Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Deduplication"”.
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Dataset Deduplication with Datamodels
Large curated datasets have been essential to the development of deep learning models across many disciplines. Consequently, the properties of these datasets have a large impact on the behavior of these models. As machine learning pipelines increasingly leverage more unlabelled datasets—which tend …
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Hardware acceleration of NetApp virtual tape library deduplication algorithm
… an FPGA version of an algorithm used in the deduplication of backup storage data, to compare its performance to a software implementation of the algorithm. This algorithm flags sections of data with identifiers called "anchors". "Anchors" can be compared across versions of backup data, and if …
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Harnessing metadata characteristics for efficient deduplication in distributed storage Systems
… storage system which selectively performs deduplication across each of the independent computers, known as nodes, used for storage. This involves analyzing the contents of each node for objects with characteristics more likely to have duplicates elsewhere, particularly using duplication …
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An efficient data deduplication design with flash-memory based solid state drive.
… portion of this created data is redundant. Data deduplication is a prevailing technique used to identify and eliminate redundant data, so as to reduce the space requirement for both primary file systems and data backups. The variety of objectives in a deduplication system design is the primary …
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Towards Data Optimization in Storages and Networks
… applications, systems, and communication models. Deduplication is a technique to reduce data volume by removing redundancies. Reliability will be even improved when data is replicated after deduplication. Many deduplication studies such as storage data deduplication and network redundancy …
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Cutting the datacenter tax in heterogeneous systems: a coherence-spectrum approach
… and optimization features such as memory deduplication and compressed swapping, and a network tax from end-host processing that surrounds the NIC rather than the packet transmission itself. This thesis reduces these taxes by relocating data-plane work to the most suitable devices in …
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Understanding the fault-tolerance properties of large-scale storage systems
… the complex requirements. New technologies, like deduplication, promise improved storage efficiency, but their impact on reliability measures is unclear due to the complex relationships inherent to the systems that employ these technologies. Additionally, as systems scale up, they become subject …
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Building and processing a dataset containing articles related to food adulteration
… reforumulation, and entity extraction and text deduplication. All proposed algorithms were implemented in Python, and performance was evaluated on multiple datasets. Methods described in this thesis can be generalized to other applications as well.
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Towards a Flexible High-efficiency Storage System for Containerized Applications
… containerized applications. Moreover, existing deduplication techniques significantly degrade the performance of registries, which will slow down the container startup time. Therefore, there is growing demand for high storage efficiency and high-performance registry storage systems. Last but not …
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Towards Secure Outsourced Data Services in the Public Cloud
… Our first work centers on the secure chunk-based deduplication of encrypted data for cloud backup and achieves the performance comparable to the plaintext cloud storage deduplication while effectively mitigating the information leakage from the low-entropy chunks. On the other hand, we …
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Progressive browsing-state delivery for interactive multimedia exploration
… Media Model. Our study shows that moving deduplication and grouping operators from the database to the server, coupled with a batched streaming strategy, reduces time-to-first-byte by over 90% for heavy queries while maintaining steady improvements in result quality. Our examination of the …
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SLO-aware optimization and stateful orchestration for LLM systems
… graph-based checkpointing, forking engines, and deduplication of partial executions. Together, these works chart a path toward a unified, efficient, and fault-tolerant infrastructure for the next generation of AI applications.
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Practical Exploit Mitigation Design Against Code Re-Use and System Call Abuse Attacks
… to abandon the hope of upholding memory deduplication. MARDU resolves this challenge by applying trampolines to securely reach functions protected under secure memory. Even with this new calling convention in place, MARDU shows re-randomization degradation can be significantly reduced …
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A framework for programming and optimizing temporal graph neural networks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms