Encontrados 30 documentos, a visualizar página 1 de 3
Apriori-Roaring-Parallel: Frequent pattern mining based on compressed bitmaps w...
Colombo, Alexandre [UNESP]; Spolon, Roberta [UNESP]; Lobato, Renata Spolon [UNESP]; Manacero, Aleardo [UNESP]; Cavenaghi, Marcos AntonioMade available in DSpace on 2022-04-29T08:38:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Mining association rules is a process which consists in extracting knowledge from datasets. This is a widely used technique to analyze customer purchasing patterns, and its process is segmented in two main phases: mining frequent sets and formulating association rules. Several approaches were developed ...
Using a threaded framework to enable practical activities in Operating Systems ...
Manacero, Aleardo [UNESP]; Lobato, Renata Spolon [UNESP]Made available in DSpace on 2022-04-29T07:13:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-12-01; Teaching Operating Systems (OS) is a rather hard task, since being an OS designer is not a desired goal for most students and the subject demands a large amount of knowledge over system's details. To reduce the difficulty many courses are planned with laboratory practices, differing in how the practices...
Particle Swarm Algorithm Parameters Analysis for Scheduling Virtual Machines in...
De Silva, Wellington Francisco [UNESP]; Spolon, Roberta [UNESP]; Lobato, Renata Spolon [UNESP]; Junior, Aleardo Manacero [UNESP]Made available in DSpace on 2022-04-30T23:49:54Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-06-01; The computational demand of recent years has made a new computational paradigm become extremely necessary to meet the demand for resources. Cloud computing has been widely used and is a reality in all sectors that demand computational use allied with security and with ease of management. Gigantic data c...
Faults in Cloud Environment
Lobato, Renata Spolon [UNESP]; Da Silva, Fabio Amorim [UNESP]; Spolon, Roberta [UNESP]; Manacero, Aleardo [UNESP]; Tamashiro, Camila Baleiro OkadoMade available in DSpace on 2022-05-01T09:30:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-23; Cloud computing is an area in great expansion in the recently years and have begin to be indispensable for greatest majority of world population, even for those who do not work directly on technical areas. One of the greatest challenge in this field encompass the planning of systems in a way to decrease...
Mining negative rules: A literature review focusing on performance
Colombo, Alexandre [UNESP]; Spolon, Roberta [UNESP]; Lobato, Renata Spolon [UNESP]; Manacero, Aleardo [UNESP]; Cavenaghi, Marcos AntonioMade available in DSpace on 2022-05-01T09:30:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-23; Mining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the generation of so-called negative rules which result in associations of great inte...
Simulation Platform on Distributed Shared Memory
Lobato, Renata Spolon [UNESP]; Spolon, Roberta [UNESP]; Simioni, Bruno [UNESP]; Manacero, Aleardo [UNESP]; Cavenaghi, Marcos AntonioMade available in DSpace on 2022-05-01T09:30:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-23; This document presents the work related to a simulation event driven platform, Darfia, engineered through the use of distributed and shared memory (DSM) using the framework Terracotta DSO, in order to facilitate the construction, maintenance and analysis of this kind of approach to the local and distrib...
Parallel fuzzy minimals on GPU
Manacero, Aleardo [UNESP]; Guariglia, Emanuel [UNESP]; de Souza, Thiago Alexandre [UNESP]; Lobato, Renata Spolon [UNESP]; Spolon, Roberta [UNESP]Made available in DSpace on 2022-05-01T14:35:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-03-01; Clustering is a classification method that organizes objects into groups based on their similarity. Data clustering can extract valuable information, such as human behavior, trends, and so on, from large datasets by using either hard or fuzzy approaches. However, this is a time-consuming problem due to ...
Particle Swarm Algorithm Parameters Analysis for Scheduling Virtual Machines in...
Silva, Wellington Francisco da [UNESP]; Spolon, Roberta [UNESP]; Lobato, Renata Spolon [UNESP]; Manacero Junior, Aleardo [UNESP]Made available in DSpace on 2021-06-25T12:35:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; The computational demand of recent years has made a new computational paradigm become extremely necessary to meet the demand for resources. Cloud computing has been widely used and is a reality in all sectors that demand computational use allied with security and with ease of management. Gigantic data c...
Cloud Fault Modeling
Okado Tamashiro, Camila Baleiro; Spolon, Roberta [UNESP]; Lobato, Renata Spolon [UNESP]; Manacero Junior, Aleardo [UNESP]; Cavenaghi, Marcos AntonioMade available in DSpace on 2021-06-25T12:35:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; In this work, fault modeling for simulators that work in the infrastructure as a service of the cloud computing architecture is presented. Due to the increased demand for online services and solutions, cloud computing has grown exponentially in recent years, as has the storage of your information, its s...
Improving virtual machine consolidation for heterogeneous cloud computing datac...
Rodrigues, Joao Antonio Magri [UNESP]; De Oliveira, Fabiola Martins C.; Lobato, Renata Spolon [UNESP]; Spolon, Roberta [UNESP]Made available in DSpace on 2020-12-12T01:50:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-10-01; Datacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes ...