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https://doi.org/10.1145/2723372.2742788
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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/s00778-004-0133-5openalex-snapshot
Retrospective on Aurora
inferredcites →https://doi.org/10.1109/icde.2011.5767878openalex-snapshot
The extensibility framework in Microsoft StreamInsight
inferredcites →https://doi.org/10.1109/icdmw.2010.172openalex-snapshot
S4: Distributed Stream Computing Platform
inferredcites →https://doi.org/10.1145/2320765.2320789openalex-snapshot
Stormy
inferredcites →https://doi.org/10.1145/2463676.2465272openalex-snapshot
Photon
inferredcites →https://doi.org/10.1145/2588555.2595641openalex-snapshot
Storm@twitter
inferredcites →https://doi.org/10.1145/564691.564794openalex-snapshot
Querying and mining data streams
inferredcites →https://doi.org/10.14778/2536222.2536229openalex-snapshot
MillWheel
inferredcites →https://doi.org/10.14778/2733004.2733016openalex-snapshot
Summingbird
inferredcites →https://doi.org/10.5555/1972457.1972488openalex-snapshot
Mesos: a platform for fine-grained resource sharing in the data center

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/10.2139/ssrn.4379579openalex-extracted
Benchmarking Scalability of Stream Processing Frameworks Deployed as Event-Driven Microservices in the Cloud
inferred← citeshttps://doi.org/10.5281/zenodo.2600461openalex-extracted
inferred← citeshttps://doi.org/10.1002/9781119376996.ch8openalex-snapshot
Data Storage and Management for Big Multimedia
inferred← citeshttps://doi.org/10.1002/9781119428497.ch6openalex-snapshot
Resource Management: Performance Assuredness in Distributed Cloud Computing via Online Reconfigurations
inferred← citeshttps://doi.org/10.1002/9781119545293.ch5openalex-snapshot
Streaming Data Processing for IoT
inferred← citeshttps://doi.org/10.1002/9781119690962.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/cpe.4334openalex-snapshot
Optimal operator deployment and replication for elastic distributed data stream processing
inferred← citeshttps://doi.org/10.1002/cpe.5189openalex-snapshot
Twister2: Design of a big data toolkit
inferred← citeshttps://doi.org/10.1002/cpe.5256openalex-snapshot
Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure
inferred← citeshttps://doi.org/10.1002/cpe.5998openalex-snapshot
High‐performance iterative dataflow abstractions in Twister2:TSet
inferred← citeshttps://doi.org/10.1002/cpe.6292openalex-snapshot
Stochastic gradient descent‐based support vector machines training optimization on Big Data and HPC frameworks
inferred← citeshttps://doi.org/10.1002/cpe.6502openalex-snapshot
Twister2 Cross‐platform resource scheduler for big data
inferred← citeshttps://doi.org/10.1002/cpe.6799openalex-snapshot
Energy efficient resource controller for Apache Storm
inferred← citeshttps://doi.org/10.1007/978-3-030-00063-9_38openalex-snapshot
Consistency Maintenance in Distributed Analytical Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-030-04780-1_1openalex-snapshot
Fault Tolerant Data Stream Processing in Cooperation with OLTP Engine
inferred← citeshttps://doi.org/10.1007/978-3-030-05051-1_1openalex-snapshot
Network-Aware Grouping in Distributed Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-10555-6_5openalex-snapshot
General-Purpose Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-030-22479-0_14openalex-snapshot
Shoal: Query Optimization and Operator Placement for Access Controlled Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-24124-7_10openalex-snapshot
Ubiq: A Scalable and Fault-Tolerant Log Processing Infrastructure
inferred← citeshttps://doi.org/10.1007/978-3-030-28730-6_17openalex-snapshot
Adaptive Partitioning and Order-Preserved Merging of Data Streams
inferred← citeshttps://doi.org/10.1007/978-3-030-33624-0_3openalex-snapshot
Requirements Engineering for Large-Scale Big Data Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_2openalex-snapshot
