Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage
(2024)
Journal Article
Davies-Tagg, D., Anjum, A., Zahir, A., Liu, L., Yaseen, M. U., & Antonopoulos, N. (2024). Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage. Big Data Mining and Analytics, 7(2), 371-398. https://doi.org/10.26599/bdma.2023.9020039
Data temperature is a response to the ever-growing amount of data. These data have to be stored, but they have been observed that only a small portion of the data are accessed more frequently at any one time. This leads to the concept of hot and cold... Read More about Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage.