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Using Time Discretization to Schedule Scientific Workflows in Multiple Cloud Providers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10479-005-3446-xopenalex-snapshot
Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications
inferredcites →https://doi.org/10.1016/j.compchemeng.2004.05.002openalex-snapshot
Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review
inferredcites →https://doi.org/10.1016/j.ejor.2011.06.021openalex-snapshot
Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry
inferredcites →https://doi.org/10.1016/j.future.2011.07.003openalex-snapshot
Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers
inferredcites →https://doi.org/10.1016/j.jcss.2011.12.014openalex-snapshot
SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments
inferredcites →https://doi.org/10.1016/s0098-1354(98)00081-7openalex-snapshot
Improving the efficiency of discrete time scheduling formulation
inferredcites →https://doi.org/10.1109/ccgrid.2007.101openalex-snapshot
Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources
inferredcites →https://doi.org/10.1109/cloud.2010.58openalex-snapshot
Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads
inferredcites →https://doi.org/10.1109/mcom.2012.6295710openalex-snapshot
Scheduling in hybrid clouds
inferredcites →https://doi.org/10.1109/noms.2012.6212007openalex-snapshot
Workflow scheduling for SaaS / PaaS cloud providers considering two SLA levels
inferredcites →https://doi.org/10.48550/arxiv.1207.5949openalex-snapshot
Using Open Standards for Interoperability - Issues, Solutions, and Challenges facing Cloud Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-32152-3_9openalex-snapshot
Adaptive Multi-level Workflow Scheduling with Uncertain Task Estimates
inferred← citeshttps://doi.org/10.1007/s00170-015-7804-9openalex-snapshot
A scientific workflow management system architecture and its scheduling based on cloud service platform for manufacturing big data analytics
inferred← citeshttps://doi.org/10.1007/s11227-018-2465-8openalex-snapshot
Integer linear programming-based cost optimization for scheduling scientific workflows in multi-cloud environments
inferred← citeshttps://doi.org/10.1016/j.array.2026.101245openalex-snapshot
Optimizing workflow scheduling in cloud computing: A mixed-integer programming and adaptive multi-objective particle swarm optimization approach with stochastic energy considerations
inferred← citeshttps://doi.org/10.1016/j.cosrev.2018.08.002openalex-snapshot
Scheduling in distributed systems: A cloud computing perspective
inferred← citeshttps://doi.org/10.1016/j.future.2015.01.004openalex-snapshot
Algorithms for cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds
inferred← citeshttps://doi.org/10.1016/j.future.2015.01.007openalex-snapshot
Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities
inferred← citeshttps://doi.org/10.1016/j.future.2015.09.002openalex-snapshot
Multi-provider cloud computing network infrastructure optimization
inferred← citeshttps://doi.org/10.1016/j.future.2016.05.029openalex-snapshot
Modeling and scheduling hybrid workflows of tasks and task interaction graphs on the cloud
inferred← citeshttps://doi.org/10.1016/j.future.2017.07.061openalex-snapshot
Time-discretization for speeding-up scheduling of deadline-constrained workflows in clouds
inferred← citeshttps://doi.org/10.1016/j.future.2018.03.055openalex-snapshot
A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing
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.jnca.2017.11.006openalex-snapshot
Analytics in/for cloud-an interdependence: A review
inferred← citeshttps://doi.org/10.1016/j.jss.2015.11.023openalex-snapshot
Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues
inferred← citeshttps://doi.org/10.1109/ucc.2013.82openalex-snapshot
On the Performance-Cost Tradeoff for Workflow Scheduling in Hybrid Clouds
inferred← citeshttps://doi.org/10.1155/2015/680271openalex-snapshot
Scheduling Multilevel Deadline-Constrained Scientific Workflows on Clouds Based on Cost Optimization
inferred← citeshttps://doi.org/10.11606/t.45.2016.tde-28062016-155756openalex-snapshot
Informações de suporte ao escalonamento de workflows científicos para a execução em plataformas de computação em nuvem
inferred← citeshttps://doi.org/10.2991/iwmecs-15.2015.44openalex-snapshot
An Efficient Method to Outsource Applications among Multiple Clouds
inferred← citeshttps://doi.org/10.47749/t/unicamp.2017.991387openalex-snapshot
Providing robustness to non-robust workflow schedulers to uncertainties of available bandwidth
inferred← citeshttps://doi.org/10.48550/arxiv.2004.10077openalex-snapshot
A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews -- Extended Technical Report
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