[HTML][HTML] Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
Due to the rapid growth of available data, various platforms offer parallel infrastructure that
efficiently processes big data. One of the critical issues is how to use these platforms to …
efficiently processes big data. One of the critical issues is how to use these platforms to …
EVOLVE: Towards converging big-data, high-performance and cloud-computing worlds
A Tzenetopoulos, D Masouros… - … , Automation & Test …, 2022 - ieeexplore.ieee.org
EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-
Computing (HPC) hardware with state-of-the-art software technologies under a unique …
Computing (HPC) hardware with state-of-the-art software technologies under a unique …
Learning-Based Dynamic Memory Allocation Schemes for Apache Spark Data Processing
Apache Spark is an in-memory analytic framework that has been adopted in the industry and
research fields. Two memory managers, Static and Unified, are available in Spark to allocate …
research fields. Two memory managers, Static and Unified, are available in Spark to allocate …
On the Implications of Heterogeneous Memory Tiering on Spark In-Memory Analytics
M Katsaragakis, D Masouros… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Today, the rise of big data has driven a growing demand for efficient and scalable computing
solutions that can handle the massive amounts of data generated by modern applications …
solutions that can handle the massive amounts of data generated by modern applications …
[PDF][PDF] Deep Learning techniques for system optimization in Cloud architectures
D Masouros - 2023 - dspace.lib.ntua.gr
Nowadays, Cloud computing is becoming one of the most attractive solutions for application
execution, due to the enhanced flexibility and efficiency it offers. Cloud computing refers to …
execution, due to the enhanced flexibility and efficiency it offers. Cloud computing refers to …
Multi-objective query optimization in Spark SQL
M Georgoulakis Misegiannis, V Kantere… - Proceedings of the 26th …, 2022 - dl.acm.org
Query optimization is a challenging process of DBMSs. When tackling query optimization in
the cloud, there exists a simultaneous need of providing an optimal physical query execution …
the cloud, there exists a simultaneous need of providing an optimal physical query execution …
[PDF][PDF] Multi-objective query optimization in Spark SQL
M Georgoulakis, V Kantere… - IDEAS 2022-International …, 2022 - inria.hal.science
Query optimization is a challenging process of DBMSs. When tackling query optimization in
the cloud, there exists a simultaneous need of providing an optimal physical query execution …
the cloud, there exists a simultaneous need of providing an optimal physical query execution …