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Reducing Deadline Misses and Power Consumption in Real-Time Databases

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What this work says

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

inferredcites →https://doi.org/10.1002/0471691852openalex-snapshot
Nonlinear Signal Processing: A Statistical Approach
inferredcites →https://doi.org/10.1007/978-0-585-32314-5_8openalex-snapshot
Real-Time Database Systems
inferredcites →https://doi.org/10.1007/s11241-014-9207-7openalex-snapshot
Scheduling algorithms to reduce the static energy consumption of real-time systems
inferredcites →https://doi.org/10.1016/j.sysarc.2012.03.003openalex-snapshot
Power- and time-aware buffer cache management for real-time embedded databases
inferredcites →https://doi.org/10.1109/ecrts.2005.4openalex-snapshot
A Similarity-Aware Multiversion Concurrency Control and Updating Algorithm for Up-to-Date Snapshots of Data
inferredcites →https://doi.org/10.1109/rtas.2014.6926009openalex-snapshot
Has energy surpassed timeliness? Scheduling energy-constrained mixed-criticality systems
inferredcites →https://doi.org/10.1109/rtas.2015.7108419openalex-snapshot
POET: a portable approach to minimizing energy under soft real-time constraints
inferredcites →https://doi.org/10.1109/rtss.2015.25openalex-snapshot
Data Acquisition for Real-Time Decision-Making under Freshness Constraints
inferredcites →https://doi.org/10.1109/tc.2008.16openalex-snapshot
Deferrable Scheduling for Maintaining Real-Time Data Freshness: Algorithms, Analysis, and Results
inferredcites →https://doi.org/10.1109/tc.2012.266openalex-snapshot
Schedulability Analysis of DeferrableScheduling Algorithms for MaintainingReal-Time Data Freshness
inferredcites →https://doi.org/10.1109/tc.2015.2394309openalex-snapshot
Online Energy Estimation of Relational Operations in Database Systems
inferredcites →https://doi.org/10.1109/tkde.2004.61openalex-snapshot
Managing deadline miss ratio and sensor data freshness in real-time databases
inferredcites →https://doi.org/10.1145/1061318.1061322openalex-snapshot
TinyDB: an acquisitional query processing system for sensor networks
inferredcites →https://doi.org/10.1145/1290672.1290678openalex-snapshot
Algorithms for power savings
inferredcites →https://doi.org/10.1145/2070942.2070974openalex-snapshot
A database in every sensor
inferredcites →https://doi.org/10.1145/2247596.2247648openalex-snapshot
Peak power plays in database engines
inferredcites →https://doi.org/10.1145/2627692.2627696openalex-snapshot
A system for energy-efficient data management
inferredcites →https://doi.org/10.1145/2808231openalex-snapshot
Energy-Aware Scheduling for Real-Time Systems
inferredcites →https://doi.org/10.1155/2015/657252openalex-snapshot
QoS Management for Embedded Databases in Multicore-Based Embedded Systems
inferredcites →https://doi.org/10.1198/tech.2006.s355openalex-snapshot
Nonlinear Signal Processing: A Statistical Approach
inferredcites →https://doi.org/10.1561/1900000001openalex-snapshot
Adaptive Query Processing
inferredcites →https://doi.org/10.1561/9781601980359openalex-snapshot
Adaptive Query Processing
inferredcites →https://doi.org/10.48550/arxiv.0909.1767openalex-snapshot
Towards Eco-friendly Database Management Systems
inferredcites →https://doi.org/10.5555/2685048.2685075openalex-snapshot
Characterizing storage workloads with counter stacks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-05054-2_39openalex-snapshot
Energy-Efficient Data Temporal Consistency Maintenance for IoT Systems
inferred← citeshttps://doi.org/10.1007/s11241-018-9302-2openalex-snapshot
Enhancing timeliness and saving power in real-time databases
inferred← citeshttps://doi.org/10.1007/s11771-020-4552-2openalex-snapshot
Temporal consistency maintenance on multiprocessor platforms with instance skipping
inferred← citeshttps://doi.org/10.1016/j.cosrev.2019.100215openalex-snapshot
Transaction scheduling protocols for controlling priority inversion: A review
inferred← citeshttps://doi.org/10.1109/access.2019.2956061openalex-snapshot
Energy-Aware Real-Time Data Processing for IoT Systems
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622464openalex-snapshot
Cloud based Real-Time and Low Latency Scientific Event Analysis
inferred← citeshttps://doi.org/10.1109/icoin.2019.8718108openalex-snapshot
Deep Reinforcement Learning Based Sensor Data Management for Vehicles
inferred← citeshttps://doi.org/10.1109/icsess.2018.8663743openalex-snapshot
Thermal-Aware QoS Management for Real-Time Databases
inferred← citeshttps://doi.org/10.1109/rtss.2017.00032openalex-snapshot
RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals
inferred← citeshttps://doi.org/10.1145/3538225openalex-snapshot
Energy-Efficient Database Systems: A Systematic Survey
inferred← citeshttps://doi.org/10.4018/978-1-7998-3479-3.ch055openalex-snapshot
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