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Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks

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What this work says

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

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Principal Component Analysis
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Principal Component Analysis
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Selection and replacement algorithms for memory performance improvement in Spark
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/bf01588971openalex-snapshot
An analysis of approximations for maximizing submodular set functions—I
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An enhanced extreme learning machine based on ridge regression for regression
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EAD: elasticity aware deduplication manager for datacenters with multi-tier storage systems
inferredcites →https://doi.org/10.1007/s10766-016-0470-1openalex-snapshot
LCS: An Efficient Data Eviction Strategy for Spark
inferredcites →https://doi.org/10.1016/0167-6423(84)90013-3openalex-snapshot
The theory of relational databases
inferredcites →https://doi.org/10.1016/s0167-6377(03)00062-2openalex-snapshot
A note on maximizing a submodular set function subject to a knapsack constraint
inferredcites →https://doi.org/10.1017/cbo9780511794308openalex-snapshot
Compressed Sensing
inferredcites →https://doi.org/10.1023/b:joco.0000038913.96607.c2openalex-snapshot
Pipage Rounding: A New Method of Constructing Algorithms with Proven Performance Guarantee
inferredcites →https://doi.org/10.1109/focs.2010.60openalex-snapshot
Dependent Randomized Rounding via Exchange Properties of Combinatorial Structures
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/10.1109/tc.2001.970573openalex-snapshot
LRFU: a spectrum of policies that subsumes the least recently used and least frequently used policies
inferredcites →https://doi.org/10.1109/tit.2013.2281606openalex-snapshot
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1137/1.9781611973068.60openalex-snapshot
Maximizing Submodular Set Functions Subject to Multiple Linear Constraints
inferredcites →https://doi.org/10.1145/1065579.1065788openalex-snapshot
StressTest
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/170035.170081openalex-snapshot
The LRU-K page replacement algorithm for database disk buffering
inferredcites →https://doi.org/10.1145/2896377.2901467openalex-snapshot
Adaptive Caching Networks with Optimality Guarantees
inferredcites →https://doi.org/10.1145/2964791.2901467openalex-snapshot
Adaptive Caching Networks with Optimality Guarantees
inferredcites →https://doi.org/10.1184/r1/6591131openalex-snapshot
A note on the budgeted maximization of submodular functions
inferredcites →https://doi.org/10.1287/moor.1110.0499openalex-snapshot
Tight Approximation Algorithms for Maximum Separable Assignment Problems
inferredcites →https://doi.org/10.14778/2367502.2367519openalex-snapshot
Interactive analytical processing in big data systems
inferredcites →https://doi.org/10.2307/1267351openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2307/1271436openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.4218/etrij.13.0112.0606openalex-snapshot
Cache Optimization on Hot-Point Proxy Caching Using Weighted-Rank Cache Replacemnt Policy
inferredcites →https://doi.org/10.48550/arxiv.1310.8499openalex-snapshot
Deep AutoRegressive Networks
inferredcites →https://doi.org/10.5555/1012889.1012894openalex-snapshot
Distributed caching with memcached
inferredcites →https://doi.org/10.5555/1496770.1496830openalex-snapshot
Maximizing submodular set functions subject to multiple linear constraints
inferredcites →https://doi.org/10.5555/3026877.3026887openalex-snapshot
Morpheus: towards automated SLOs for enterprise clusters
inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot
Learning with Kernels

What points at this work

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

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LPW: an efficient data-aware cache replacement strategy for Apache Spark
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Multi-objective-Oriented Cuckoo Search Optimization-Based Resource Scheduling Algorithm for Clouds
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A bandwidth allocation and energy-optimal transmission rate scheduling scheme in multi-services wireless networks
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Profile-based power-aware workflow scheduling framework for energy-efficient data centers
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Intermediate data placement and cache replacement strategy under Spark platform
inferred← citeshttps://doi.org/10.1016/j.peva.2020.102138openalex-snapshot
Fair caching networks
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Enhancing Task Scheduling in Cloud Computing: A Multi-Objective Cuckoo Search Algorithm Approach
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ReSpark: Automatic Caching for Iterative Applications in Apache Spark
inferred← citeshttps://doi.org/10.1109/candarw.2018.00096openalex-snapshot
Improving Apache Spark's Cache Mechanism with LRC-Based Method Using Bloom Filter
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SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis
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Spark Performance Optimization Analysis In Memory Management with Deploy Mode In Standalone Cluster Computing
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Dynamic Caching for Multi-Job and Real-Time IoT Data Analytics
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New YARN Non-Exclusive Resource Management Scheme through Opportunistic Idle Resource Assignment
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Cache Networks of Counting Queues
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Detecting cache-related bugs in Spark applications
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Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
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Scalable Graph Coloring Optimization Based on Spark GraphX Leveraging Partition Asymmetry
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