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Failure detection plays a central role in the engineering of distributed systems. Furthermore, many applications have timing constraints and require failure detectors that provide quality of service (QoS) with some quantitative timeliness guarante es. Therefore, they need failure detectors that are fast and accurate. Failure detectors are oracles that provide information about process crashes , they are an important abstraction for fault tolerance in distributed systems. Although current failure detectors theory provides great generality and expressiveness, it also possess significant challenges in developing a robust hierarchy of failure detectors. In this paper, we propose an implementation of failure detectors. this implementation uses a dual model of heartbeat and interaction. First, the heartbeat model is adopted to shorten the detection time. if the detecting process does not receive the heartbeat message in the expected time, the interaction model is then used to check the process further.
In this paper, we propose an implementation of hierarchical failure detectors, which depends on dividing the processes into sub-groups and elect one leader called the main process . The main process then distributes the remaining processes into g roups and chooses one leader for each one. Finally failure detector applied in the chosen leaders which send the results to the central process.
In this paper, we review related literature and introduce a new general purpose simulation engine for distributed discrete event simulation. We implemented optimized loop CMB algorithms as a conservative algorithm in Akka framework. The new engin e is evaluated in terms of performance and the ability of modeling and simulating discrete systems such as digital circuits and single server queuing system.
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