| 2019 | A Framework for SLO-driven Cloud Specification and Brokerage. | Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker |
| 2019 | On Cost-Driven Computation Offloading in the Edge: A New Model Approach. | Mingzhe Du, Yang Wang, Cheng-Zhong Xu |
| 2019 | Fuzzy Matching: Hardware Accelerated MPI Communication Middleware. | Matthew G. F. Dosanjh, Whit Schonbein, Ryan E. Grant, Patrick G. Bridges, S. Mahdieh Ghazimirsaeed, Ahmad Afsahi |
| 2019 | Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. | Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III |
| 2019 | An Intelligent, Adaptive, and Flexible Data Compression Framework. | Hariharan Devarajan, Anthony Kougkas, Xian-He Sun |
| 2019 | Mobile Smart-Contract Lifecycle Governance with Incentivized Proof-of-Stake for Oligopoly-Formation Prevention. | Vipin Deval, Alex Norta |
| 2019 | Scalability of the NewMadeleine Communication Library for Large Numbers of MPI Point-to-Point Requests. | Alexandre Denis |
| 2019 | Effective and Efficient Big Data Management in Distributed Environments: Models, Issues, and Research Perspectives. | Alfredo Cuzzocrea |
| 2019 | Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems? | Nathanal Cheriere, Matthieu Dorier, Gabriel Antoniu |
| 2019 | Optimizing Performance and Computing Resource Management of In-memory Big Data Analytics with Disaggregated Persistent Memory. | Shouwei Chen, Wensheng Wang, Xueyang Wu, Zhen Fan, Kunwu Huang, Peiyu Zhuang, Yue Li, Ivan Rodero, Manish Parashar, Dennis Z. Weng |
| 2019 | Enabling Large Scale Data Production for OpenDose with GATE on the EGI Infrastructure. | Maxime Chauvin, Gilles Mathieu, Sorina Camarasu-Pop, Axel Bonnet, Manuel Bardies, Isabelle Perseil |
| 2019 | Towards Securing Data Transfers Against Silent Data Corruption. | Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Hadi Gunes, Engin Arslan |
| 2019 | Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations. | Aurlien Cavelan, Rubn M. Cabezn, Florina M. Ciorba |
| 2019 | Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. | Adrin Castell, Manuel F. Dolz, Enrique S. Quintana-Ort, Jos Duato |
| 2019 | One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. | Danilo Carastan-Santos, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui |
| 2019 | ESprint: QoS-Aware Management for Effective Computational Sprinting in Data Centers. | Haoran Cai, Qiang Cao, Feng Sheng, Yang Yang, Changsheng Xie, Liang Xiao |
| 2019 | Autotuning Under Tight Budget Constraints: A Transparent Design of Experiments Approach. | Pedro Bruel, Steven Quinito Masnada, Brice Videau, Arnaud Legrand, Jean-Marc Vincent, Alfredo Goldman |
| 2019 | Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer |
| 2019 | On Distributed Collaboration for Biomedical Analyses. | Fatima-Zahra Boujdad, Alban Gaignard, Mario Sdholt, Wilmer Garzn Alfonso, Luis Daniel Benavides Navarro, Richard Redon |
| 2019 | A Performance Driven Micro Services-Based Architecture/System for Analyzing Noisy IoT Data. | Miodrag Bolic, Shikharesh Majumdar |
| 2019 | Exploiting Stream Parallelism of MRI Reconstruction Using GrPPI over Multiple Back-Ends. | Javier Garca Blas, David del Rio Astorga, Javier Daniel Garcia, Jess Carretero |
| 2019 | Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. | Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor |
| 2019 | Reproducible Scientific Workflows for High Performance and Cloud Computing. | Felix Bartusch, Maximilian Hanussek, Jens Krger, Oliver Kohlbacher |
| 2019 | Miracle: An Agile Colocation Platform for Enabling XaaS Cloud Architecture. | Mukhtiar Bano, Umar Ahmad Qureshi, Rao Naveed Bin Rais, Mudassir Tufail, Amir Qayyum |
| 2019 | Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. | Ammar Ahmad Awan, Jeroen Bdorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda |