The invention discloses a large-data clustering algorithm based on a cloud computing platform. Primitive data is pre-processed; data are divided into M sub-data and distributed to M Map functions and local clustering is carried out on the sub-data; clusters with the same key are combined; ...
Cloud computing data management technology can efficiently manage large datasets and how to find specific data in massive data. Bigtable is a classic cloud computing data management technology. It is one of the most representative system platforms of cloud computing and a distributed system framework....
The big data paradigm [33] however, has attracted the attention of researchers making it clear that the DBSCAN algorithm is not very efficient in analysing large volume data while running on a single machine. Cloud computing technology [1] is, therefore, a better solution for analysing such a ...
Clustering and parallel indexing of big IoT data in the fog-cloud computing level 2022, Transactions on Emerging Telecommunications Technologies Evaluation of clustering algorithms on hpc platforms 2021, Mathematics Fusing Visual Features and Metadata to Detect Flooding in Flickr Images 2020, 2020 Digital...
El Motaki S, Yahyaouy A, Gualous H et al (2021) (2021) A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms. Cluster Comput 24:3367–3379. https://doi.org/10.1007/s10586-021-03331-2 Article Google Scholar Freeze RA, Cherry JA (1997) Ground...
The indispensable integration of Recommender Systems (RSs) into our daily lives is undeniable, given their wide spread involvement in diverse activities ranging from social network interactions to shopping decisions and entertainment choices on streaming platforms. While the recommendation problem was historic...
access patterns made to each fragment. On the same page, an enhanced approach to split data at the initial stage of DDBS design and then assign data at runtime over the cloud environment was proposed in [13]. The data replication scenario was adopted in a way that allowed DDBSMs to work...
(ii) The redundancy reads data is high, mainly relying on sequencing coverage of diverse platforms. (iii) Homologous species reads data retains heightened similitude. Recently, reference-based and reference-free dedicated genomic sequencing reads compressors have been pro- posed by taking full ...
Selection of appropriate platforms, identification of threats, change of pace, lack of proper understanding and stability, absence of global standards along with internal and external stakeholders including vendors form the population for this survey. According to the IoT meet Big Data Analytics Survey ...
The lack of global Edge/Fog service providers offering infrastructure on pay-as-you-go models like commercial Cloud platforms such as Microsoft Azure and Amazon AWS further forces researchers to set up real Edge/Fog computing environments by themselves for costly policy evaluation. Additionally, the ...