J. J. Villalobos
Cited by
Cited by
Toward a dynamic network-centric distributed cloud platform for scientific workflows: A case study for adaptive weather sensing
E Lyons, G Papadimitriou, C Wang, K Thareja, P Ruth, JJ Villalobos, ...
2019 15th International Conference on eScience (eScience), 67-76, 2019
An unsupervised approach for online detection and mitigation of high-rate DDoS attacks based on an in-memory distributed graph using streaming data and analytics
JJ Villalobos, I Rodero, M Parashar
Proceedings of the Fourth IEEE/ACM International Conference on Big Data …, 2017
Energy-aware autonomic framework for cloud protection and self-healing
JJ Villalobos, I Rodero, M Parashar
2014 International Conference on Cloud and Autonomic Computing, 3-4, 2014
Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure
AR Zamani, M AbdelBaky, D Balouek‐Thomert, JJ Villalobos, I Rodero, ...
Concurrency and Computation: Practice and Experience 32 (16), e5256, 2020
Using resource use data and system logs for HPC system error propagation and recovery diagnosis
E Chuah, A Jhumka, S Alt, JJ Villalobos, J Fryman, W Barth, M Parashar
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2019
Exploring the potential of freebsd virtualization in containerized environments
FX Puig, JJ Villalobos, I Rodero, M Parashar
Proceedings of the10th International Conference on Utility and Cloud …, 2017
Enabling data streaming-based science gateways through federated cyberinfrastructure
I Rodero, Y Qin, J Valls, A Simonet, JJ Villalobos, M Parashar, C Youn, ...
Gateways 2019, 2019
Runtime management of data quality for scientific observatories using edge and in-transit resources
AR Zamani, D Balouek-Thomert, JJ Villalobos, I Rodero, M Parashar
2018 30th International Symposium on Computer Architecture and High …, 2018
High performance computing at the rutgers discovery informatics institute
M Parashar, M Brennan-Tonetta, I Rodero, J Villalobos
Technical report, Rutgers University, 2018
Using intel optane devices for in-situ data staging in hpc workflows
P Subedi, PE Davis, JJ Villalobos, I Rodero, M Parashar
arXiv preprint arXiv:1807.09651, 2018
Application aware software defined flows of workflow ensembles
G Papadimitriou, E Lyons, C Wang, K Thareja, R Tanaka, P Ruth, ...
2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 10-21, 2020
An edge-aware autonomic runtime for data streaming and in-transit processing
AR Zamani, D Balouek-Thomert, JJ Villalobos, I Rodero, M Parashar
Future Generation Computer Systems 110, 107-118, 2020
Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows
G Papadimitriou, C Wang, E Lyons, K Thareja, P Ruth, JJ Villalobos, ...
Handbook of Dynamic Data Driven Applications Systems: Volume 2, 835-868, 2023
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Articles 1–13