Franciszek Seredynski

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In this paper, we present a novel approach to designing cellular automata-based multiprocessor scheduling algorithms in which extracting knowledge about the scheduling process occurs. This knowledge can potentially be used while solving new instances of the scheduling problem. We consider the simplest case when a multiprocessor system is limited to(More)
Franciszek Seredynski *, Pascal Bouvry , Albert Y. Zomaya d a Polish–Japanese Institute of Information Technologies, Koszykowa 86, 02-008 Warsaw, Poland b Institute of Computer Science of Polish Academy of Sciences, Ordona 21, 01-237 Warsaw, Poland c Faculty of Sciences, Technology and Communication, Luxembourg University 6, rue Coudenhove Kalergi, L-1359(More)
The paper presents cellular automata (CA)-based multiprocessor scheduling system, in which an extraction of knowledge about scheduling process occurs and this knowledge is used while solving new instances of the scheduling problem. There are three modes of the scheduler: learning, normal operating, and reusing. In the learning mode, a genetic algorithm is(More)
The paper presents an architecture of an anomaly detection system based on the paradigm of artificial immune systems (AISs). Incoming network traffic data are considered by the system as signatures of potential attackers by mapping them into antigens of AISs either using some parameters of network traffic or headers of selected TCP/IP protocols. A number of(More)
The problem of generation by cellular automata of high quality pseudorandom sequences useful in cryptography is considered in the paper. For this purpose one dimensional nonuniform cellular automata is considered. The quality of pseudorandom sequences generated by cellular automata depends on collective behavior of rules assigned to cellular automata cells.(More)
The paper presents an approach based on the principles of immune systems applied to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by building a model of the network behavior based on the self–nonself space paradigm. Covering both self and nonself spaces by hyperrectangular structures is proposed. The(More)
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by building a model of network behavior based on the self-nonself space paradigm. Covering both self and nonself spaces by hyperrectangular structures is proposed. Structures(More)
Cellular automata (CA) are proposed to design scheduling algorithms for allocating tasks of a parallel program in multiprocessor systems. For this purpose a program graph is considered as CA which control a process of migration of tasks in a multiprocessor system. In the rst phase of the algorithm, e ective rules for CA are discovered by a genetic(More)