Michael Eischer

Michael Eischer is a researcher at the Chair of Computer Science 4 (System Software) within the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He has been actively involved in teaching exercises for courses including Middleware - Cloud Computing and Verteilte Systeme (Distributed Systems) from Winter semester 2016/17 through Winter semester 2021/22. His academic work culminated in the 2024 dissertation titled Geo-Replicated Byzantine Fault-Tolerant State-Machine Replication with Low Latency.

Dr. Eischer's research focuses on distributed systems with particular emphasis on Byzantine Fault Tolerance, geo-replication, and low-latency state-machine replication. His work addresses critical challenges in cloud computing environments where fault tolerance and performance must be balanced effectively. His research has significant implications for building reliable and efficient distributed systems that can withstand malicious failures while maintaining acceptable performance levels across geographically dispersed data centers.

Analysis of his publication record reveals a consistent research trajectory focused on improving Byzantine Fault Tolerant (BFT) systems. Starting with foundational work on scalable BFT on heterogeneous servers (2017), he progressed to address specific challenges including latency-aware leader selection (2018), efficient checkpointing mechanisms (2019), and ultimately developing comprehensive solutions for geo-replicated BFT systems with low latency (2024). His research demonstrates an evolution from theoretical foundations to practical implementations, with recent work culminating in the SPIDER architecture for geo-replicated cloud services.

Scientific Awards:

• Best Student Paper Award at Middleware 2020 for Resilient Cloud-based Replication with Low Latency

Dr. Eischer has made significant contributions to the field of distributed systems through his extensive publication record in top-tier conferences including Middleware, PRDC, SRDS, EDCC, and DSN. His work on Byzantine Fault Tolerance has been consistently published in premier venues for dependable computing. While specific grant information isn't detailed in the available materials, his research output suggests involvement in projects related to reliable distributed systems, likely supported by institutional or collaborative funding mechanisms.

As part of the Chair of Computer Science 4 (System Software) at FAU, Dr. Eischer works within a research environment focused on system software with applications in dependable distributed computing. His work contributes to FAU's strong research profile in computer science, particularly in areas of systems research with practical applications in cloud infrastructure and distributed services.