On the public citation graph
Workload scheduling in distributed stream processors using graph partitioning
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-07443-6_2openalex-snapshot
The CLOCK Data-Aware Eviction Approach: Towards Processing Linked Data Streams with Limited Resources
inferredcites →https://doi.org/10.1007/978-3-540-89856-6_16openalex-snapshot
SODA: An Optimizing Scheduler for Large-Scale Stream-Based Distributed Computer Systems
inferredcites →https://doi.org/10.1007/978-3-642-10445-9_16openalex-snapshot
COLA: Optimizing Stream Processing Applications via Graph Partitioning
inferredcites →https://doi.org/10.1109/icde.2005.53openalex-snapshot
Dynamic Load Distribution in the Borealis Stream Processor
inferredcites →https://doi.org/10.1109/icde.2006.105openalex-snapshot
Network-Aware Operator Placement for Stream-Processing Systems
inferredcites →https://doi.org/10.1109/icde.2011.5767851openalex-snapshot
SQPR: Stream query planning with reuse
inferredcites →https://doi.org/10.1109/tpds.2012.24openalex-snapshot
StreamCloud: An Elastic and Scalable Data Streaming System
inferredcites →https://doi.org/10.1137/s1064827595287997openalex-snapshot
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
inferredcites →https://doi.org/10.1145/1402946.1402967openalex-snapshot
A scalable, commodity data center network architecture
inferredcites →https://doi.org/10.1145/1402958.1402967openalex-snapshot
A scalable, commodity data center network architecture
inferredcites →https://doi.org/10.1145/2370816.2370826openalex-snapshot
Auto-parallelizing stateful distributed streaming applications
inferredcites →https://doi.org/10.1145/2488222.2488267openalex-snapshot
Adaptive online scheduling in storm
inferredcites →https://doi.org/10.1145/2611286.2611294openalex-snapshot
Latency-aware elastic scaling for distributed data stream processing systems
inferredcites →https://doi.org/10.48550/arxiv.1207.0780openalex-snapshot
Survey on Improved Scheduling in Hadoop MapReduce in Cloud Environments
inferredcites →https://doi.org/10.5167/uzh-82049openalex-snapshot
Scalable linked data stream processing via network-aware workload scheduling
inferredcites →https://doi.org/10.5555/1182635.1164194openalex-snapshot
Providing resiliency to load variations in distributed stream processing
inferredcites →https://doi.org/10.5555/563998.564019openalex-snapshot
Graph-partitioning based instruction scheduling for clustered processors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4104271openalex-extracted
Gt-Scheduler: A Hybrid Graph-Partitioning and Tabu-Search Based Scheduling of Distributed Data Stream Processing Operators
inferred← citeshttps://doi.org/10.1007/978-3-031-22677-9_32openalex-snapshot
Operator Placement for IoT Data Streaming Applications in Edge Computing Environment
inferred← citeshttps://doi.org/10.1007/s00607-019-00767-8openalex-snapshot
A probabilistic model for assigning queries at the edge
inferred← citeshttps://doi.org/10.1007/s10586-023-04260-yopenalex-snapshot
GT-scheduler: a hybrid graph-partitioning and tabu-search based task scheduler for distributed data stream processing systems
inferred← citeshttps://doi.org/10.1007/s11227-023-05473-zopenalex-snapshot
A two-tier coordinated load balancing strategy over skewed data streams
inferred← citeshttps://doi.org/10.1016/j.future.2018.07.011openalex-snapshot
T3-Scheduler: A topology and Traffic aware two-level Scheduler for stream processing systems in a heterogeneous cluster
inferred← citeshttps://doi.org/10.1016/j.future.2020.05.036openalex-snapshot
Cost effective stream workflow scheduling to handle application structural changes
inferred← citeshttps://doi.org/10.1016/j.future.2020.11.011openalex-snapshot
I-Scheduler: Iterative scheduling for distributed stream processing systems
inferred← citeshttps://doi.org/10.1016/j.future.2022.06.007openalex-snapshot
An energy efficient and runtime-aware framework for distributed stream computing systems
inferred← citeshttps://doi.org/10.1016/j.ins.2020.05.042openalex-snapshot
