Combining data from diverse, heterogeneous sources while facilitating a unified access to it is an important (albeit difficult) task. There are various possibilities of performing it. In this publication, we propose and describe an agent-based framework dedicated to acquiring and processing distributed, heterogeneous data collected from diverse sources (e.g., the Internet, external software, relational, and document databases). Using this multi-agent-based approach in the aspects of the general architecture (the organization and management of the framework), we create a proof-of-concept implementation. The approach is presented using a sample scenario in which the system is used to search for personal and professional profiles of scientists.
Multiple different filesystems — including disk-based, network, distributed, abstract — are an integral part of every operating system. They are usually written as kernel modules and abstracted to the user via a virtual filesystem switch. In this paper, we analyze the feasibility of reimplementing the virtual filesystem switch as a userspace daemon and applicability of this approach in real-life usage. Such reimplementation will require a way to virtualize processes behavior related to filesystem operations. The problem is non-trivial, as we as-sume limited capabilities of the VFS switch implemented in userspace. We present a layered architecture comprising of a monitoring process, the VFS abstraction and real filesystem implementations. All working in userspace. Then, we evaluate this solution in four areas: portability, feasibility, usability, and performance. Our results demonstrate possible gains in the use of a userspace-based approach with monolithic kernels, but also underline problems that are encountered in this approach.
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This paper present testing concept of newly constructed railway traffic control equipment with computer panel as well as utilization of computer panel simulator for operators' training purposes.
PL
W artykule przedstawiono koncepcję testowania nowobudowanych urządzeń srk z pulpitem komputerowym oraz wykorzystanie symulatora pulpitu komputerowego do celów szkoleniowych personelu obsługi.
In the paper a summary of our previously realized and published work connected with constructing collective intelligent evolutionary multi-agent systems for time series prediction, based on multi-layered perceptrons is shown. Besides recalling our past papers, we describe the whole concept, present an implementation in a contemporary, componentoriented software framework AgE 3.0 and we conduct a number of experiments, finding different optimal parametrization for the considered instances of the problems (popular Mackey-Glass chaotic time series). The paper may be useful for a practitioner willing to use our meatheuristic algorithm (EMAS) along with the idea of collective agent-based system in order to realize prediction tasks.
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