Miroslaw Malek

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The consensus problem is concerned with the agreement on a system status by the fault-free segment of a processor population in spite of the possible inadvertent or even malicious spread of disinformation by the faulty segment of that population. The resulting protocols are useful throughout fault-tolerant parallel and distributed systems and will impact(More)
With the ever-growing complexity and dynamicity of computer systems, proactive fault management is an effective approach to enhancing availability. Online failure prediction is the key to such techniques. In contrast to classical reliability methods, online failure prediction is based on runtime monitoring and a variety of models and methods that use the(More)
Rate Monotonic Scheduling (RMS) policy is a widely accepted scheduling strategy for real-time systems due to strong theoretical foundations and features attractive to practical uses. For a periodic task set of n tasks with deadlines at the end of task periods, it guarantees a feasible schedule on a single processor as long as the utilization factor of the(More)
The goal of online failure prediction is to forecast imminent failures while the system is running. This paper compares similar events prediction (SEP) with two other well-known techniques for online failure prediction: a straightforward method that is based on a reliability model and dispersion frame technique (DFT). SEP is based on recognition of(More)
Service-Oriented Architecture (SOA) is a popular design paradigm for distributed systems today but the high adaptivity and complexity of SOA implementations may also introduce additional sources of faults. We first describe typical steps in SOA to understand possible faults. Then, we provide a corresponding fault taxonomy according to the process of service(More)
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that the current state of the system is evaluated in order to predict the occurrence of failures in the near future. More specifically, we focus on methods that use event-driven(More)
Despite a considerable number of topology generation algorithms for simulation of wireless multihop networks it is difficult to find one with output similar to real networks [13]. In this paper, we propose NPART – a Node Placement Algorithm for Realistic Topologies whose created topologies resemble networks encountered in reality. The algorithm is flexible(More)