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LCRC: A Dependency-Aware Cache Management Policy for Spark
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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.3584openalex-snapshot
Selection and replacement algorithms for memory performance improvement in Spark
inferredcites →https://doi.org/10.1007/s10766-016-0470-1openalex-snapshot
LCS: An Efficient Data Eviction Strategy for Spark
inferredcites →https://doi.org/10.1109/infocom.2017.8057007openalex-snapshot
LRC: Dependency-aware cache management for data analytics clusters
inferredcites →https://doi.org/10.1109/ipdps.2016.105openalex-snapshot
MEMTUNE: Dynamic Memory Management for In-Memory Data Analytic Platforms
inferredcites →https://doi.org/10.1109/iscid.2015.30openalex-snapshot
A New Scheme for Cache Optimization Based on Cluster Computing Framework Spark
inferredcites →https://doi.org/10.1145/224056.224064openalex-snapshot
Informed prefetching and caching
inferredcites →https://doi.org/10.1145/235543.235544openalex-snapshot
Implementation and performance of integrated application-controlled file caching, prefetching, and disk scheduling
inferredcites →https://doi.org/10.1145/2837060openalex-snapshot
Proceedings of the 2015 International Conference on Big Data Applications and Services
inferredcites →https://doi.org/10.1145/321623.321632openalex-snapshot
Principles of Optimal Page Replacement
inferredcites →https://doi.org/10.1147/sj.92.0078openalex-snapshot
Evaluation techniques for storage hierarchies
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-58669-0_36openalex-snapshot
Memory Management Approaches in Apache Spark: A Review
inferred← citeshttps://doi.org/10.1007/s10586-022-03541-2openalex-snapshot
Dynamic data replacement and adaptive scheduling policies in spark
inferred← citeshttps://doi.org/10.1007/s11227-022-04663-5openalex-snapshot
Memory management optimization strategy in Spark framework based on less contention
inferred← citeshttps://doi.org/10.1007/s11227-024-06095-9openalex-snapshot
Distributed cache strategy based on LT codes under spark platform
inferred← citeshttps://doi.org/10.1109/bigcom61073.2023.00032openalex-snapshot
SAC: Dynamic Caching upon Sketch for In-Memory Big Data Analytics
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006590openalex-snapshot
Transparent In-memory Cache Management in Apache Spark based on Post-Mortem Analysis
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00055openalex-snapshot
Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00060openalex-snapshot
Resource-Aware Cache Management for In-Memory Data Analytics Frameworks
inferred← citeshttps://doi.org/10.1109/msn63567.2024.00138openalex-snapshot
Dynamic Caching for Multi-Job and Real-Time IoT Data Analytics
inferred← citeshttps://doi.org/10.1145/3627703.3629558openalex-snapshot
Blaze: Holistic Caching for Iterative Data Processing
inferred← citeshttps://doi.org/10.17760/d20474685openalex-snapshot
Towards performance and cost-efficiency for data-intensive applications in distributed data processing systems
inferred← citeshttps://doi.org/10.3390/app11188476openalex-snapshot
Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD
inferred← citeshttps://doi.org/10.3390/electronics10161874openalex-snapshot
Performance Improvement of DAG-Aware Task Scheduling Algorithms with Efficient Cache Management in Spark
inferred← citeshttps://doi.org/10.7717/peerj-cs.2460openalex-snapshot
Adaptive memory reservation strategy for heavy workloads in the Spark environment
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