Roverli Pereira Ziwich

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This work introduces a new system-level diagnosis model and an algorithm based on this model: Hi-Comp (Hierarchical Comparison-based Adaptive Distributed System-Level Diagnosis algorithm). This algorithm allows the diagnosis of systems that can be represented by a complete graph. Hi-Comp is the first diagnosis algorithm that is, at the same time,(More)
The growing complexity and dependability requirements of hardware, software, and networks demand efficient techniques for discovering disruptive behavior in those systems. Comparison-based diagnosis is a realistic approach to detect faulty units based on the outputs of tasks executed by system units. This survey integrates the vast amount of research(More)
This work presents a new comparison-based diagnosis model and a new algorithm, called Hi-Dif, based on this model. The algorithm is used for checking the integrity of systems with replicated data, for instance, detecting unauthorized Web page modifications. Fault-free nodes running Hi-Dif send a task to two other nodes and the task results are compared. If(More)
Content pollution is one of the challenges for massively deploying live streaming P2P networks in the Internet. As the peers themselves are responsible to retransmit data, there is no trivial solution to this problem. This work presents a new strategy to detect content pollution that employs comparison-based diagnosis to identify modifications on the data(More)
This work presents SAPOTI (Dependable TCP/IP application servers - in portuguese: servidores de aPlicacoes cOnfiaveis Tcp/Ip), a distributed tool that guarantees the availability of TCP/IP application servers, in particular of Web servers. The tool is based on the SNMP framework and is executed on a group of Web servers running on a set of hosts that are(More)
Comparison-based diagnosis is a practical approach to detect faults in hardware, software, and parallel and distributed systems. Diagnosis is based on the comparison of task outputs returned by pairs of system units. This work introduces a novel diagnosis algorithm to identify faults in <inline-formula><tex-math notation="LaTeX">$t$(More)
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