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An EDA-GA Hybrid Algorithm for Multi-Objective Task Scheduling in Cloud Computing

https://doi.org/10.1109/access.2019.2946216
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Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1109/hcw.2000.843759openalex-snapshot
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Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
inferredcites →https://doi.org/10.1109/tpds.2013.107openalex-snapshot
Improving the Performance of IndependentTask Assignment Heuristics MinMin,MaxMin and Sufferage
inferredcites →https://doi.org/10.1109/tsusc.2018.2838338openalex-snapshot
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inferredcites →https://doi.org/10.1142/s0218194016400040openalex-snapshot
QoS Prediction for Web Service Recommendation with Network Location-Aware Neighbor Selection
inferredcites →https://doi.org/10.1142/s0218194017500334openalex-snapshot
Probabilistic Model Checking-Based Service Selection Method for Business Process Modeling
inferredcites →https://doi.org/10.1142/s0218194018500390openalex-snapshot
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inferredcites →https://doi.org/10.1155/2006/271608openalex-snapshot
Scheduling Scientific Workflow Applications with Deadline and Budget Constraints Using Genetic Algorithms
inferredcites →https://doi.org/10.1155/2017/7356213openalex-snapshot
Collaborative QoS Prediction for Mobile Service with Data Filtering and SlopeOne Model
inferredcites →https://doi.org/10.2307/1269713openalex-snapshot
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inferredcites →https://doi.org/10.23919/chicc.2018.8483505openalex-snapshot
Multi-objective Task Scheduling Optimization in Cloud Computing based on Genetic Algorithm and Differential Evolution Algorithm
inferredcites →https://doi.org/10.3390/e19070358openalex-snapshot
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inferredcites →https://doi.org/10.3390/s17092059openalex-snapshot
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inferredcites →https://doi.org/10.3844/jcssp.2007.94.103openalex-snapshot
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What points at this work

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

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Dynamic Task Scheduling based on Burst Time Requirement for Cloud Environment
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A Novel Heterogenous Dominant Sequence Clustering for Task Scheduling and Optimal Load Balancing Using JSO in Cloud
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Cloud Environment Task Scheduling Optimization of Modified Genetic Algorithm
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