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MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce 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/10.1007/978-3-642-10665-1_47openalex-snapshot
Evaluating MapReduce on Virtual Machines: The Hadoop Case
inferredcites →https://doi.org/10.1007/978-3-642-16505-4_7openalex-snapshot
Dynamic Proportional Share Scheduling in Hadoop
inferredcites →https://doi.org/10.1007/978-3-642-25821-3_10openalex-snapshot
Resource-Aware Adaptive Scheduling for MapReduce Clusters
inferredcites →https://doi.org/10.1109/noms.2010.5488494openalex-snapshot
Performance-driven task co-scheduling for MapReduce environments
inferredcites →https://doi.org/10.1145/1064979.1064984openalex-snapshot
Diagnosing performance overheads in the xen virtual machine environment
inferredcites →https://doi.org/10.1145/1188455.1188464openalex-snapshot
TORQUE---TORQUE resource manager
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/1924943.1924962openalex-snapshot
Reining in the outliers in map-reduce clusters using Mantri
inferredcites →https://doi.org/10.5555/1972457.1972488openalex-snapshot
Mesos: a platform for fine-grained resource sharing in the data center
inferredcites →https://doi.org/10.5555/1972457.1972490openalex-snapshot
Dominant resource fairness: fair allocation of multiple resource types
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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KeyValueServe†: Design and performance analysis of a multi‐tenant data grid as a cloud service
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Resource Scheduling and Data Locality for Virtualized Hadoop on IaaS Cloud Platform
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_43-1openalex-snapshot
Orchestration Tools for Big Data
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_43openalex-snapshot
Orchestration Tools for Big Data
inferred← citeshttps://doi.org/10.1007/978-981-10-6620-7_27openalex-snapshot
A Study of Factors Affecting MapReduce Scheduling
inferred← citeshttps://doi.org/10.1007/s10922-015-9362-8openalex-snapshot
OPTIMA: On-Line Partitioning Skew Mitigation for MapReduce with Resource Adjustment
inferred← citeshttps://doi.org/10.1016/j.future.2015.04.008openalex-snapshot
A simulation framework for priority scheduling on heterogeneous clusters
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A holistic cross-layer optimization approach for mitigating stragglers in in-memory data processing
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iSDF: An integrated software-defined computing framework for scientific experiments
inferred← citeshttps://doi.org/10.1109/cloud.2013.140openalex-snapshot
Using a Tunable Knob for Reducing Makespan of MapReduce Jobs in a Hadoop Cluster
inferred← citeshttps://doi.org/10.1109/cloud.2014.106openalex-snapshot
FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss.2016.0124openalex-snapshot
Learning-Based Characterizing and Modeling Performance Bottlenecks of Big Data Workloads
inferred← citeshttps://doi.org/10.1109/icc.2017.7996541openalex-snapshot
Traffic-aware task placement with guaranteed job completion time for geo-distributed big data
inferred← citeshttps://doi.org/10.1109/iccsnt.2015.7490810openalex-snapshot
Multiple resources scheduling for diverse workloads in heterogeneous datacenter
inferred← citeshttps://doi.org/10.1109/icdcs.2013.31openalex-snapshot
HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Data Centers
inferred← citeshttps://doi.org/10.1109/icis.2014.6912150openalex-snapshot
A virtual machine based task scheduling approach to improving data locality for virtualized Hadoop
inferred← citeshttps://doi.org/10.1109/inm.2015.7140272openalex-snapshot
DREAMS: Dynamic resource allocation for MapReduce with data skew
inferred← citeshttps://doi.org/10.1109/inm.2015.7140330openalex-snapshot
Optimizing capacity allocation for big data applications in cloud datacenters
inferred← citeshttps://doi.org/10.1109/ipdps.2014.20openalex-snapshot
Pythia: Faster Big Data in Motion through Predictive Software-Defined Network Optimization at Runtime
inferred← citeshttps://doi.org/10.1109/jsyst.2015.2455875openalex-snapshot
Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time
inferred← citeshttps://doi.org/10.1109/netact.2017.8076777openalex-snapshot
Intra-Tenant resource sharing in yarn based on weighted arithmetic mean
inferred← citeshttps://doi.org/10.1109/noms.2018.8406134openalex-snapshot
Application performance optimization using application-aware networking
inferred← citeshttps://doi.org/10.1109/tc.2016.2532860openalex-snapshot
Dynamic Resource Allocation for MapReduce with Partitioning Skew
inferred← citeshttps://doi.org/10.1109/tcc.2015.2415802openalex-snapshot
Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters
inferred← citeshttps://doi.org/10.1109/tcc.2015.2474385openalex-snapshot
Cross-Cloud MapReduce for Big Data
inferred← citeshttps://doi.org/10.1109/tnsm.2017.2728519openalex-snapshot
Application-Aware Network Design for Hadoop MapReduce Optimization Using Software-Defined Networking
inferred← citeshttps://doi.org/10.1109/tnsm.2017.2743066openalex-snapshot
A Survey of the State-of-the-Art in Fair Multi-Resource Allocations for Data Centers
inferred← citeshttps://doi.org/10.1109/tpds.2016.2626285openalex-snapshot
Traffic-Aware Geo-Distributed Big Data Analytics with Predictable Job Completion Time
inferred← citeshttps://doi.org/10.1145/2486767.2486776openalex-snapshot
A case for dynamic memory partitioning in data centers
inferred← citeshttps://doi.org/10.1145/2523616.2523637openalex-snapshot
Hierarchical scheduling for diverse datacenter workloads
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Improving Data-Analytics Performance Via Autonomic Control of Concurrency and Resource Units
inferred← citeshttps://doi.org/10.1186/s13677-023-00520-9openalex-snapshot
MapReduce scheduling algorithms in Hadoop: a systematic study
inferred← citeshttps://doi.org/10.1587/transinf.2015edl8253openalex-snapshot
Dominant Fairness Fairness: Hierarchical Scheduling for Multiple Resources in Heterogeneous Datacenters
inferred← citeshttps://doi.org/10.20868/upm.thesis.39178openalex-snapshot
Optimizing the reliability and resource efficiency of MapReduce-based systems
inferred← citeshttps://doi.org/10.23919/tst.2017.7889637openalex-snapshot
Load feedback-based resource scheduling and dynamic migration-based data locality for virtual hadoop clusters in openstack-based clouds
inferred← citeshttps://doi.org/10.2991/wartia-16.2016.361openalex-snapshot
Resource Estimation in Distributed Data Stream Processing Systems
inferred← citeshttps://doi.org/10.3233/idt-190363openalex-snapshot
A systematic literature review on MapReduce scheduling methods
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