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Prediction-Based QoS Management for Real-Time Data Streams
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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/bf01277518openalex-snapshot
Optimization of parallel query execution plans in XPRS
inferredcites →https://doi.org/10.1007/bf01277522openalex-snapshot
Dataflow query execution in a parallel main-memory environment
inferredcites →https://doi.org/10.1007/s00778-004-0132-6openalex-snapshot
Operator scheduling in data stream systems
inferredcites →https://doi.org/10.1007/s00778-004-0147-zopenalex-snapshot
The CQL continuous query language: semantic foundations and query execution
inferredcites →https://doi.org/10.1016/b978-012722442-8/50035-5openalex-snapshot
Load Shedding in a Data Stream Manager
inferredcites →https://doi.org/10.1016/b978-012722442-8/50079-3openalex-snapshot
Operator Scheduling in a Data Stream Manager
inferredcites →https://doi.org/10.1016/b978-155860869-6/50027-5openalex-snapshot
Monitoring Streams — A New Class of Data Management Applications
inferredcites →https://doi.org/10.1109/icde.2001.914867openalex-snapshot
Overcoming limitations of sampling for aggregation queries
inferredcites →https://doi.org/10.1109/icde.2004.1320010openalex-snapshot
Load shedding for aggregation queries over data streams
inferredcites →https://doi.org/10.1109/isorc.2006.68openalex-snapshot
RTSTREAM: Real-Time Query Processing for Data Streams
inferredcites →https://doi.org/10.1145/182591.182594openalex-snapshot
On the relative cost of sampling for join selectivity estimation
inferredcites →https://doi.org/10.1145/603867.603884openalex-snapshot
Continuous queries over data streams
inferredcites →https://doi.org/10.1145/776985.776986openalex-snapshot
Issues in data stream management
inferredcites →https://doi.org/10.1145/974750.974756openalex-snapshot
Characterizing memory requirements for queries over continuous data streams
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470050118.ecse575openalex-snapshot
Real Time Database Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-87785-1_15openalex-snapshot
Data Services in Distributed Real-Time Embedded Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-00672-2_56openalex-snapshot
Load Shedding for Shared Window Join over Real-Time Data Streams
inferred← citeshttps://doi.org/10.1007/s00500-015-1617-5openalex-snapshot
Towards load shedding and scheduling schemes for data streams that maintain quality and timing requirements of query results
inferred← citeshttps://doi.org/10.1007/s11241-016-9257-0openalex-snapshot
Real-time processing of streaming big data
inferred← citeshttps://doi.org/10.1016/j.jnca.2010.12.005openalex-snapshot
A heuristic adaptive QoS prediction scheme in single-hop passive star coupled WDM optical networks
inferred← citeshttps://doi.org/10.1016/j.jss.2012.03.055openalex-snapshot
Adaptive co-scheduling for periodic application and update transactions in real-time database systems
inferred← citeshttps://doi.org/10.1109/access.2020.3043948openalex-snapshot
DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/bigdata.2015.7363773openalex-snapshot
A predictive scheduling framework for fast and distributed stream data processing
inferred← citeshttps://doi.org/10.1109/dsn.2008.4630103openalex-snapshot
Hot-spot prediction and alleviation in distributed stream processing applications
inferred← citeshttps://doi.org/10.1109/fskd.2007.135openalex-snapshot
Adaptive Load Management over Real-Time Data Streams
inferred← citeshttps://doi.org/10.1109/fskd.2008.17openalex-snapshot
An Approach to Handle Overload in Real-Time Data Stream Management System
inferred← citeshttps://doi.org/10.1109/fskd.2011.6019496openalex-snapshot
On a novel property of the earliest deadline first algorithm
inferred← citeshttps://doi.org/10.1109/icde.2015.7113377openalex-snapshot
AEDSMS: Automotive Embedded Data Stream Management System
inferred← citeshttps://doi.org/10.1109/inss.2007.4297414openalex-snapshot
KRAFT: A Real-Time Active DBMS for Signal Streams
inferred← citeshttps://doi.org/10.1109/ipdps.2009.5161015openalex-snapshot
Accommodating bursts in distributed stream processing systems
inferred← citeshttps://doi.org/10.1109/isorc.2007.49openalex-snapshot
QoS Management of Real-Time Data Stream Queries in Distributed Environments
inferred← citeshttps://doi.org/10.1109/isorc.2011.21openalex-snapshot
Modeling and Analyzing Real-Time Data Streams
inferred← citeshttps://doi.org/10.1109/isorc.2013.6913211openalex-snapshot
Resource management using pattern-based prediction to address bursty data streams
inferred← citeshttps://doi.org/10.1109/iwqos52092.2021.9521325openalex-snapshot
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads
inferred← citeshttps://doi.org/10.1109/rtcsa.2009.23openalex-snapshot
QoS-Aware Scheduling for Mixed Real-Time Queries over Data Streams
inferred← citeshttps://doi.org/10.1109/rtcsa.2015.31openalex-snapshot
EDF-PStream: Earliest Deadline First Scheduling of Preemptable Data Streams -- Issues Related to Automotive Applications
inferred← citeshttps://doi.org/10.1109/rtss.2007.29openalex-snapshot
Real-Time Monitoring of Uncertain Data Streams Using Probabilistic Similarity
inferred← citeshttps://doi.org/10.1109/rtss.2007.38openalex-snapshot
Energy-Aware Scheduling of Real-Time Tasks in Wireless Networked Embedded Systems
inferred← citeshttps://doi.org/10.1109/rtss.2009.22openalex-snapshot
Integrating Proactive and Reactive Approaches for Robust Real-Time Data Services
inferred← citeshttps://doi.org/10.1109/srds.2012.55openalex-snapshot
RADAR: Adaptive Rate Allocation in Distributed Stream Processing Systems under Bursty Workloads
inferred← citeshttps://doi.org/10.1109/tbdata.2016.2616148openalex-snapshot
Performance Modeling and Predictive Scheduling for Distributed Stream Data Processing
inferred← citeshttps://doi.org/10.1109/tc.2011.154openalex-snapshot
Scheduling Periodic Continuous Queries in Real-Time Data Broadcast Environments
inferred← citeshttps://doi.org/10.1109/tkde.2018.2866842openalex-snapshot
Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints
inferred← citeshttps://doi.org/10.1109/tpds.2008.165openalex-snapshot
QoS-Aware Shared Component Composition for Distributed Stream Processing Systems
inferred← citeshttps://doi.org/10.1109/waim.2008.26openalex-snapshot
Exploiting Application Semantics in Monitoring Real-Time Data Streams
inferred← citeshttps://doi.org/10.1109/wicom.2008.1330openalex-snapshot
Query Quality of Service Management Based on Data Relationship over Real-Time Data Stream Systems
inferred← citeshttps://doi.org/10.1142/s0218843014500063openalex-snapshot
Preferential Resource Allocation in Stream Processing Systems
inferred← citeshttps://doi.org/10.1145/2076623.2076654openalex-snapshot
Black-box determination of cost models' parameters for federated stream-processing systems
inferred← citeshttps://doi.org/10.14778/3184470.3184474openalex-snapshot
Model-free control for distributed stream data processing using deep reinforcement learning
inferred← citeshttps://doi.org/10.14778/3199517.3199521openalex-snapshot
Model-free control for distributed stream data processing using deep reinforcement learning
inferred← citeshttps://doi.org/10.1587/transinf.2016dap0029openalex-snapshot
Capacity Control of Social Media Diffusion for Real-Time Analysis System
inferred← citeshttps://doi.org/10.2197/ipsjjip.25.107openalex-snapshot
In-vehicle Distributed Time-critical Data Stream Management System for Advanced Driver Assistance
inferred← citeshttps://doi.org/10.4108/eai.19-8-2015.2261092openalex-snapshot
Scheduling Analysis of Broadcasting Real-Time Data Based on Prediction Scheme over Wireless Multi-Channels
inferred← citeshttps://doi.org/10.7936/k7g15z63openalex-snapshot
Proceedings Work-In-Progress Session of the 13th Real-Time and Embedded Technology and Applications Symposium
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