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The authorship of the Second Military Survey of Galicia and Austrian Silesia at the scale 1:28,800 and the consistency of sheet content based on selected examples

Ostafin Krzysztof, Kaim Dominik, Troll Mateusz, Maciejowski Wojciech

Polish Cartographical Review

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2020

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Vol. 52, No. 4

141--151

EN

The aim of this article is to expand the understanding of the history of cartography of the lands of southern Poland under Austrian rule in the nineteenth century. The Austrian Second Military Survey, at the scale 1:28,800, was produced for the province of Galicia between 1861 and 1864 and for Austrian Silesia between 1838 and 1841. In Galicia, work on 413 sheets was led by thirteen cartographers, and the content and descriptions were prepared by 106 cartographic technicians. On the 42 sheets of the Silesia maps, two directors and 11 technicians were recorded. The military cartographers who prepared the survey of the two provinces belonged to 71 multinational units of the army of the Austrian Empire. Work with nineteenth-century maps is fraught with uncertainty about the consistency of the series, which may be reflected in the content of the maps. The consistency of map content was tested on sheets covering the Polish Carpathians for two types of features: linear (roads) and area (forests). Expanding the understanding of these maps may contribute to reducing uncertainty in their use for various environmental and socio-economic analyses.

2

Assessment of LDAP services in high availability environment

Marchel M., Bołdak C.

Advances in Computer Science Research

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2015

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Nr 12

21--35

EN

In this work we assess functioning of an LDAP service in the High Availability Environment. A system configuration with two alternative existing open source LDAP implementations (OpenLDAP and Apache Directory Server) was examined. Pacemaker/Corosync tool were employed here to manage two distributed resources: virtual main IP address and two cloned LDAP services. The test system was deployed on the LDAP production servers at Faculty of Computer Science, Bialystok University of Technology. Then several tests were run to measure the time of various operations (initialization, read/write, switchover, failover) as well as to verify the continuity of working and data consistency in presence of diverse faults, including power supply off. Few low level problems (due to used tools) were encountered and solved.

PL

W niniejszej pracy oceniono działanie usług katalogowych LDAP w środowisku wysokiej dostępności. Wzięto pod uwagę dwie implementacje LDAP o otwartym kodzie: OpenLDAP i Apache Directory Server. W celu zarządzania dwoma rozproszonymi zasobami (wirtualny adres IP i dwie sklonowane usługi LDAP) użyto narzędzia Pacemaker/Corosync. Testowa konfiguracja został wdrożona na serwerach produkcyjnych LDAP na Wydziale Informatyki Politechniki Białostockiej. W dalszej kolejności przeprowadzono testy w celu pomiaru czasów różnych operacji (inicjalizacji, odczytu/zapisu, zaplanowanego i awaryjnego przełączenia serwerów) jak również w celu zweryfikowania ciągłości pracy i spójności danych w przypadku różnego rodzaju awarii, w tym zaniku zasilania. Konieczne było rozwiązanie kilku technicznych problemów związanych z użytymi narzędziami.

3

Update Propagator for Joint Scalable Storage

Leszczyński P., Stencel K.

Fundamenta Informaticae

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2012

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Vol. 119, nr 3/4

337-355

EN

In recent years, the scalability of web applications has become critical. Web sites get more dynamic and customized. This increases servers’ workload. Furthermore, the future increase of load is difficult to predict. Thus, the industry seeks for solutions that scale well. With current technology, almost all items of system architectures can be multiplied when necessary. There are, however, problems with databases in this respect. The traditional approach with a single relational database has become insufficient. In order to achieve scalability, architects add a number of different kinds of storage facilities. This could be error prone because of inconsistencies in stored data. In this paper we present a novel method to assemble systems with multiple storages. We propose an algorithm for update propagation among different storages like multi-column, key-value, and relational databases.