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 6 of 6 for “"in-memory storage"”.
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Fast in-memory storage systems : two aspects
This dissertation addresses two challenges relating to in-memory storage systems. The first challenge is storing and retrieving data at a rate close to the capabilities of the underlying memory system, particularly in the face of parallel accesses from multiple cores. We present Masstree, a high …
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Using low latency storage to improve RDF store performance
… Description Framework (RDF) is a flexible, increasingly popular data model that allows for simple representation of arbitrarily structured information. This flexibility allows it to act as an effective underlying data model for the growing Semantic Web. Unfortunately, it remains a challenge …
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Memory processing of novel experiences in the hippocampus
The hippocampus is a brain structure critical for learning and memory. With limited resources, memory processing in the hippocampus must involve extraction of useful information from daily experiences. A potential factor in this selection may be novelty of incoming information. To avoid redundancy …
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ADVANCED IMPLEMENTATIONS OF THE ITERATIVE MULTI REGION TECHNIQUE
<p>The integration of the finite-difference time-domain (FDTD) method into the iterative multi-region (IMR) technique, an iterative approach used to solve large-scale electromagnetic scattering and radiation problems, is presented in this dissertation. The idea of the IMR technique is to divide a …
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Systems and Techniques for Efficient Real-World Graph Analytics
… entities and relationships between them, ranging from social networks and biological datasets to cloud computing infrastructure data lineage graphs. Queries over these large graphs often involve expensive subgraph traversals and complex analytical computations. Furthermore, real-world graphs …
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Towards interactive analytics over voluminous spatiotemporal data using a distributed, in-memory framework
… data sources, driven by advancements in sensor networks, simulations, and observational devices, has reached unprecedented levels. This surge in data generation and the demand for proper storage has been met with extensive research and development in distributed storage systems, …