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Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-16955-7_1openalex-snapshot
FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads
inferredcites →https://doi.org/10.1007/978-3-642-25821-3_10openalex-snapshot
Resource-Aware Adaptive Scheduling for MapReduce Clusters
inferredcites →https://doi.org/10.1057/jors.1971.52openalex-snapshot
Time Series Analysis Forecasting and Control
inferredcites →https://doi.org/10.1080/15458830.1996.11770714openalex-snapshot
Scheduling: Theory, Algorithms, and Systems
inferredcites →https://doi.org/10.1109/dsn.2012.6263956openalex-snapshot
NINEPIN: Non-invasive and energy efficient performance isolation in virtualized servers
inferredcites →https://doi.org/10.1109/icdcs.2013.31openalex-snapshot
HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Data Centers
inferredcites →https://doi.org/10.1109/icdcs.2014.18openalex-snapshot
WOHA: Deadline-Aware Map-Reduce Workflow Scheduling Framework over Hadoop Clusters
inferredcites →https://doi.org/10.1109/ipdps.2014.41openalex-snapshot
Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters
inferredcites →https://doi.org/10.1109/noms.2012.6212006openalex-snapshot
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle
inferredcites →https://doi.org/10.1109/sc.2014.83openalex-snapshot
FlexSlot: Moving Hadoop Into the Cloud with Flexible Slot Management
inferredcites →https://doi.org/10.1109/tfuzz.2006.882472openalex-snapshot
Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/tpds.2016.2587645openalex-snapshot
iShuffle: Improving Hadoop Performance with Shuffle-on-Write
inferredcites →https://doi.org/10.1145/2168836.2168842openalex-snapshot
Energy efficiency for large-scale MapReduce workloads with significant interactive analysis
inferredcites →https://doi.org/10.1145/2254756.2254779openalex-snapshot
Renewable and cooling aware workload management for sustainable data centers
inferredcites →https://doi.org/10.1145/2371536.2371562openalex-snapshot
Dynamic energy-aware capacity provisioning for cloud computing environments
inferredcites →https://doi.org/10.1145/2391229.2391236openalex-snapshot
Heterogeneity and dynamicity of clouds at scale
inferredcites →https://doi.org/10.1145/2663165.2666089openalex-snapshot
Improving MapReduce performance in heterogeneous environments with adaptive task tuning
inferredcites →https://doi.org/10.14778/1920841.1920862openalex-snapshot
Energy management for MapReduce clusters
inferredcites →https://doi.org/10.2307/3150485openalex-snapshot
Time Series Analysis: Forecasting and Control
inferredcites →https://doi.org/10.5555/2023718.2023720openalex-snapshot
FLEX: a slot allocation scheduling optimizer for MapReduce workloads
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An efficient deadline constrained and data locality aware dynamic scheduling framework for multitenancy clouds
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New efficient Hadoop scheduler: Generalized particle swarm optimization and simulated annealing ‐ dominant resource fairness
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BigDataSDNSim: A simulator for analyzing big data applications in software‐defined cloud data centers
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A Review of Scheduling Algorithms in Hadoop
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Multi-job Merging Framework and Scheduling Optimization for Apache Flink
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Toward Green Data Lake Management and Analysis Through a CTMC Model
inferred← citeshttps://doi.org/10.1007/978-3-319-59288-6_62openalex-snapshot
On Demand Resource Scheduler Based on Estimating Progress of Jobs in Hadoop
inferred← citeshttps://doi.org/10.1007/978-3-319-68210-5_4openalex-snapshot
Two-Stage Job Scheduling Model Based on Revenues and Resources
inferred← citeshttps://doi.org/10.1007/978-981-33-4305-4_1openalex-snapshot
A Heuristic Algorithm for Deadline-Based Resource Allocation in Cloud Using Modified Fish Swarm Algorithm
inferred← citeshttps://doi.org/10.1007/s10586-017-1466-3openalex-snapshot
Design and implementation of an analytical framework for interference aware job scheduling on Apache Spark platform
inferred← citeshttps://doi.org/10.1007/s11227-023-05310-3openalex-snapshot
Two phased Yarn scheduling with novel binary hypergraphed PSO
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Straggler identification approach in large data processing frameworks using ensembled gradient boosting in smart-cities cloud services
inferred← citeshttps://doi.org/10.1016/j.dcan.2017.07.008openalex-snapshot
Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs
inferred← citeshttps://doi.org/10.1016/j.future.2017.07.050openalex-snapshot
Energy-efficient mapping of large-scale workflows under deadline constraints in big data computing systems
inferred← citeshttps://doi.org/10.1016/j.hrmr.2021.100838openalex-snapshot
