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Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach

https://doi.org/10.3390/a11090134
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.2864openalex-snapshot
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud
inferredcites →https://doi.org/10.1002/cpe.4334openalex-snapshot
Optimal operator deployment and replication for elastic distributed data stream processing
inferredcites →https://doi.org/10.1007/11914853_5openalex-snapshot
Efficient Dynamic Operator Placement in a Locally Distributed Continuous Query System
inferredcites →https://doi.org/10.1007/978-3-030-10549-5_5openalex-snapshot
A Multi-level Elasticity Framework for Distributed Data Stream Processing
inferredcites →https://doi.org/10.1007/978-3-319-91632-3_8openalex-snapshot
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
inferredcites →https://doi.org/10.1007/978-3-540-89856-6_17openalex-snapshot
Toward Massive Query Optimization in Large-Scale Distributed Stream Systems
inferredcites →https://doi.org/10.1007/978-3-642-35813-5_4openalex-snapshot
On Patterns for Decentralized Control in Self-Adaptive Systems
inferredcites →https://doi.org/10.1007/s10586-007-0035-6openalex-snapshot
On the use of hybrid reinforcement learning for autonomic resource allocation
inferredcites →https://doi.org/10.1007/s10723-014-9314-7openalex-snapshot
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
inferredcites →https://doi.org/10.1016/j.future.2017.09.004openalex-snapshot
Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams
inferredcites →https://doi.org/10.1016/j.future.2018.05.025openalex-snapshot
Decentralized self-adaptation for elastic Data Stream Processing
inferredcites →https://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
inferredcites →https://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
inferredcites →https://doi.org/10.1109/ccgrid.2017.15openalex-snapshot
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling
inferredcites →https://doi.org/10.1109/hpcsim.2016.7568388openalex-snapshot
Elastic stateful stream processing in storm
inferredcites →https://doi.org/10.1109/ic2e.2016.38openalex-snapshot
Stela: Enabling Stream Processing Systems to Scale-in and Scale-out On-demand
inferredcites →https://doi.org/10.1109/icccn.2010.5560127openalex-snapshot
Solving the Multi-Operator Placement Problem in Large-Scale Operator Networks
inferredcites →https://doi.org/10.1109/icdcs.2015.48openalex-snapshot
Elastic Stream Processing with Latency Guarantees
inferredcites →https://doi.org/10.1109/icdcs.2017.253openalex-snapshot
A Preventive Auto-Parallelization Approach for Elastic Stream Processing
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.2017.81openalex-snapshot
Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine
inferredcites →https://doi.org/10.1109/icdew.2014.6818344openalex-snapshot
Auto-scaling techniques for elastic data stream processing
inferredcites →https://doi.org/10.1109/mc.2003.1160055openalex-snapshot
The vision of autonomic computing
inferredcites →https://doi.org/10.1109/mcc.2016.66openalex-snapshot
Managing Uncertainty in Autonomic Cloud Elasticity Controllers
inferredcites →https://doi.org/10.1109/mic.2017.2911430openalex-snapshot
A Serverless Real-Time Data Analytics Platform for Edge Computing
inferredcites →https://doi.org/10.1109/mprv.2015.32openalex-snapshot
Edge Analytics in the Internet of Things
inferredcites →https://doi.org/10.1109/pdp.2017.31openalex-snapshot
Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators
inferredcites →https://doi.org/10.1109/sec.2016.17openalex-snapshot
SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers
inferredcites →https://doi.org/10.1109/tbdata.2017.2720622openalex-snapshot
Performance-Oriented Deployment of Streaming Applications on Cloud
inferredcites →https://doi.org/10.1109/tnet.2017.2741969openalex-snapshot
DRS: Auto-Scaling for Real-Time Stream Analytics
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tpds.2012.24openalex-snapshot
StreamCloud: An Elastic and Scalable Data Streaming System
inferredcites →https://doi.org/10.1109/tpds.2013.295openalex-snapshot
Elastic Scaling for Data Stream Processing
inferredcites →https://doi.org/10.1109/tpds.2017.2762683openalex-snapshot
Elastic Symbiotic Scaling of Operators and Resources in Stream Processing Systems
inferredcites →https://doi.org/10.1109/tpds.2018.2812177openalex-snapshot
Firework: Data Processing and Sharing for Hybrid Cloud-Edge Analytics
inferredcites →https://doi.org/10.1126/science.153.3731.34openalex-snapshot
Dynamic Programming
