Short CV
I am a research scientist in distributed systems at TU Wien. Currently, I am working on uncertainty issues of IoT cloud systems.
Prior to joining TU Wien, I have taken knowledge and experience at Universidad Politécnica de Madrid, Inria, Università degli Studi di Roma "La Sapienza", South East European University.
Research Interests
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.
Projects
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
Selected Publications
- 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.