Algorithms as work designers: How algorithmic management influences the design of jobs
inferred← citeshttps://doi.org/10.1016/j.jss.2017.09.001openalex-snapshot
Task Scheduling in Big Data Platforms: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.101663openalex-snapshot
SLO-aware colocation: Harvesting transient resources from latency-critical services
inferred← citeshttps://doi.org/10.1089/big.2019.0039openalex-snapshot
STDADS: An Efficient Slow Task Detection Algorithm for Deadline Schedulers
inferred← citeshttps://doi.org/10.1089/big.2020.0081openalex-snapshot
MRS-DP: Improving Performance and Resource Utilization of Big Data Applications with Deadlines and Priorities
inferred← citeshttps://doi.org/10.1109/access.2024.3361748openalex-snapshot
Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social Networks
inferred← citeshttps://doi.org/10.1109/ccgrid.2018.00096openalex-snapshot
A Hard Real-time Scheduler for Spark on YARN
inferred← citeshttps://doi.org/10.1109/cloud.2016.0063openalex-snapshot
Modeling Interference for Apache Spark Jobs
inferred← citeshttps://doi.org/10.1109/escience.2017.18openalex-snapshot
Energy-Efficient Dynamic Scheduling of Deadline-Constrained MapReduce Workflows
inferred← citeshttps://doi.org/10.1109/icammaet.2017.8186682openalex-snapshot
Improve job ordering and slot configuration in Bigdata
inferred← citeshttps://doi.org/10.1109/icc.2018.8422557openalex-snapshot
Shed: Optimal Dynamic Cloning to Meet Application Deadlines in Cloud
inferred← citeshttps://doi.org/10.1109/icccbda.2017.7951906openalex-snapshot
Hadoop MapReduce scheduling paradigms
inferred← citeshttps://doi.org/10.1109/icccn.2017.8038373openalex-snapshot
LASER: A Deep Learning Approach for Speculative Execution and Replication of Deadline-Critical Jobs in Cloud
inferred← citeshttps://doi.org/10.1109/icdcs.2018.00075openalex-snapshot
Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-Critical MapReduce Jobs
inferred← citeshttps://doi.org/10.1109/icecds.2017.8390131openalex-snapshot
A constraint programming-based resource allocation and scheduling of map reduce jobs with service level agreement
inferred← citeshttps://doi.org/10.1109/infocom.2017.8057206openalex-snapshot
Adaptive scheduling of parallel jobs in spark streaming
inferred← citeshttps://doi.org/10.1109/tc.2017.2669964openalex-snapshot
Cross-Platform Resource Scheduling for Spark and MapReduce on YARN
inferred← citeshttps://doi.org/10.1109/tc.2021.3075625openalex-snapshot
SLA-Based Scheduling of Spark Jobs in Hybrid Cloud Computing Environments
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Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization
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Dynamic Resource Provisioning for Iterative Workloads on Apache Spark
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Shed+: Optimal Dynamic Speculation to Meet Application Deadlines in Cloud
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Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning
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Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters
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Deadline-Aware MapReduce Job Scheduling with Dynamic Resource Availability
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Energy Utilization Task Scheduling for MapReduce in Heterogeneous Clusters
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Dynamic deadline-constraint scheduler for Hadoop YARN
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Auto-Resource Provisioning for MapReduce-Based Multiple Object Tracking in Video
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Cooperative Job Scheduling and Data Allocation for Busy Data-Intensive Parallel Computing Clusters
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Kairos: Time-Sensitive Scheduling for Ad-Oriented ML Workloads with Heterogeneous Time-Utility Functions
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A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
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Performance evaluation and resource optimization of cloud based parallel Hadoop clusters with an intelligent scheduler.
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THE AMBIENT SCRUTINIZE OF SCHEDULING ALGORITHMS IN BIG DATA TERRITORY.
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A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud
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Dynamic Task Scheduling Algorithm with Deadline Constraint in Heterogeneous Volunteer Computing Platforms
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Distributed Resource Management in Operating Systems: A Case Study on HDFS and YARN
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Survey on Various MapReduce Scheduling Algorithms
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