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DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_33openalex-snapshot
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
inferredcites →https://doi.org/10.1007/978-3-319-66332-6_17openalex-snapshot
Secure In-Cache Execution
inferredcites →https://doi.org/10.1016/j.ieri.2014.09.093openalex-snapshot
An Optimal Task Selection Scheme for Hadoop Scheduling
inferredcites →https://doi.org/10.1109/ccgrid.2014.35openalex-snapshot
Efficiently Handling Skew in Outer Joins on Distributed Systems
inferredcites →https://doi.org/10.1109/cloud.2014.106openalex-snapshot
FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters
inferredcites →https://doi.org/10.1109/cloud.2014.34openalex-snapshot
HaSTE: Hadoop YARN Scheduling Based on Task-Dependency and Resource-Demand
inferredcites →https://doi.org/10.1109/icccn.2017.8038421openalex-snapshot
EDOS: Edge Assisted Offloading System for Mobile Devices
inferredcites →https://doi.org/10.1109/pccc.2015.7410279openalex-snapshot
OMO: Optimize MapReduce overlap with a good start (reduce) and a good finish (map)
inferredcites →https://doi.org/10.1109/pccc.2016.7820648openalex-snapshot
eSplash: Efficient speculation in large scale heterogeneous computing systems
inferredcites →https://doi.org/10.1109/pccc.2017.8280474openalex-snapshot
DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster
inferredcites →https://doi.org/10.1109/pccc.2017.8280498openalex-snapshot
Cyber-physical system enabled nearby traffic flow modelling for autonomous vehicles
inferredcites →https://doi.org/10.1109/sec.2016.38openalex-snapshot
DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition
inferredcites →https://doi.org/10.1109/tcyb.2014.2373393openalex-snapshot
Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling
inferredcites →https://doi.org/10.1109/tip.2015.2507445openalex-snapshot
Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation
inferredcites →https://doi.org/10.1145/2619239.2626334openalex-snapshot
Multi-resource packing for cluster schedulers
inferredcites →https://doi.org/10.1145/2661829.2661888openalex-snapshot
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-81007-8_110openalex-snapshot
Dynamic and Resource-Aware Scheduling Scheme for Docker Cluster
inferred← citeshttps://doi.org/10.1080/01969722.2022.2157609openalex-snapshot
Hybrid Optimization Model for Secure Task Scheduling in Cloud: Combining Seagull and Black Widow Optimization
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006427openalex-snapshot
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster
inferred← citeshttps://doi.org/10.1109/cloud53861.2021.00060openalex-snapshot
HPKS: High Performance Kubernetes Scheduling for Dynamic Blockchain Workloads in Cloud Computing
inferred← citeshttps://doi.org/10.1109/hpec.2019.8916403openalex-snapshot
Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System
inferred← citeshttps://doi.org/10.1109/jsyst.2019.2960088openalex-snapshot
A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems
inferred← citeshttps://doi.org/10.13140/rg.2.2.25900.08327openalex-snapshot
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud
inferred← citeshttps://doi.org/10.20944/preprints202007.0461.v1openalex-snapshot
Efficient Communication for Mobile Devices in the New Era
inferred← citeshttps://doi.org/10.20944/preprints202011.0017.v1openalex-snapshot
Differentiate Containers Scheduling for Deep Learning Applications
inferred← citeshttps://doi.org/10.20944/preprints202011.0020.v1openalex-snapshot
Efficient Resource Management for Deep Learning Applications with Virtual Containers
inferred← citeshttps://doi.org/10.20944/preprints202105.0230.v1openalex-snapshot
A Resource-aware Container Management Scheme in a Heterogeneous Cluster
inferred← citeshttps://doi.org/10.36227/techrxiv.13146548.v1openalex-snapshot
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
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