks
inferred← citeshttps://doi.org/10.1155/2022/7862911openalex-snapshot
SoDa: A Serverless‐Oriented Deadline‐Aware Workflow Scheduling Engine for IoT Applications in Edge Clouds
inferred← citeshttps://doi.org/10.11591/ijece.v12i1.pp880-895openalex-snapshot
Hybrid scheduling algorithms in cloud computing: a review
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0111078openalex-snapshot
HPSOGWO: A Hybrid Algorithm for Scientific Workflow Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0121290openalex-snapshot
Workflow Scheduling and Offloading for Service-based Applications in Hybrid Fog-Cloud Computing
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9s.7744openalex-snapshot
A Hybrid Grey Wolf Optimization and Constriction Factor based PSO Algorithm for Workflow Scheduling in Cloud
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3842400/v1openalex-snapshot
Mobile-Aware Task Offloading Strategy in Large-Scale Asynchronous Mobile Edge Computing based on a Hybrid Deep Q-learning and an Index Policy Scheme
inferred← citeshttps://doi.org/10.22541/au.168008246.60683124/v1openalex-snapshot
BriskChain: Decentralized Function Composition for High-performance Serverless Computing
inferred← citeshttps://doi.org/10.23919/cje.2023.00.378openalex-snapshot
A Multi-Granularity Task Scheduling Method for Heterogeneous Computing Resources
inferred← citeshttps://doi.org/10.26599/tst.2022.9010065openalex-snapshot
Monte Carlo Simulation-Based Robust Workflow Scheduling for Spot Instances in Cloud Environments
inferred← citeshttps://doi.org/10.2991/978-94-6463-264-4_25openalex-snapshot
Collaborative Innovation of Engineering Discipline Based on Digital Education Management in Cloud Environment
inferred← citeshttps://doi.org/10.30534/ijatcse/2020/200942020openalex-snapshot
Cloud Data Pipeline Automation Framework with Integrated Budget Management
inferred← citeshttps://doi.org/10.32604/cmc.2022.026370openalex-snapshot
Efficient Computation Offloading of IoT-Based Workflows Using Discrete Teaching Learning-Based Optimization
inferred← citeshttps://doi.org/10.32604/csse.2024.050406openalex-snapshot
A Novel Optimization Approach for Energy-Efficient Multiple Workflow Scheduling in Cloud Environment
inferred← citeshttps://doi.org/10.3390/app131910689openalex-snapshot
Time-Sensitive and Resource-Aware Concurrent Workflow Scheduling for Edge Computing Platforms Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/app15105720openalex-snapshot
Optimizing Container Placement in Data Centers by Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/computers10100130openalex-snapshot
IoT Serverless Computing at the Edge: A Systematic Mapping Review
inferred← citeshttps://doi.org/10.3390/electronics14132586openalex-snapshot
An Evolutionary Algorithm for Multi-Objective Workflow Scheduling with Adaptive Dynamic Grouping
inferred← citeshttps://doi.org/10.3390/sym12040551openalex-snapshot
A Survey on QoS Requirements Based on Particle Swarm Optimization Scheduling Techniques for Workflow Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.35940/ijeat.a3139.1011121openalex-snapshot
Comparison of Algorithms for W orkflow Applications in C loud C omputing
inferred← citeshttps://doi.org/10.36647/ttitccr/02.02.art004openalex-snapshot
Fundamentals of Designing and Building Cloud Environments
inferred← citeshttps://doi.org/10.48550/arxiv.2105.12507openalex-snapshot
Cost models for geo-distributed massively parallel streaming analytics
inferred← citeshttps://doi.org/10.5120/cae2023652900openalex-snapshot
Development of a High Performance Toolkit for Modelling and Simulating Cloud Computing Environment and Application
inferred← citeshttps://doi.org/10.70675/80e52c0ezaf34z4d5cz9828zfb26e4add42aopenalex-snapshot
Placement optimisé de services dans les architectures fog computing et internet of things sous contraintes d'énergie, de QoS et de mobilité
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.