General-Purpose Big Data Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_3openalex-snapshot
Large-Scale Processing Systems of Structured Data
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_4openalex-snapshot
Large-Scale Graph Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_5openalex-snapshot
Large-Scale Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_6openalex-snapshot
Large-Scale Machine/Deep Learning Frameworks
inferred← citeshttps://doi.org/10.1007/978-3-030-44187-6_7openalex-snapshot
Conclusions and Outlook
inferred← citeshttps://doi.org/10.1007/978-3-030-44914-8_15openalex-snapshot
Semantic Foundations for Deterministic Dataflow and Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-030-48340-1_4openalex-snapshot
A Fully Decentralized Autoscaling Algorithm for Stream Processing Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-49432-2_5openalex-snapshot
A Feasibility Study of an Agile and Data-Centric Method for Prototyping Services Based on Open Transport Data
inferred← citeshttps://doi.org/10.1007/978-3-030-60094-5_1openalex-snapshot
Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-030-60094-5_2openalex-snapshot
Heron Basics
inferred← citeshttps://doi.org/10.1007/978-3-030-78618-2_52openalex-snapshot
Research on Software Defined Programmable Strategy of Fireworks Model Oriented to Edge Computing Nodes
inferred← citeshttps://doi.org/10.1007/978-3-030-79382-1_23openalex-snapshot
Lambda+, the Renewal of the Lambda Architecture: Category Theory to the Rescue
inferred← citeshttps://doi.org/10.1007/978-3-030-85665-6_17openalex-snapshot
Colony: Parallel Functions as a Service on the Cloud-Edge Continuum
inferred← citeshttps://doi.org/10.1007/978-3-030-90539-2_30openalex-snapshot
Differentiated Performance in NoSQL Database Access for Hybrid Cloud-HPC Workloads
inferred← citeshttps://doi.org/10.1007/978-3-030-95391-1_9openalex-snapshot
AutoFlow: Hotspot-Aware, Dynamic Load Balancing for Distributed Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-031-01867-1openalex-snapshot
Scalable Processing of Spatial-Keyword Queries
inferred← citeshttps://doi.org/10.1007/978-3-031-23098-1_3openalex-snapshot
Towards Low-Latency Big Data Infrastructure at Sangfor
inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_31openalex-snapshot
An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-62146-8_2openalex-snapshot
Programming Approaches for Large-Scale IoT System Development: State of the Art
inferred← citeshttps://doi.org/10.1007/978-3-031-93858-0_1openalex-snapshot
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-031-93858-0_2openalex-snapshot
A Survey of Stream Processing System Benchmarks
inferred← citeshttps://doi.org/10.1007/978-3-319-38776-5_2openalex-snapshot
General-Purpose Big Data Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-38776-5_3openalex-snapshot
Large-Scale Processing Systems of Structured Data
inferred← citeshttps://doi.org/10.1007/978-3-319-38776-5_4openalex-snapshot
Large-Scale Graph Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-38776-5_5openalex-snapshot
Large-Scale Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-39083-3_4openalex-snapshot
Real-Time Stream Processing in Java
inferred← citeshttps://doi.org/10.1007/978-3-319-49340-4_7openalex-snapshot
Large-Scale Data Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_193-1openalex-snapshot
Types of Stream Processing Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_193-2openalex-snapshot
Types of Stream Processing Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_193-3openalex-snapshot
Types of Stream Processing Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_316-1openalex-snapshot
Apache Apex
inferred← citeshttps://doi.org/10.1007/978-3-319-72401-0_3openalex-snapshot
Senska – Towards an Enterprise Streaming Benchmark
inferred← citeshttps://doi.org/10.1007/978-3-319-74875-7_10openalex-snapshot
Automatic Scaling of Resources in a Storm Topology
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_193openalex-snapshot
