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Inspection and Characterization of App File Usage in Mobile Devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/ipdps.2017.45openalex-snapshot
ScalaIOExtrap: Elastic I/O Tracing and Extrapolation
inferredcites →https://doi.org/10.1109/msst.2016.7897092openalex-snapshot
Understanding storage I/O behaviors of mobile applications
inferredcites →https://doi.org/10.1109/tc.2017.2711620openalex-snapshot
Non-Volatile Memory Based Page Swapping for Building High-Performance Mobile Devices
inferredcites →https://doi.org/10.1145/2385603.2385607openalex-snapshot
Revisiting storage for smartphones
inferredcites →https://doi.org/10.1145/2501620.2508010openalex-snapshot
A Prefetching Scheme Exploiting both Data Layout and Access History on Disk
inferredcites →https://doi.org/10.1145/2742647.2742661openalex-snapshot
Reducing Smartphone Application Delay through Read/Write Isolation
inferredcites →https://doi.org/10.1145/3126509openalex-snapshot
Application-Aware Swapping for Mobile Systems
inferredcites →https://doi.org/10.1145/3126511openalex-snapshot
Lightweight Data Compression for Mobile Flash Storage
inferredcites →https://doi.org/10.5555/2750482.2750497openalex-snapshot
Boosting quasi-asynchronous I/O for better responsiveness in mobile devices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDs
inferred← citeshttps://doi.org/10.1007/978-3-031-10545-6_6openalex-snapshot
Mobile Prefetching and Web Prefetching: A Systematic Literature Review
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Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems
inferred← citeshttps://doi.org/10.1109/iccd63220.2024.00093openalex-snapshot
CacheTrimmer: Adaptive Cache File Trimming for Optimized Performance and Lifetime on Mobile Devices
inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00276openalex-snapshot
Transparent File Deduplication with Reduced Update Cost on Encryption Enabled Mobile Devices
inferred← citeshttps://doi.org/10.1109/iiswc55918.2022.00027openalex-snapshot
Revisiting Temporal Storage I/O Behaviors of Smartphone Applications: Analysis and Synthesis
inferred← citeshttps://doi.org/10.1109/nvmsa63038.2024.10693659openalex-snapshot
Eliminate Critical Fragmentation of F2FS in Mobile Devices with Controller Co-Design
inferred← citeshttps://doi.org/10.1109/tcad.2020.3013078openalex-snapshot
Boosting User Experience via Foreground-Aware Cache Management in UFS Mobile Devices
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Data Integrity Verification in Mobile Edge Computing With Multi-Vendor and Multi-Server
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Analyzing Request Volatility in Cloud-Based Machine Learning: Insights From Alibaba’s Machine Learning as a Service Platform
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LUNAR: A Native Table Engine for Embedded Devices
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Rectifying Skewed Kernel Page Reclamation in Mobile Devices for Improving User-Perceivable Latency
inferred← citeshttps://doi.org/10.1145/3620665.3640370openalex-snapshot
LazyBarrier: Reconstructing Android IO Stack for Barrier-Enabled Flash Storage
inferred← citeshttps://doi.org/10.1145/3680277openalex-snapshot
A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends
inferred← citeshttps://doi.org/10.1145/3688351.3689157openalex-snapshot
Space-efficient FTL for Mobile Storage via Tiny Neural Nets
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Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading
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Analyzing Request Volatility of I/O Temporal Behaviors in Mobile Storage Workloads
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Efficient Hash-Free Mobile Cloud Backup via Operation-Log Versioning
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Advanced I/O Stack for Efficient Zone-based Mobile Flash Storage
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The Effect of Using Augmented Reality Technology in Takeaway Food Packaging to Improve Young Consumers’ Negative Evaluations
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Observation and Optimization on Garbage Collection of Flash Memories: The View in Performance Cliff
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Energy-Efficient Connectivity Algorithm for Directional Sensor Networks in Edge Intelligence Systems
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Adaptive Task Scheduling for Edge-Intelligent Systems: An Online Sleeping Restless Bandits Framework
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