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Efficient coflow scheduling with Varys
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10951-006-7042-yopenalex-snapshot
A note on the complexity of the concurrent open shop problem
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Minimizing the sum of weighted completion times in a concurrent open shop
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Achieving 100% throughput in an input-queued switch
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Critical-path planning and scheduling
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Managing data transfers in computer clusters with orchestra
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Towards predictable datacenter networks
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Finishing flows quickly with preemptive scheduling
inferredcites →https://doi.org/10.1145/2486001.2486021openalex-snapshot
Leveraging endpoint flexibility in data-intensive clusters
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Optimizing the "one big switch" abstraction in software-defined networks
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Decentralized task-aware scheduling for data center networks
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A Bridging Model for Parallel Computation
inferredcites →https://doi.org/10.1184/r1/6603203openalex-snapshot
An Architecture for Internet Data Transfer
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Critical-Path Planning and Scheduling: Mathematical Basis
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.5555/1267638.1267639openalex-snapshot
Lottery scheduling: flexible proportional-share resource management
inferredcites →https://doi.org/10.5555/1855711.1855730openalex-snapshot
Hedera: dynamic flow scheduling for data center networks
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/10.5555/1972457.1972489openalex-snapshot
Sharing the data center network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimizing coflow completion times with utility max-min fairness
inferred← citeshttps://doi.org/10.1109/infocom.2016.7524532openalex-snapshot
OPTAS: Decentralized flow monitoring and scheduling for tiny tasks
inferred← citeshttps://doi.org/10.1109/infocom.2017.8056946openalex-snapshot
One more queue is enough: Minimizing flow completion time with explicit priority notification
inferred← citeshttps://doi.org/10.1109/infocom.2017.8057171openalex-snapshot
Coflow scheduling in input-queued switches: Optimal delay scaling and algorithms
inferred← citeshttps://doi.org/10.1109/infocom.2017.8057172openalex-snapshot
Coflex: Navigating the fairness-efficiency tradeoff for coflow scheduling
inferred← citeshttps://doi.org/10.1109/infocom.2018.8485970openalex-snapshot
Utopia: Near-optimal Coflow Scheduling with Isolation Guarantee
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486319openalex-snapshot
Leveraging Endpoint Flexibility when Scheduling Coflows across Geo-distributed Datacenters
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486323openalex-snapshot
Online Partial Throughput Maximization for Multidimensional Coflow
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486340openalex-snapshot
Scheduling Coflows of Multi-stage Jobs to Minimize the Total Weighted Job Completion Time
inferred← citeshttps://doi.org/10.1109/infocom.2019.8737415openalex-snapshot
When Network Matters: Data Center Scheduling with Network Tasks
inferred← citeshttps://doi.org/10.1109/infocom41043.2020.9155511openalex-snapshot
Efficient Coflow Transmission for Distributed Stream Processing
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796688openalex-snapshot
Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796752openalex-snapshot
AutoByte: Automatic Configuration for Optimal Communication Scheduling in DNN Training
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796955openalex-snapshot
MC-Sketch: Enabling Heterogeneous Network Monitoring Resolutions with Multi-Class Sketch
inferred← citeshttps://doi.org/10.1109/infocomwkshps50562.2020.9162722openalex-snapshot
DeepAalo: Auto-adjusting Demotion Thresholds for Information-agnostic Coflow Scheduling
inferred← citeshttps://doi.org/10.1109/infocomwkshps50562.2020.9163039openalex-snapshot
Bottleneck-Aware Coflow Scheduling Without Prior Knowledge
inferred← citeshttps://doi.org/10.1109/infocomwkshps51825.2021.9484599openalex-snapshot
Learning Coflow Admissions
inferred← citeshttps://doi.org/10.1109/insai54028.2021.00041openalex-snapshot
TIAS: Two-level Information-Agnostic Job Scheduling in GPU Clusters
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00060openalex-snapshot
Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks
inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00113openalex-snapshot
Weaver: Efficient Coflow Scheduling in Heterogeneous Parallel Networks
inferred← citeshttps://doi.org/10.1109/ipdpsw.2019.00082openalex-snapshot
Green, Yellow, Yield: End-Host Traffic Scheduling for Distributed Deep Learning with TensorLights
inferred← citeshttps://doi.org/10.1109/iscc.2017.8024678openalex-snapshot
EAalo: Enhanced coflow scheduling without prior knowledge in a datacenter network
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10217994openalex-snapshot
Effective Coflow Scheduling in Hybrid Circuit and Packet Switching Networks
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CODE: Incorporating Correlation and Dependency for Task Scheduling in Data Center
inferred← citeshttps://doi.org/10.1109/iwqos.2016.7590440openalex-snapshot
Data Rate Guarantee for Coflow scheduling in network function virtualization
inferred← citeshttps://doi.org/10.1109/iwqos.2018.8624122openalex-snapshot
Shaping Deadline Coflows to Accelerate Non-Deadline Coflows
inferred← citeshttps://doi.org/10.1109/iwqos.2018.8624126openalex-snapshot
Scheduling Coflows with Incomplete Information
inferred← citeshttps://doi.org/10.1109/iwqos52092.2021.9521331openalex-snapshot
Glint: Decentralized Federated Graph Learning with Traffic Throttling and Flow Scheduling
inferred← citeshttps://doi.org/10.1109/iwqos61813.2024.10682910openalex-snapshot
TaLB: Tensor-aware Load Balancing for Distributed DNN Training Acceleration
inferred← citeshttps://doi.org/10.1109/iwqos70441.2026.11661032openalex-snapshot
SpecNet-Agent: Network-Aware Speculation Control for QoS in Agentic Generative AI Services
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Efficient Multisource Data Delivery in Edge Cloud With Rateless Parallel Push
inferred← citeshttps://doi.org/10.1109/jiot.2020.3004165openalex-snapshot
Deep-Dual-Learning-Based Cotask Processing in Multiaccess Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/jiot.2020.3034891openalex-snapshot
Boosting Edge Intelligence With Collaborative Cross-Edge Analytics
inferred← citeshttps://doi.org/10.1109/jiot.2021.3052007openalex-snapshot
Information Cofreshness-Aware Grant Assignment and Transmission Scheduling for Internet of Things
inferred← citeshttps://doi.org/10.1109/jsac.2018.2871296openalex-snapshot
BigMaC: Reactive Network-Wide Policy Caching for SDN Policy Enforcement
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On SDN-Enabled Online and Dynamic Bandwidth Allocation for Stream Analytics
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Improving TCP performance in data center networks with Adaptive Complementary Coding
inferred← citeshttps://doi.org/10.1109/lcn.2015.7366346openalex-snapshot
A partial-decentralized coflow scheduling scheme in data center networks
inferred← citeshttps://doi.org/10.1109/lcn.2018.8638222openalex-snapshot
CLF: An Online Coflow-Aware Packet Scheduling Algorithm
inferred← citeshttps://doi.org/10.1109/mcom.2017.1700267openalex-snapshot
A Survey of Coflow Scheduling Schemes for Data Center Networks
inferred← citeshttps://doi.org/10.1109/monetec60984.2024.10768125openalex-snapshot
How Useful is Communication Scheduling for Distributed Training?
inferred← citeshttps://doi.org/10.1109/nca61908.2024.00039openalex-snapshot
Multi-Coflow Scheduling in Not-All-Stop Optical Circuit Switches for Data Center Networks
inferred← citeshttps://doi.org/10.1109/netsoft.2015.7116169openalex-snapshot
Extending Hadoop's Yarn Scheduler Load Simulator with a highly realistic network & traffic model
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A generic framework to support application-level flow management in software-defined networks
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Providing In-network Support to Coflow Scheduling
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REMO: Resource efficient distributed network monitoring
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Cachalot: A network-aware, cooperative cache network for geo-distributed, data-intensive applications
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Topology-aware task placement in small-world optical data center network
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OpenFlow-based control mechanism for Coflow-aware multi-connections in DCN
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Joint source selection and transfer optimization for erasure coding storage system
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Coflow scheduling with unknown prior knowledge based on traffic characteristics
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