Types of Stream Processing Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_316openalex-snapshot
Apache Apex
inferred← citeshttps://doi.org/10.1007/978-3-319-91662-0_32openalex-snapshot
Distributed Stream Consistency Checking
inferred← citeshttps://doi.org/10.1007/978-3-319-93767-0_4openalex-snapshot
Strome: Energy-Aware Data-Stream Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-95246-8_3openalex-snapshot
Interfaces for Stream Processing Systems
inferred← citeshttps://doi.org/10.1007/978-3-662-49498-1_2openalex-snapshot
Regular Programming for Quantitative Properties of Data Streams
inferred← citeshttps://doi.org/10.1007/978-981-16-1160-5_10openalex-snapshot
A Performance Benchmark for Stream Data Storage Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-0579-8_18openalex-snapshot
REXIO: Indexing for Low Write Amplification by Reducing Extra I/Os in Key-Value Store Under Mixed Read/Write Workloads
inferred← citeshttps://doi.org/10.1007/978-981-97-2644-8_14openalex-snapshot
Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions
inferred← citeshttps://doi.org/10.1007/s00778-018-0514-9openalex-snapshot
A survey of state management in big data processing systems
inferred← citeshttps://doi.org/10.1007/s00778-019-00565-wopenalex-snapshot
On the performance and convergence of distributed stream processing via approximate fault tolerance
inferred← citeshttps://doi.org/10.1007/s00778-020-00632-7openalex-snapshot
Autoscaling tiered cloud storage in Anna
inferred← citeshttps://doi.org/10.1007/s00778-021-00652-xopenalex-snapshot
Dragoon: a hybrid and efficient big trajectory management system for offline and online analytics
inferred← citeshttps://doi.org/10.1007/s00778-021-00668-3openalex-snapshot
In-order sliding-window aggregation in worst-case constant time
inferred← citeshttps://doi.org/10.1007/s00778-022-00778-6openalex-snapshot
Survey of window types for aggregation in stream processing systems
inferred← citeshttps://doi.org/10.1007/s00778-023-00819-8openalex-snapshot
A survey on the evolution of stream processing systems
inferred← citeshttps://doi.org/10.1007/s10115-018-1248-0openalex-snapshot
The big data system, components, tools, and technologies: a survey
inferred← citeshttps://doi.org/10.1007/s10586-019-02908-2openalex-snapshot
Efficient deadline-aware scheduling for the analysis of Big Data streams in public Cloud
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/s10618-026-01252-5openalex-snapshot
Parallelization of incremental aggregations over sliding windows
inferred← citeshttps://doi.org/10.1007/s10766-016-0478-6openalex-snapshot
Fast Automated Processing and Evaluation of Identity Leaks
inferred← citeshttps://doi.org/10.1007/s11042-017-5518-8openalex-snapshot
A component-driven distributed framework for real-time video dehazing
inferred← citeshttps://doi.org/10.1007/s11227-022-04669-zopenalex-snapshot
An elastic and traffic-aware scheduler for distributed data stream processing in heterogeneous clusters
inferred← citeshttps://doi.org/10.1007/s11241-016-9257-0openalex-snapshot
Real-time processing of streaming big data
inferred← citeshttps://doi.org/10.1007/s11390-018-1876-6openalex-snapshot
A Task Allocation Method for Stream Processing with Recovery Latency Constraint
inferred← citeshttps://doi.org/10.1007/s11390-019-1940-xopenalex-snapshot
Scalable and Adaptive Joins for Trajectory Data in Distributed Stream System
inferred← citeshttps://doi.org/10.1007/s11390-021-1629-9openalex-snapshot
Online Nonstop Task Management for Storm-Based Distributed Stream Processing Engines
inferred← citeshttps://doi.org/10.1007/s11704-022-1706-4openalex-snapshot
QAAS: quick accurate auto-scaling for streaming processing
inferred← citeshttps://doi.org/10.1007/s11704-024-40710-5openalex-snapshot
Superior F1-score: I/O feature driven algorithms for stream computing systems workload identification
inferred← citeshttps://doi.org/10.1007/s11761-019-00262-0openalex-snapshot
Auto-scaling for real-time stream analytics on HPC cloud
inferred← citeshttps://doi.org/10.1007/s13198-021-01311-8openalex-snapshot
Straggler identification approach in large data processing frameworks using ensembled gradient boosting in smart-cities cloud services
inferred← citeshttps://doi.org/10.1016/b978-0-12-809715-1.00005-5openalex-snapshot
Data Infrastructure for Intelligent Transportation Systems
inferred← citeshttps://doi.org/10.1016/b978-0-443-13878-2.00007-2openalex-snapshot
Data infrastructure for connected transport systems
inferred← citeshttps://doi.org/10.1016/j.aei.2020.101165openalex-snapshot
IPC: Resource and network cost-aware distributed stream scheduling on skewed streams
inferred← citeshttps://doi.org/10.1016/j.bdr.2018.04.004openalex-snapshot
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
inferred← citeshttps://doi.org/10.1016/j.bdr.2021.100209openalex-snapshot
Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures
inferred← citeshttps://doi.org/10.1016/j.cosrev.2021.100422openalex-snapshot
A survey on the Distributed Computing stack
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Development of a real-time framework for parallel data stream processing⋆
inferred← citeshttps://doi.org/10.1016/j.future.2018.04.030openalex-snapshot
BDEv 3.0: Energy efficiency and microarchitectural characterization of Big Data processing frameworks
inferred← citeshttps://doi.org/10.1016/j.future.2018.05.025openalex-snapshot
Decentralized self-adaptation for elastic Data Stream Processing
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.2019.06.030openalex-snapshot
A short-term energy prediction system based on edge computing for smart city
inferred← citeshttps://doi.org/10.1016/j.future.2019.11.014openalex-snapshot
ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments
inferred← citeshttps://doi.org/10.1016/j.future.2019.11.037openalex-snapshot
Real-time resource scaling platform for Big Data workloads on serverless environments
inferred← citeshttps://doi.org/10.1016/j.future.2020.05.021openalex-snapshot
Dynamic redirection of real-time data streams for elastic stream computing
inferred← citeshttps://doi.org/10.1016/j.future.2020.07.007openalex-snapshot
A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one
inferred← citeshttps://doi.org/10.1016/j.future.2020.08.003openalex-snapshot
Lr-Stream: Using latency and resource aware scheduling to improve latency and throughput for streaming applications
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.2021.10.005openalex-snapshot
A multi-level collaborative framework for elastic stream computing systems
inferred← citeshttps://doi.org/10.1016/j.future.2024.02.013openalex-snapshot
Serverless-like platform for container-based YARN clusters
inferred← citeshttps://doi.org/10.1016/j.is.2023.102251openalex-snapshot
Bounding substreams in distributed stream processing
inferred← citeshttps://doi.org/10.1016/j.jcss.2021.05.003openalex-snapshot
TCEP: Transitions in operator placement to adapt to dynamic network environments
inferred← citeshttps://doi.org/10.1016/j.jnca.2017.12.001openalex-snapshot
Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
inferred← citeshttps://doi.org/10.1016/j.jpdc.2016.05.003openalex-snapshot
Pipelined fission for stream programs with dynamic selectivity and partitioned state
inferred← citeshttps://doi.org/10.1016/j.jpdc.2018.02.003openalex-snapshot
Model-driven scheduling for distributed stream processing systems
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.03.003openalex-snapshot
TSpoon: Transactions on a stream processor
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.10.001openalex-snapshot
Amnis: Optimized stream processing for edge computing
inferred← citeshttps://doi.org/10.1016/j.jss.2017.05.035openalex-snapshot
Resource management in cloud platform as a service systems: Analysis and opportunities
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106871openalex-snapshot
Metadata-based measurements transmission verified by a Merkle Tree
