My broad research interests concern dependability and security of distributed systems and databases, whereas my main working areas are an intersection between data-intensive systems, reliability, failure prediction, failure detection, single points of failure, uncertainty.
In the context of my research lines, as a member of the Service Engineering Analytics team, nowadays I am participating in the following research projects:
- U-Test: Testing Cyber-Physical Systems under Uncertainty
- Inter-IoT: Interoperability of Heterogeneous IoT Platforms
Before this, I also participated in:
- BigStorage: Storage-based convergence between HPC and Cloud to handle Big Data
- GMonE: Global Monitoring Environment
- SCALUS: SCALing by means of Ubiquitous Storage
- CASPER: Failure Forecasting in Complex Distributed Systems
- Bunjamin Memishi, María S. Pérez, and Gabriel Antoniu. Failure detector abstractions for MapReduce-based systems. Information Sciences, 2017.
- Bunjamin Memishi, María S. Pérez, and Gabriel Antoniu. Feedback-based resource allocation in MapReduce-based systems. Scientific Programming, 2016.
- Bunjamin Memishi. Optimizing the reliability and resource efficiency of MapReduce-based systems. Doctoral thesis, 2016.
- Bunjamin Memishi, María S. Pérez, and Gabriel Antoniu. Diarchy: An Optimized Management Approach for MapReduce Masters. International Conference On Computational Science (ICCS), 2015.
- Jesús Montes, Alberto Sánchez, Bunjamin Memishi, María S. Pérez, and Gabriel Antoniu. GMonE: A complete approach to cloud monitoring. Future Generation Computer Systems (FGCS), 2013.