Big data systems meet machine learning challenges: towards big data science as a service

R Elshawi, S Sakr, D Talia, P Trunfio - Big data research, 2018 - Elsevier
Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …

Programming big data analysis: principles and solutions

L Belcastro, R Cantini, F Marozzo, A Orsino, D Talia… - Journal of Big Data, 2022 - Springer
In the age of the Internet of Things and social media platforms, huge amounts of digital data
are generated by and collected from many sources, including sensors, mobile devices …

Energy-efficient resource allocation strategy in massive IoT for industrial 6G applications

A Mukherjee, P Goswami, MA Khan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The birth of beyond 5G (B5G) and emerge of 6G have made personal and industrial
operations more reliable, efficient, and profitable, accelerating the development of the next …

A neural-network-based optimal resource allocation method for secure IIoT network

P Goswami, A Mukherjee, M Maiti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Data security and resource allocation are two important terms associated with the Internet of
Things (IoT). This recent technical evolution has made its mark in industrial applications …

Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence

J Ejarque, RM Badia, L Albertin, G Aloisio… - Future generation …, 2022 - Elsevier
Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

Blockchain-based cloudlet management for multimedia workflow in mobile cloud computing

X Xu, Y Chen, Y Yuan, T Huang, X Zhang… - Multimedia Tools and …, 2020 - Springer
For the issue of users' sensibility to the QoS (Quality of Service) of multimedia applications,
cloudlet has emerged as a novel paradigm which provides closer computing resources to …

Dynamic multi-workflow scheduling: A deadline and cost-aware approach for commercial clouds

V Arabnejad, K Bubendorfer, B Ng - Future Generation Computer Systems, 2019 - Elsevier
Cloud computing, specifically its elastic, on demand, and pay per use instances, provide an
ideal model for resourcing large scale state-of-the-art scientific analyses. Such scientific …

Cost-driven scheduling for deadline-based workflow across multiple clouds

W Guo, B Lin, G Chen, Y Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the development of cloud computing, the coexistence of multiple cloud service
providers appears in the current cloud market. Due to heterogeneous instance types …

Programming models and systems for big data analysis

L Belcastro, F Marozzo, D Talia - International Journal of Parallel …, 2019 - Taylor & Francis
Big Data analysis refers to advanced and efficient data mining and machine learning
techniques applied to large amount of data. Research work and results in the area of Big …

Scheduling workflows with composite tasks: A nested particle swarm optimization approach

A Song, WN Chen, X Luo, ZH Zhan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Scientific cloud workflows enable the access to distributed computing resources in cloud
environments for executing scientific computing applications. In the literature, most workflow …