Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Lucani, Daniel E."'
Autor:
Rask, Christian D., Lucani, Daniel E.
We introduce RAGE, an image compression framework that achieves four generally conflicting objectives: 1) good compression for a wide variety of color images, 2) computationally efficient, fast decompression, 3) fast random access of images with pixe
Externí odkaz:
http://arxiv.org/abs/2402.05974
Exponential growth in data collection is creating significant challenges for data storage and analytics latency.Approximate Query Processing (AQP) has long been touted as a solution for accelerating analytics on large datasets, however, there is stil
Externí odkaz:
http://arxiv.org/abs/2401.12018
Data compression algorithms typically rely on identifying repeated sequences of symbols from the original data to provide a compact representation of the same information, while maintaining the ability to recover the original data from the compressed
Externí odkaz:
http://arxiv.org/abs/2308.03623
Exponential growth in the amount of data generated by the Internet of Things currently pose significant challenges for data communication, storage and analytics and leads to high costs for organisations hoping to leverage their data. Novel techniques
Externí odkaz:
http://arxiv.org/abs/2304.07240
Publikováno v:
2023 IEEE International Conference on Communications (ICC): SAC Cloud Computing, Networking and Storage Track (IEEE ICC'23 - SAC-02 CCNS Track)
The number of IoT devices is expected to continue its dramatic growth in the coming years and, with it, a growth in the amount of data to be transmitted, processed and stored. Compression techniques that support analytics directly on the compressed d
Externí odkaz:
http://arxiv.org/abs/2303.04478
Modern in-memory databases are typically used for high-performance workloads, therefore they have to be optimized for small memory footprint and high query speed at the same time. Data compression has the potential to reduce memory requirements but o
Externí odkaz:
http://arxiv.org/abs/2209.02334
Cloud Service Providers (CSPs) offer a vast amount of storage space at competitive prices to cope with the growing demand for digital data storage. Dual deduplication is a recent framework designed to improve data compression on the CSP while keeping
Externí odkaz:
http://arxiv.org/abs/2202.13925
We consider the problem of sharing sensitive or valuable files across users while partially relying on a common, untrusted third-party, e.g., a Cloud Storage Provider (CSP). Although users can rely on a secure peer-to-peer (P2P) channel for file shar
Externí odkaz:
http://arxiv.org/abs/2201.10839
Autor:
Hudson, Nathaniel, Khamfroush, Hana, Baughman, Matt, Lucani, Daniel E., Chard, Kyle, Foster, Ian
Publikováno v:
In Future Generation Computer Systems August 2024 157:250-263
High frame-corruption is widely observed in Long Range Wide Area Networks (LoRaWAN) due to the coexistence with other networks in ISM bands and an Aloha-like MAC layer. LoRa's Forward Error Correction (FEC) mechanism is often insufficient to retrieve
Externí odkaz:
http://arxiv.org/abs/2107.08868