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Innovative cloud-native file system addressing challenges in container-based applications. Introduces lightweight client, DPU-based offloading, storage-aware mechanism, and full path QoS for improved performance and resource efficiency.
Explores per-file virtualization for userspace persistent memory filesystems, introducing MadFS with embedded metadata, crash consistency, and optimistic concurrency control for improved performance and scalability.
Innovative prefetcher Paralfetch speeds up app launches on personal devices through accurate request collection, pre-scheduling, and overlapped execution, outperforming existing prefetchers in tests.
Automated tool for detecting policy violations in voice assistant apps, analyzing 54,055 Alexa skills and 5,583 Google actions, identifying over 6,000 violations across 52 policy requirements.
Explores Realms, a new confidential computing abstraction protecting data privacy in virtual machines. Introduces novel verification techniques for secure firmware in complex, concurrent systems.
Explore BlockFlex, a learning-based framework for efficient storage harvesting in cloud platforms, enabling fine-grained resource utilization while ensuring performance and security isolation.
Automating model-parallel training for large deep learning models through a hierarchical approach, unifying data, operator, and pipeline parallelism for efficient distributed execution.
Innovative container security architecture using a trusted monitor to protect data confidentiality and integrity from untrusted operating systems, with minimal performance impact.
Innovative storage system that tailors redundancy to disk failure rates, offering space savings and improved robustness without placement constraints. Introduces eclectic striping for efficient data management.
Innovative GPU scheduling system enabling microsecond-scale preemption for DNN inferences, improving real-time task latency and overall throughput in intelligent applications like autonomous driving and virtual reality.
Explore innovative techniques for optimizing key-value stores on non-volatile main memory, addressing write stalls and improving performance through novel data structures and compaction methods.
Explore zIO, a transparent zero-copy IO mechanism that enhances performance of IO-intensive applications by eliminating unnecessary data copies and optimizing data consistency management.
Explore XRP, a framework enabling user-defined storage functions in the NVMe driver using eBPF, bypassing kernel overhead for improved throughput and latency in microsecond-scale storage devices.
Explore an innovative log-structured file system that eliminates garbage collection, improving performance and efficiency in storage management through infinite partitions and interval mapping.
Explore privacy/utility trade-offs in differential privacy through a real IRS-DOE case study, examining challenges faced by data custodians when establishing data release standards.
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