Cargando…
CCA: Cost-Capacity-Aware Caching for In-Memory Data Analytics Frameworks
To process data from IoTs and wearable devices, analysis tasks are often offloaded to the cloud. As the amount of sensing data ever increases, optimizing the data analytics frameworks is critical to the performance of processing sensed data. A key approach to speed up the performance of data analyti...
Autores principales: | Park, Seongsoo, Jeong, Minseop, Han, Hwansoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036346/ https://www.ncbi.nlm.nih.gov/pubmed/33810417 http://dx.doi.org/10.3390/s21072321 |
Ejemplares similares
-
Cache-Aware Matrix Polynomials
por: Huber, Dominik, et al.
Publicado: (2020) -
Caching for Analysis Workloads of the ATLAS LHC experiment: Size-Aware Caching Policies
por: Popescu, Sergiu-Bogdan
Publicado: (2022) -
A primer on memory consistency and cache coherence
por: Nagarajan, Vijay, et al.
Publicado: (2020) -
Flexible use of memory by food-caching birds
por: Applegate, Marissa C, et al.
Publicado: (2022) -
PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks
por: Nguyen, Quang Ngoc, et al.
Publicado: (2019)