Saved in:
| Main Authors: | Morvan, Hugo, Agholme, Jonas, Eliasson, Bjorn, Olofsson, Katarina, Grote, Ludger, Iredahl, Fredrik, Sysoev, Oleg |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.21613 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Big Data Energy Systems: A Survey of Practices and Associated Challenges
by: Mwinuka, Lunodzo J., et al.
Published: (2025)
by: Mwinuka, Lunodzo J., et al.
Published: (2025)
Big Data Architecture for Large Organizations
by: Ismail, Fathima Nuzla, et al.
Published: (2025)
by: Ismail, Fathima Nuzla, et al.
Published: (2025)
Trustworthy Scheduling for Big Data Applications
by: Tomaras, Dimitrios, et al.
Published: (2026)
by: Tomaras, Dimitrios, et al.
Published: (2026)
BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)
by: Sengupta, Rahul, et al.
Published: (2026)
Advancing Polyglot Big Data Processing using the Hadoop ecosystem
by: Seabra, Antony, et al.
Published: (2025)
by: Seabra, Antony, et al.
Published: (2025)
Analysis of Server Throughput For Managed Big Data Analytics Frameworks
by: Anagnostakis, Emmanouil, et al.
Published: (2025)
by: Anagnostakis, Emmanouil, et al.
Published: (2025)
A Taxonomy of Schedulers -- Operating Systems, Clusters and Big Data Frameworks
by: Sliwko, Leszek
Published: (2025)
by: Sliwko, Leszek
Published: (2025)
Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
by: Will, Jonathan, et al.
Published: (2025)
by: Will, Jonathan, et al.
Published: (2025)
A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications
by: Chandra, Ritesh, et al.
Published: (2025)
by: Chandra, Ritesh, et al.
Published: (2025)
A unified framework to improve the interoperability between HPC and Big Data languages and programming models
by: Piñeiro, César, et al.
Published: (2021)
by: Piñeiro, César, et al.
Published: (2021)
Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
Unveiling Crowdfunding Futures: Analyzing Campaign Outcomes through Distributed Models and Big Data Perspectives
by: Pipitò, Giuseppe, et al.
Published: (2024)
by: Pipitò, Giuseppe, et al.
Published: (2024)
A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication
by: Gregoriadis, Marcel, et al.
Published: (2024)
by: Gregoriadis, Marcel, et al.
Published: (2024)
Parallel Writing of Nested Data in Columnar Formats
by: Hahnfeld, Jonas, et al.
Published: (2024)
by: Hahnfeld, Jonas, et al.
Published: (2024)
Demystifying Object-based Big Data Storage Systems
by: Mondal, Anindita Sarkar, et al.
Published: (2024)
by: Mondal, Anindita Sarkar, et al.
Published: (2024)
Towards Serverless Processing of Spatiotemporal Big Data Queries
by: Baumann, Diana, et al.
Published: (2025)
by: Baumann, Diana, et al.
Published: (2025)
Analysis of Distributed Algorithms for Big-data
by: Purohit, Rajendra, et al.
Published: (2024)
by: Purohit, Rajendra, et al.
Published: (2024)
Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
by: Bhawiyuga, Adhitya, et al.
Published: (2025)
by: Bhawiyuga, Adhitya, et al.
Published: (2025)
An Integrated (Crop Model, Cloud and Big Data Analytic) Framework to support Agriculture Activity Monitoring System
by: Akhter, Shamim, et al.
Published: (2024)
by: Akhter, Shamim, et al.
Published: (2024)
OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
by: Chandra, Ritesh, et al.
Published: (2025)
by: Chandra, Ritesh, et al.
Published: (2025)
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
by: Li, Chen, et al.
Published: (2024)
by: Li, Chen, et al.
Published: (2024)
Application of cloud computing platform in industrial big data processing
by: Yao, Ziyan
Published: (2024)
by: Yao, Ziyan
Published: (2024)
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
by: Lyu, Chenghao, et al.
Published: (2022)
by: Lyu, Chenghao, et al.
Published: (2022)
Applying Large-Scale Distributed Computing to Structural Bioinformatics -- Bridging Legacy HPC Clusters With Big Data Technologies Using kafka-slurm-agent
by: Rubach, Pawel
Published: (2025)
by: Rubach, Pawel
Published: (2025)
Advancing Blockchain Scalability: A Linear Optimization Framework for Diversified Node Allocation in Shards
by: Assmann, Björn, et al.
Published: (2024)
by: Assmann, Björn, et al.
Published: (2024)
MAGNUS: Generating Data Locality to Accelerate Sparse Matrix-Matrix Multiplication on CPUs
by: Wolfson-Pou, Jordi, et al.
Published: (2025)
by: Wolfson-Pou, Jordi, et al.
Published: (2025)
Cyberattack Data Analysis in IoT Environments using Big Data
by: Patidar, Neelam, et al.
Published: (2024)
by: Patidar, Neelam, et al.
Published: (2024)
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
by: Bouvier, Thomas, et al.
Published: (2024)
by: Bouvier, Thomas, et al.
Published: (2024)
Automatic Tracing in Task-Based Runtime Systems
by: Yadav, Rohan, et al.
Published: (2024)
by: Yadav, Rohan, et al.
Published: (2024)
An OPC UA-based industrial Big Data architecture
by: Hirsch, Eduard, et al.
Published: (2023)
by: Hirsch, Eduard, et al.
Published: (2023)
SIREN: Software Identification and Recognition in HPC Systems
by: Jakobsche, Thomas, et al.
Published: (2025)
by: Jakobsche, Thomas, et al.
Published: (2025)
Switchboard: An Open-Source Framework for Modular Simulation of Large Hardware Systems
by: Herbst, Steven, et al.
Published: (2024)
by: Herbst, Steven, et al.
Published: (2024)
What can be computed in average anonymous networks?
by: Rybicki, Joel, et al.
Published: (2026)
by: Rybicki, Joel, et al.
Published: (2026)
Multi-GPU Acceleration of PALABOS Fluid Solver using C++ Standard Parallelism
by: Latt, Jonas, et al.
Published: (2025)
by: Latt, Jonas, et al.
Published: (2025)
Composing Distributed Computations Through Task and Kernel Fusion
by: Yadav, Rohan, et al.
Published: (2024)
by: Yadav, Rohan, et al.
Published: (2024)
High-Performance Star-M SVD for Big Data Compression
by: Hussain, Md Taufique, et al.
Published: (2026)
by: Hussain, Md Taufique, et al.
Published: (2026)
Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
by: Srivastava, Ashish, et al.
Published: (2024)
by: Srivastava, Ashish, et al.
Published: (2024)
Big Data Intelligence Using Distributed Deep Neural Networks
by: Ongati, Felix, et al.
Published: (2019)
by: Ongati, Felix, et al.
Published: (2019)
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster
by: Gu, Jianfeng, et al.
Published: (2025)
by: Gu, Jianfeng, et al.
Published: (2025)
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
Similar Items
-
Big Data Energy Systems: A Survey of Practices and Associated Challenges
by: Mwinuka, Lunodzo J., et al.
Published: (2025) -
Big Data Architecture for Large Organizations
by: Ismail, Fathima Nuzla, et al.
Published: (2025) -
Trustworthy Scheduling for Big Data Applications
by: Tomaras, Dimitrios, et al.
Published: (2026) -
BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026) -
Advancing Polyglot Big Data Processing using the Hadoop ecosystem
by: Seabra, Antony, et al.
Published: (2025)