Big data analytics in Cloud computing: an overview

B Berisha, E Mëziu, I Shabani - Journal of Cloud Computing, 2022 - Springer
… By too hard it means the difficulty that arises as a result the data not adapting to the existing
Efficiency improvements - Big Data can improve operational efficiency by a margin. Big …

Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm

Z Liao, J Peng, B Xiong, J Huang - Journal of Cloud Computing, 2021 - Springer
… has made full use of the latency performance gain brought by the increase of device CPU
frequency. PROMOT is more insensitive to the increase of device CPU frequency since it …

[PDF][PDF] FHCS: Hybridised optimisation for virtual machine migration and task scheduling in cloud data center.

BB Naik, D Singh, AB Samaddar - IET Commun., 2020 - scholar.archive.org
… Abstract: Cloud computing and virtualisation are recent … The reduction of DC's energy
usage and enhancement of … which have less number of adaptable parameters. That is why …

Blockchain meets cloud computing: A survey

K Gai, J Guo, L Zhu, S Yu - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
cloud systems has a great potential in both functionality/performance enhancement and
security/privacy improvement… An ODP manner offers adaptable and scalable service scope, from …

Taurus database: How to be fast, available, and frugal in the cloud

A Depoutovitch, C Chen, J Chen, P Larson… - … Management of Data, 2020 - dl.acm.org
… it is optimized for running in a cloud environment. … the performance improvement. We believe
that the replacement of quorum-based replication with the novel Taurus replication strategy

Adaptive HTAP through elastic resource scheduling

A Raza, P Chrysogelos, AC Anadiotis… - … on Management of Data, 2020 - dl.acm.org
… has more socket-local data than in 𝑆3 −𝐼𝑆 where data are read from the … performance
improvement due to the use of data-local compute resources allowing OLAP to transfer less data

An efficient parallel optimization method for large model based on cloud computing

Z Xu - … on Electronic Information Engineering and Data …, 2024 - spiedigitallibrary.org
… of large language models in cloud computing, adapting to the burgeoning resource demands
… incremental enhancement strategies, we have not only improved computational efficiency

A systematic review on cloud storage mechanisms concerning e-healthcare systems

A Tahir, F Chen, HU Khan, Z Ming, A Ahmad, S Nazir… - Sensors, 2020 - mdpi.com
… Before the advent of cloud computing, data used to be stored … Due to adaptive data placement
accordingly to the stats of datadata replication strategy to improve access efficiency of …

A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments

L Abualigah, A Diabat - Cluster Computing, 2021 - Springer
… using the crossover operator and self-adapting mutation of evolution strategy. Based on the
… machines in the cloud computing ecosystem in an effective way. To improve the production …

AI-driven cloud security: Examining the impact of user behavior analysis on threat detection

SO Olabanji, Y Marquis, CS Adigwe… - Asian Journal of …, 2024 - papers.ssrn.com
performance. These findings suggest the necessity of a hybrid security strategy in cloud
computing. … benefit from continuous learning and improvement, adapting to evolving threats and …