Robust distributed software transactions for Haskell

This thesis motivates and develops a robust distributed Software Transactional Memory (STM) library for Haskell. Many real-life applications are distributed by nature. They either control geographically wide spread hardware resources or utilize redundant hardware components to minimize system failure. STM is an abstraction for synchronizing shared resources in concurrent applications. It helps to prevent deadlocks and thus facilitates composing program code. We extend the STM abstraction to distributed systems and present an implementation efficient enough to be used in soft real-time applications. Further, the implemented library is robust in itself, offering the application developer a high abstraction level to realize robustness, hence, significantly simplifying this, in general, complex task.