An efficient data replica placement mechanism using biogeography-based optimization technique in the fog computing environment
J Taghizadeh, M Ghobaei-Arani… - Journal of Ambient …, 2023 - Springer
In recent years, the rapid growth of IoT devices has led to an increase significantly the
amount of data generated. Transferring a huge amount of datasets from IoT devices to …
amount of data generated. Transferring a huge amount of datasets from IoT devices to …
SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum
J Aznar-Poveda, T Pockstaller, T Fahringer… - Proceedings of the …, 2023 - dl.acm.org
Many time-critical and data-intensive distributed applications for the computing continuum
depend on low-latency, scalable, and highly available distributed key value storages. In this …
depend on low-latency, scalable, and highly available distributed key value storages. In this …
RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems
K Lu, N Zhao, J Wan, C Fei, W Zhao… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Modern distributed storage systems with massive data and storage nodes pose higher
requirements to the data placement strategy. Furthermore, with emerged new storage …
requirements to the data placement strategy. Furthermore, with emerged new storage …
[PDF][PDF] SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum
JA Poveda - diglib.uibk.ac.at
Many time-critical and data-intensive distributed applications for the computing continuum
depend on low-latency, scalable, and highly available distributed keyvalue stores. These …
depend on low-latency, scalable, and highly available distributed keyvalue stores. These …