inferred← citeshttps://doi.org/10.1016/j.physa.2019.122024openalex-snapshot
Topology-aware task allocation for online distributed stream processing applications with latency constraints
inferred← citeshttps://doi.org/10.1016/j.procs.2018.05.028openalex-snapshot
Analysis and Visualisation of Geo-Referenced Tweets for Real-Time Information Diffusion
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/10.1080/17538947.2024.2365386openalex-snapshot
RTGDC: a real-time ingestion and processing approach in geospatial data cube for digital twin of earth
inferred← citeshttps://doi.org/10.1109/2575-8411.2026.00063openalex-snapshot
Enabling Realtime Stream Processing with Partial Computation Offloading
inferred← citeshttps://doi.org/10.1109/access.2016.2634557openalex-snapshot
A Stable Online Scheduling Strategy for Real-Time Stream Computing Over Fluctuating Big Data Streams
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/access.2020.3042739openalex-snapshot
Boosting Big Data Streaming Applications in Clouds With BurstFlow
inferred← citeshttps://doi.org/10.1109/access.2021.3079207openalex-snapshot
Performance Prediction Method for Stream Computing Platform Based on Time Series
inferred← citeshttps://doi.org/10.1109/access.2023.3298049openalex-snapshot
A Task-Oriented General-Purpose Distributed Computing System Based on CLTS Scheduling Algorithm
inferred← citeshttps://doi.org/10.1109/access.2024.3510885openalex-snapshot
dStream: An Online-Based Dynamic Operator-Level Query Mapping Scheme on Discrete CPU-GPU Architectures
inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00090openalex-snapshot
Leaking Queries On Secure Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/admit57209.2022.00029openalex-snapshot
Memory Efficient Stream Processing for IoT Devices
inferred← citeshttps://doi.org/10.1109/ancs.2019.8901877openalex-snapshot
INetCEP: In-Network Complex Event Processing for Information-Centric Networking
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7841022openalex-snapshot
TSmap3D: Browser visualization of high dimensional time series data
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258197openalex-snapshot
Smart distributed query execution over data streams
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622265openalex-snapshot
Concept-Driven Load Shedding: Reducing Size and Error of Voluminous and Variable Data Streams
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377752openalex-snapshot
Effective Stream Data Processing using Asynchronous Iterative Routing Protocol
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378142openalex-snapshot
Operator as a Service: Stateful Serverless Complex Event Processing
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671438openalex-snapshot
Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020316openalex-snapshot
Latency vs Cost : Data Ingestion options at Twitter Scale
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386898openalex-snapshot
AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale
inferred← citeshttps://doi.org/10.1109/bigdatacongress.2016.21openalex-snapshot
Geelytics: Enabling On-Demand Edge Analytics over Scoped Data Sources
inferred← citeshttps://doi.org/10.1109/bigdatacongress.2016.40openalex-snapshot
Edge-Computing-Aware Deployment of Stream Processing Tasks Based on Topology-External Information: Model, Algorithms, and a Storm-Based Prototype
inferred← citeshttps://doi.org/10.1109/bigdatacongress.2017.31openalex-snapshot
CEPaaS: Complex Event Processing as a Service
inferred← citeshttps://doi.org/10.1109/bigdia51454.2020.00040openalex-snapshot
ACS: Auto-Tuning the Configurations of Structured Streaming Programs by Using SVM
inferred← citeshttps://doi.org/10.1109/ccgrid.2016.88openalex-snapshot
Low Latency and Resource-Aware Program Composition for Large-Scale Data Analysis
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/ccgrid.2018.00029openalex-snapshot