LPG-model: A novel model for throughput prediction in stream processing, using a light gradient boosting machine, incremental principal component analysis, and deep gated recurrent unit network
inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101727openalex-snapshot
L-Heron: An open-source load-aware online scheduler for Apache Heron
inferred← citeshttps://doi.org/10.1109/access.2018.2890005openalex-snapshot
A Self-Organized Task Distribution Framework for Module-Based Event Stream Processing
inferred← citeshttps://doi.org/10.1109/access.2020.2976738openalex-snapshot
Maximum Sustainable Throughput Evaluation Using an Adaptive Method for Stream Processing Platforms
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.105openalex-snapshot
Maximum Sustainable throughput Prediction for Data Stream Processing over Public Clouds
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss.2016.0093openalex-snapshot
S-Storm: A Slot-Aware Scheduling Strategy for Even Scheduler in Storm
inferred← citeshttps://doi.org/10.1109/icdcs.2018.00109openalex-snapshot
Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds
inferred← citeshttps://doi.org/10.1109/icpads.2017.00070openalex-snapshot
D-Storm: Dynamic Resource-Efficient Scheduling of Stream Processing Applications
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571229openalex-snapshot
Sluice: End-to-End Latency Guarantee for Long-running Dataflow Systems
inferred← citeshttps://doi.org/10.1109/iotsms62296.2024.10710257openalex-snapshot
Task Scheduling in Multi-Cloud Environments: A Graph Partitioning Approach Enhanced by Nested Genetic Algorithms
inferred← citeshttps://doi.org/10.1109/jiot.2024.3514753openalex-snapshot
An Intelligent Task and Data Deployment Method for SIoT Systems
inferred← citeshttps://doi.org/10.1109/phm61473.2024.00012openalex-snapshot
Storm-Based Scheduling Method for Streaming Computing Engine
inferred← citeshttps://doi.org/10.1109/tbdata.2017.2720622openalex-snapshot
Performance-Oriented Deployment of Streaming Applications on Cloud
inferred← citeshttps://doi.org/10.1109/tsc.2018.2843366openalex-snapshot
Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes
inferred← citeshttps://doi.org/10.1145/2988336.2988340openalex-snapshot
Locality-Aware Routing in Stateful Streaming Applications
inferred← citeshttps://doi.org/10.1145/3132618openalex-snapshot
A Stepwise Auto-Profiling Method for Performance Optimization of Streaming Applications
inferred← citeshttps://doi.org/10.1145/3148055.3148066openalex-snapshot
Priority Based Resource Scheduling Techniques for a Resource Constrained Stream Processing System
inferred← citeshttps://doi.org/10.1145/3303849openalex-snapshot
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing
inferred← citeshttps://doi.org/10.1145/3340531.3412116openalex-snapshot
Rethinking Operators Placement of Stream Data Application in the Edge
inferred← citeshttps://doi.org/10.1145/3355399openalex-snapshot
Resource Management and Scheduling in Distributed Stream Processing Systems
inferred← citeshttps://doi.org/10.1145/3437378.3444365openalex-snapshot
A Traffic and Resource Aware Online Storm Scheduler
inferred← citeshttps://doi.org/10.1371/journal.pone.0344516openalex-snapshot
Efficient service mesh traffic management for cloud-native applications
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130175openalex-snapshot
Balanced Schedule on Storm for Performance Enhancement
inferred← citeshttps://doi.org/10.22215/etd/2017-11784openalex-snapshot
Priority-Based Scheduling Techniques for a Multitenant Stream Processing Platform
inferred← citeshttps://doi.org/10.26483/ijarcs.v8i8.4773openalex-snapshot
OPTIMIZED FEATURE SELECTION BASED PREDICTIVE ROUND ROBIN SCHEDULING (OFS-PRRS)
inferred← citeshttps://doi.org/10.48550/arxiv.1901.09716openalex-snapshot
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing
inferred← citeshttps://doi.org/10.7717/peerj-cs.1077openalex-snapshot
MF-Storm: a maximum flow-based job scheduler for stream processing engines on computational clusters to increase throughput
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