A survey on collaborative learning for intelligent autonomous systems
JCSD Anjos, KJ Matteussi, FC Orlandi… - ACM Computing …, 2023 - dl.acm.org
This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …
An algorithm to minimize energy consumption and elapsed time for iot workloads in a hybrid architecture
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
Data processing model to perform big data analytics in hybrid infrastructures
Big Data applications are present in many areas such as financial markets, search engines,
stream services, health care, social networks, and so on. Data analysis provides value to …
stream services, health care, social networks, and so on. Data analysis provides value to …
Boosting big data streaming applications in clouds with BurstFlow
The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …
media, and sensor networks represents a remarkable milestone for data processing and …
Analysis and performance evaluation of deep learning on big data
KJ Matteussi, BF Zanchetta… - … IEEE Symposium on …, 2019 - ieeexplore.ieee.org
Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that
merges the dynamic processing in DL models with the computational power of the …
merges the dynamic processing in DL models with the computational power of the …
Cuckoo: Opportunistic mapreduce on ephemeral and heterogeneous cloud resources
JE Dartois, HB Ribeiro, J Boukhobza… - 2019 IEEE 12th …, 2019 - ieeexplore.ieee.org
Cloud infrastructures are generally over-provisioned for handling load peaks and node
failures. However, the drawback of this approach is that a large portion of data center …
failures. However, the drawback of this approach is that a large portion of data center …
[PDF][PDF] Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures
PRR DE SOUZA JR, GJA GRABHER, GA BORGES… - academia.edu
Big Data applications are present in many areas such as financial markets, search engines,
stream services, health care, social networks, and so on. Data analysis provides value to …
stream services, health care, social networks, and so on. Data analysis provides value to …
[PDF][PDF] Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures
V LEITHARDT - IEEE Access, 2020 - comum.rcaap.pt
Big Data applications are present in many areas such as financial markets, search engines,
stream services, health care, social networks, and so on. Data analysis provides value to …
stream services, health care, social networks, and so on. Data analysis provides value to …
TEMS: An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture
JCS dos Anjos, JLG Gross, KJ Matteussi, GV González… - 2021 - preprints.org
Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …
[PDF][PDF] Boosting Big Data Streaming Applications in Clouds with BurstFlow
PRRDES JUNIOR, KJ MATTEUSSI, A DA SILVA… - aveith.github.io
The rapid growth of stream applications in financial markets, health care, education, social
media, and sensor networks represents a remarkable milestone for data processing and …
media, and sensor networks represents a remarkable milestone for data processing and …