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A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint

https://doi.org/10.1109/cscloud.2016.16

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What this work says

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

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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

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A New Scheduling Algorithm in Hadoop MapReduce

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A cost-benefit analysis of using cloud computing to extend the capacity of clusters

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Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

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Biogeography-based optimization for optimal job scheduling in cloud computing

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Resource allocation on computational grids using a utility model and the knapsack problem

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Time and cost trade-off management for scheduling parallel applications on Utility Grids

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Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

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A distributed scheduling framework based on selfish autonomous agents for federated cloud environments

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A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud

inferredcites →https://doi.org/10.1109/dcabes.2012.63openalex-snapshot

Study on Resources Scheduling Based on ACO Allgorithm and PSO Algorithm in Cloud Computing

inferredcites →https://doi.org/10.1109/glocom.2011.6133765openalex-snapshot

Performance Analysis of Cloud Centers under Burst Arrivals and Total Rejection Policy

inferredcites →https://doi.org/10.1109/iccrd.2011.5764170openalex-snapshot

An approach for cloud resource scheduling based on Parallel Genetic Algorithm

inferredcites →https://doi.org/10.1109/icisa.2014.6847388openalex-snapshot

Distributed Scheduling Approach Based on Game Theory in the Federated Cloud

inferredcites →https://doi.org/10.1109/infcom.2013.6566988openalex-snapshot

Scheduling jobs with unknown duration in clouds

inferredcites →https://doi.org/10.1109/mis.2012.108openalex-snapshot

Does Game Theory Work?

inferredcites →https://doi.org/10.1109/mm.2014.7openalex-snapshot

Quality-of-Service-Aware Scheduling in Heterogeneous Data centers with Paragon

inferredcites →https://doi.org/10.1109/services.2013.35openalex-snapshot

A Game Theory of Cloud Service Deployment

inferredcites →https://doi.org/10.1109/syscon.2012.6189509openalex-snapshot

Cloud Computing—Task scheduling based on genetic algorithms

inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot

Reinforcement Learning: An Introduction

inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot

Reinforcement Learning: An Introduction

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Performance Analysis of Cloud Computing Centers Using M/G/m/m+r Queuing Systems

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A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments

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A Fine-Grained Performance Model of Cloud Computing Centers

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Modeling Demand Response Capability by Internet Data Centers Processing Batch Computing Jobs

inferredcites →https://doi.org/10.1145/2556583openalex-snapshot

QoS-Aware scheduling in heterogeneous datacenters with paragon

What points at this work

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

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Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling

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A Survey on Cloud Workflow Collaborative Adaptive Scheduling

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A collaboration of deadline and budget constraints for task scheduling in cloud computing

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A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm

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Multi resource proactive orchestration of real time containers under hardware contention

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A Two-Stage Framework for the Multi-User Multi-Data Center Job Scheduling and Resource Allocation

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Cloud Workflow Task and Virtualized Resource Collaborative Adaptive Scheduling Algorithm Based on Distributed Deep Learning

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FaCS: Toward a Fault-Tolerant Cloud Scheduler Leveraging Long Short-Term Memory Network

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Enhanced Modified HEFT Algorithm for Task Scheduling in Cloud Environment

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Soft-set based DDQ scheduler for Optimal Task Scheduling under Uncertainty in the Cloud

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SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization

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Adversarial Attacks in a Deep Reinforcement Learning based Cluster Scheduler

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A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Grid or IaaS Cloud

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A Dynamic and Failure-Aware Task Scheduling Framework for Hadoop

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A Review on Computational Intelligence Techniques in Cloud and Edge Computing

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Virtualized Resource Scheduling in Cloud Computing Environments: An Review

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Multiple-objective optimization resource scheduling algorithm for edge computing based on Deep Q-Network

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A Business Management Resource-Scheduling Method based on Deep Learning Algorithm

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An Enhanced Task Scheduling in Cloud Computing Based on Deadline-Aware Model

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Monitoring IaaS Cloud for Healthcare Systems

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An Enhanced Task Scheduling in Cloud Computing Based on Deadline-Aware Model

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