inferredcites →https://doi.org/10.1145/2463676.2465282openalex-snapshot
Integrating scale out and fault tolerance in stream processing using operator state management
inferredcites →https://doi.org/10.1145/2528412openalex-snapshot
A catalog of stream processing optimizations
inferredcites →https://doi.org/10.1145/2675743.2772598openalex-snapshot
The DEBS 2015 grand challenge
inferredcites →https://doi.org/10.1145/2806777.2806847openalex-snapshot
Online parameter optimization for elastic data stream processing
inferredcites →https://doi.org/10.1145/2903146openalex-snapshot
A Game-Theoretic Approach for Elastic Distributed Data Stream Processing
inferredcites →https://doi.org/10.1145/2933267.2933317openalex-snapshot
Incremental deployment and migration of geo-distributed situation awareness applications in the fog
inferredcites →https://doi.org/10.1145/3132618openalex-snapshot
A Stepwise Auto-Profiling Method for Performance Optimization of Streaming Applications
inferredcites →https://doi.org/10.4135/9781412985161openalex-snapshot
Multiple Attribute Decision Making

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.6268openalex-snapshot
Fault tolerant resource allocation in fog environment using game theory‐based reinforcement learning
inferred← citeshttps://doi.org/10.1002/dac.4541openalex-snapshot
A dynamic fog service provisioning approach for IoT applications
inferred← citeshttps://doi.org/10.1002/ett.4342openalex-snapshot
A proactive fog service provisioning framework for Internet of Things applications: An autonomic approach
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/s10586-022-03636-wopenalex-snapshot
Multi-level just-enough elasticity for MQTT brokers of Internet of Things applications
inferred← citeshttps://doi.org/10.1007/s10723-019-09491-1openalex-snapshot
Resource Management Approaches in Fog Computing: a Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s11227-022-04338-1openalex-snapshot
Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review
inferred← citeshttps://doi.org/10.1007/s11227-022-05024-yopenalex-snapshot
Micro-batch and data frequency for stream processing on multi-cores
inferred← citeshttps://doi.org/10.1007/s11227-025-07232-8openalex-snapshot
MeghMesa: a multilevel elasticity for streaming applications in cloud
inferred← citeshttps://doi.org/10.1016/j.comcom.2020.07.028openalex-snapshot
Resource provisioning for IoT services in the fog computing environment: An autonomic approach
inferred← citeshttps://doi.org/10.1016/j.future.2020.03.056openalex-snapshot
Designing an efficient clustering strategy for combined Fog-to-Cloud scenarios
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102362openalex-snapshot
Resource provisioning in edge/fog computing: A Comprehensive and Systematic Review
inferred← citeshttps://doi.org/10.1109/acsos66086.2025.00024openalex-snapshot
Coordinated Online Reinforcement Learning for Self-Adaptive Systems Using Factored Q-Learning
inferred← citeshttps://doi.org/10.1109/icraset63057.2024.10894930openalex-snapshot
Comprehensive Fault Handling and Resource Management Strategies for FOG Infrastructure
inferred← citeshttps://doi.org/10.1109/sbac-pad.2019.00021openalex-snapshot
Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing
inferred← citeshttps://doi.org/10.1145/3337821.3337894openalex-snapshot
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing
inferred← citeshttps://doi.org/10.1145/3429351.3431741openalex-snapshot
Model-based auto-scaling of distributed data stream processing applications
inferred← citeshttps://doi.org/10.1145/3447545.3451901openalex-snapshot
Elastic Pulsar Functions for Distributed Stream Processing
inferred← citeshttps://doi.org/10.1145/3491087.3493680openalex-snapshot
Autonomous resource management in distributed stream processing systems
inferred← citeshttps://doi.org/10.1145/3676151.3719369openalex-snapshot
On-demand Memory Compression of Stream Aggregates through Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3744662openalex-snapshot
Resource Provisioning in Fog Computing - A Survey
inferred← citeshttps://doi.org/10.3390/a11120200openalex-snapshot
Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures
inferred← citeshttps://doi.org/10.3390/s22114099openalex-snapshot
Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things
inferred← citeshttps://doi.org/10.70675/a4e88366z6158z4522z848dzcdff140256c4openalex-snapshot
Quality of Service Aware Mechanisms for (Re)Configuring Data Stream Processing Applications on Highly Distributed Infrastructure
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