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Bi-criteria Workflow Tasks Allocation and Scheduling in Cloud Computing Environments
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-85729-049-6_4openalex-snapshot
Scientific Workflows in the Cloud
inferredcites →https://doi.org/10.1007/978-3-642-10665-1_4openalex-snapshot
Cloudbus Toolkit for Market-Oriented Cloud Computing
inferredcites →https://doi.org/10.1007/b106275openalex-snapshot
Multicriteria Scheduling : Theory, Models and Algorithms
inferredcites →https://doi.org/10.1016/b978-0-12-804018-8.15003-xopenalex-snapshot
The NIST Definition of Cloud Computing
inferredcites →https://doi.org/10.1016/j.future.2008.06.012openalex-snapshot
Workflows and e-Science: An overview of workflow system features and capabilities
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/s0022-0000(75)80008-0openalex-snapshot
NP-complete scheduling problems
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/ccgrid.2008.21openalex-snapshot
Bi-criteria Scheduling of Scientific Workflows for the Grid
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/cloudcom.2011.50openalex-snapshot
Cost-Efficient Scheduling Heuristics for Deadline Constrained Workloads on Hybrid Clouds
inferredcites →https://doi.org/10.1109/esciw.2009.5408002openalex-snapshot
Scientific workflow applications on Amazon EC2
inferredcites →https://doi.org/10.1109/hpcc.2008.172openalex-snapshot
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
inferredcites →https://doi.org/10.1109/iti.2008.4588381openalex-snapshot
Cloud computing — Issues, research and implementations
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/10.6028/nist.sp.800-145openalex-snapshot
The NIST definition of cloud computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Resource Management and Scheduling
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A clustering based coscheduling strategy for efficient scientific workflow execution in cloud computing
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Deadline‐constrained cost‐energy aware workflow scheduling in cloud
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Migrating Scientific Workflow Management Systems from the Grid to the Cloud
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An Architecture for Resource Management in a Fog-to-Cloud Framework
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Dynamic Task Allocation for Data-Intensive Workflows in Cloud Environment
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Double Deep Q-Network-Based Time and Energy-Efficient Mobility-Aware Workflow Migration Approach
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Workflow Scheduling on Virtualized Servers
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Workflow Scheduling on Federated Clouds
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Context-Aware Decentralization Approach for Adaptive BPEL Process in Cloud
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Unified Multi-constraint and Multi-objective Workflow Scheduling for Cloud System
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Workflow Scheduling Algorithms and Approaches
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Task Scheduling in Cloud Computing Environment: A Comprehensive Analysis
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Multi-objective Resources Allocation Approaches for Workflow Applications in Cloud Environments
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Resource Scheduling Algorithm for Heterogeneous High-Performance Clusters
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Dynamic resource allocation in cloud computing: analysis and taxonomies
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TC3PoP: a time-cost compromised workflow scheduling heuristic customized for cloud environments
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A Survey of PSO-Based Scheduling Algorithms in Cloud Computing
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Workflow scheduling in cloud: a survey
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Dealing with structural changes on provisioning resources for deadline-constrained workflow
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/10.1007/s13042-018-0866-xopenalex-snapshot
Thinking and methodology of multi-objective optimization
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.2015.04.019openalex-snapshot
Taxonomies of workflow scheduling problem and techniques in the cloud
inferred← citeshttps://doi.org/10.1016/j.future.2016.06.029openalex-snapshot
Dynamic energy-aware scheduling for parallel task-based application in cloud computing
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.004openalex-snapshot
A Pareto-based approach for CPU provisioning of scientific workflows on clouds
inferred← citeshttps://doi.org/10.1016/j.is.2019.03.003openalex-snapshot
Fairness in dataflow scheduling in the cloud
inferred← citeshttps://doi.org/10.1016/j.jnca.2016.01.018openalex-snapshot
Towards workflow scheduling in cloud computing: A comprehensive analysis
inferred← citeshttps://doi.org/10.1109/access.2020.2993069openalex-snapshot
Aggregation Measure Factor-Based Workflow Application Scheduling in Heterogeneous Environments
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8257946openalex-snapshot
Multi-objective optimization of scheduling dataflows on heterogeneous cloud resources
inferred← citeshttps://doi.org/10.1109/cloud.2014.137openalex-snapshot
A Context Based Scheduling Approach for Adaptive Business Process in the Cloud
inferred← citeshttps://doi.org/10.1109/cloud.2015.13openalex-snapshot
Cost-Efficient Scheduling of Elastic Processes in Hybrid Clouds
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A Provisioning Approach of Cloud Resources for Dynamic Workflows
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Resources allocation and scheduling approaches for business process applications in Cloud contexts
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Unrelated parallel machines with precedence constraints: application to cloud computing
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A cost-optimal service selection approach for collaborative workflow execution in clouds
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Workflow Scheduling in Cloud Computing: A Survey
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Survey on workflow scheduling of scientific processes using cloud technology
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Analysis of emerging workflow scheduling algorithms in cloud
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Optimizing Multi Objective Based Dynamic Workflow Using ACO and Black Hole Algorithm in Cloud Computing
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Design and implementation of enhanced MQS algorithm
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A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud
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Priced Timed Petri Nets Based Resource Allocation Strategy for Fog Computing
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Utility-based Scheduling Solution for Scientific Workflow on Cloud
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Artificial Gorilla Troop Optimization Based Load Balancing of Workflow Tasks in Cloud Environment
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Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets
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Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows
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A heuristic task dispatching algorithm in the clouds
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Bi-criteria strategies for business processes scheduling in cloud environments with fairness metrics
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Business Process Scheduling Strategies in Cloud Environments with Fairness Metrics
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Energy Efficient Partitioning and Scheduling Approach for Scientific Workflows in the Cloud
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Multi-Objective Service Composition with QoS Dependencies
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Stochastic Workflow Authorizations With Queueing Constraints
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Workflow Scheduling in Multi-Tenant Cloud Computing Environments
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Towards a Provisioning Algorithm for Dynamic Workflows in the Cloud
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