[1] A. R. Zamani, D. Balouek-Thomer, Villalobos J. J., I. Rodero, and M. Parashar, “An edge-aware autonomic runtime for data streaming and in-transit processing,” Future Generation Computer Systems, 2020, doi: 10.1016/j.future.2020.03.037.

[2] E. Chuah et al., “Using resource use data and system logs for hpc system error propagation and recovery diagnosis,” 17th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2019, doi: 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00072.

[3] E. Lyons et al., “Toward a dynamic network-centric distributed cloud platform for scientific workflows: A case study for adaptive weather sensing,” 15th eScience Conference, 2019, doi: 10.1109/eScience.2019.00015.

[4] I. Rodero et al., “Enabling data streaming-based science gateway through federated cyberinfrastructure,” Gateways 2019, 2019.

[5] A. R. Zamani, A. M., D. Balouek-Thomert, J. J. Villalobos, I. Rodero, and M. Parashar, “Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure,” Concurrency and Computation: Practice and Experience, vol. 31, Mar. 2019, doi: 10.1002/cpe.5256.

[6] M. Parashar, M. Brennan-Tonetta, I. Rodero, and J. J. Villalobos, “High performance computing at the rutgers discovery informatics institute.” 2018, [Online]. Available: https://doi.org/10.13140/RG.2.2.11579.87846.

[7] A. R. Zamani, D. Balouek-Thomert, J. J. Villalobos, I. Rodero, and M. Parashar, “Runtime management of data quality for scientific observatories using edge and in-transit resources,” 30th International Symposium on Computer Architecture and High Performance Computing, 2018, doi: 10.1109/CAHPC.2018.8645940.

[8] P. Subedi, P. E. Davis, J. J. Villalobos, I. Rodero, and M. Parashar, “Using intel optane devices for in-situ data staging in hpc workflows.” 2018, [Online]. Available: https://arxiv.org/pdf/1807.09651.pdf.

[9] J. J. Villalobos, I. Rodero, and M. Parashar, “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,” Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, pp. 103–112, Dec. 2017, doi: 10.1145/3148055.3148077.

[10] A. R. Zamani, A. M., D. Balouek-Thomert, J. J. Villalobos, I. Rodero, and M. Parashar, “Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure,” International Workshop on Clouds and (eScience) Applications Management, Dec. 2017, [Online]. Available: https://par.nsf.gov/servlets/purl/10077392.

[11] F. Puig, J. J. Villalobos, I. Rodero, and M. Parashar, “Exploring the potential of freebsd virtualization in containerized environments,” The 10th IEEE/ACM International Conference on Utility and Cloud Computing, pp. 191–192, Dec. 2017, doi: 10.1145/3147213.3149210.

[12] J. J. Villalobos, I. Rodero, and M. Parashar, “Energy-aware autonomic framework for cloud protection and self-healing,” International Conference on Cloud and Autonomic Computing, pp. 191–192, Sep. 2014, doi: 10.1109/ICCAC.2014.27.