Experimental Study on the Performance and Resource Utilization of Data Streaming Frameworks
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00045openalex-snapshot
CRAM: a Container Resource Allocation Mechanism for Big Data Streaming Applications
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00047openalex-snapshot
On the Cost of Acking in Data Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-30openalex-snapshot
Q-Flink: A QoS-Aware Controller for Apache Flink
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-68openalex-snapshot
Marabunta: Continuous Distributed Processing of Skewed Streams
inferred← citeshttps://doi.org/10.1109/ccgrid57682.2023.00046openalex-snapshot
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations
inferred← citeshttps://doi.org/10.1109/ccgrid59990.2024.00038openalex-snapshot
Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications
inferred← citeshttps://doi.org/10.1109/cict48419.2019.9066123openalex-snapshot
Towards comparison of real time stream processing engines
inferred← citeshttps://doi.org/10.1109/cloud.2016.0066openalex-snapshot
PaceMaker: When ZooKeeper Arteries Get Clogged in Storm Clusters
inferred← citeshttps://doi.org/10.1109/cloud.2018.00055openalex-snapshot
Twister:Net - Communication Library for Big Data Processing in HPC and Cloud Environments
inferred← citeshttps://doi.org/10.1109/cloud.2018.00103openalex-snapshot
Performance Analysis of Large-Scale Distributed Stream Processing Systems on the Cloud
inferred← citeshttps://doi.org/10.1109/cloud.2018.00126openalex-snapshot
HarmonicIO: Scalable Data Stream Processing for Scientific Datasets
inferred← citeshttps://doi.org/10.1109/cloud.2019.00044openalex-snapshot
Cost-Efficient Stream Processing on the Cloud
inferred← citeshttps://doi.org/10.1109/cloud53861.2021.00089openalex-snapshot
Neon: Low-Latency Streaming Pipelines for HPC
inferred← citeshttps://doi.org/10.1109/cloud60044.2023.00015openalex-snapshot
Storm-RTS: Stream Processing with Stable Performance for Multi-Cloud and Cloud-edge
inferred← citeshttps://doi.org/10.1109/cloudnet62863.2024.10815795openalex-snapshot
StreamBucket: In-Network Adaptation for Late-Binding Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/cluster.2018.00040openalex-snapshot
Cutting the Tail: Designing High Performance Message Brokers to Reduce Tail Latencies in Stream Processing
inferred← citeshttps://doi.org/10.1109/conit51480.2021.9498441openalex-snapshot
Aspect Based Opinion Mining Leveraging Weighted BiGRU and CNN Module in Parallel
inferred← citeshttps://doi.org/10.1109/csci58124.2022.00115openalex-snapshot
Sparrow Tracer: Scalable Real Time Metrics from Event Log Pipelines at Twitter
inferred← citeshttps://doi.org/10.1109/cse-euc.2017.64openalex-snapshot
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing
inferred← citeshttps://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00114openalex-snapshot
Accelerating Event Processing for Security Analytics on a Distributed In-Memory Platform
inferred← citeshttps://doi.org/10.1109/destion50928.2020.00012openalex-snapshot
Streaming computation algorithms for spatiotemporal micromobility service availability
inferred← citeshttps://doi.org/10.1109/drcn48652.2020.1570611009openalex-snapshot
Paxos in the NIC: Hardware Acceleration of Distributed Consensus Protocols
inferred← citeshttps://doi.org/10.1109/dsn48063.2020.00068openalex-snapshot
Learning to Reliably Deliver Streaming Data with Apache Kafka
inferred← citeshttps://doi.org/10.1109/dsn58367.2023.00024openalex-snapshot
Micro Replication
inferred← citeshttps://doi.org/10.1109/edcc53658.2021.00024openalex-snapshot
Stream-based State-Machine Replication
inferred← citeshttps://doi.org/10.1109/edge.2018.00011openalex-snapshot
Data Distillation at the Network's Edge: Exposing Programmable Logic with InLocus
inferred← citeshttps://doi.org/10.1109/edge.2018.00012openalex-snapshot
Optimizing Windowed Aggregation over Geo-Distributed Data Streams
inferred← citeshttps://doi.org/10.1109/edge.2018.00027openalex-snapshot
Large Scale Stream Analytics Using a Resource-Constrained Edge
inferred← citeshttps://doi.org/10.1109/edocw.2016.7584350openalex-snapshot
Automated Event Driven Dynamic Case Management
inferred← citeshttps://doi.org/10.1109/escience.2017.52openalex-snapshot
Online Decision-Making Using Edge Resources for Content-Driven Stream Processing
inferred← citeshttps://doi.org/10.1109/escience.2017.53openalex-snapshot
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments
inferred← citeshttps://doi.org/10.1109/escience.2018.00033openalex-snapshot
Pilot-Streaming: A Stream Processing Framework for High-Performance Computing
inferred← citeshttps://doi.org/10.1109/fas-w.2017.144openalex-snapshot
Into the Storm: Descrying Optimal Configurations Using Genetic Algorithms and Bayesian Optimization
inferred← citeshttps://doi.org/10.1109/fas-w.2017.173openalex-snapshot
Pulsar: Enabling Dynamic Data-Driven IoT Applications
inferred← citeshttps://doi.org/10.1109/globecom38437.2019.9013570openalex-snapshot
Dynamic Tuple Scheduling with Prediction for Data Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/glocom.2016.7841598openalex-snapshot
Analysis and Optimization of Big-Data Stream Processing
inferred← citeshttps://doi.org/10.1109/hipc53243.2021.00043openalex-snapshot
Model-based Reinforcement Learning for Elastic Stream Processing in Edge Computing
inferred← citeshttps://doi.org/10.1109/hotweb.2016.12openalex-snapshot
Firework: Big Data Sharing and Processing in Collaborative Edge Environment
inferred← citeshttps://doi.org/10.1109/hpbdis.2019.8735495openalex-snapshot
Twister2: TSet High-Performance Iterative Dataflow
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00036openalex-snapshot
DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00134openalex-snapshot
Radar: Reducing Tail Latencies for Batched Stream Processing with Blank Scheduling
inferred← citeshttps://doi.org/10.1109/hpcc64274.2024.00070openalex-snapshot
Efficient Serverless Stream Processing based on High-level Programming and Parallelism AutoTunig
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507211openalex-snapshot
LLM - Integrated Big Data Pipelines for Context - Aware Knowledge Extraction
inferred← citeshttps://doi.org/10.1109/ic2e.2016.38openalex-snapshot
Stela: Enabling Stream Processing Systems to Scale-in and Scale-out On-demand
inferred← citeshttps://doi.org/10.1109/ic2e52221.2021.00023openalex-snapshot
Evaluation of Load Prediction Techniques for Distributed Stream Processing
inferred← citeshttps://doi.org/10.1109/ic2e59103.2023.00030openalex-snapshot
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/ic2e61754.2024.00020openalex-snapshot
Toward Stream Processing Elasticity in Realistic Geo-Distributed Environments
inferred← citeshttps://doi.org/10.1109/icac.2016.27openalex-snapshot
Adaptive Block and Batch Sizing for Batched Stream Processing System
inferred← citeshttps://doi.org/10.1109/icac.2017.31openalex-snapshot
GOVERNOR: Smoother Stream Processing Through Smarter Backpressure
inferred← citeshttps://doi.org/10.1109/icac.2018.00011openalex-snapshot
ORiON: Online ResOurce Negotiator for Multiple Big Data Analytics Frameworks
inferred← citeshttps://doi.org/10.1109/icac.2019.00025openalex-snapshot
Forecasting a Storm: Divining Optimal Configurations using Genetic Algorithms and Supervised Learning
inferred← citeshttps://doi.org/10.1109/icc.2019.8761074openalex-snapshot
MIPS: Instance Placement for Stream Processing Systems Based on Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.1109/iccmc51019.2021.9418242openalex-snapshot
Aspect-Oriented Sentiment Classification using BiGRU-CNN model
inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392270openalex-snapshot
Real-Time Clickstream Data Processing and Visualization Using Apache Tools
inferred← citeshttps://doi.org/10.1109/icdcs.2017.323openalex-snapshot
Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications
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