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Browsing by Subject "data management"

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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Data storage management using AI methods
    (Wydawnictwa AGH, 2013) Funika, Włodzimierz; Szura, Filip
    Data management and monitoring is an important issue in scientific computation. Scientists want to access their data as quickly as possible. Some experiments need to store a lot of data which have to be secure. By saying this we mean that this data can not disappear or be damaged also the data storage should be as cheap as possible. In this paper we present an approach to the automation of monitoring and management of data storage. We introduce a knowledge based system which is able to manage data, i.e., make decisions on migrating data, replicating or removing it. We discuss some of the existing solutions which are popular on the market. In this paper we aim to present our system which uses such AI techniques like fuzzy logic or a rule-based expert system to deal with data storage management. We exploit in this system a cost model to analyze the proposed solutions. The operations performed by our system are aimed to optimize the usage of the monitored infrastructure.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Towards implementing virtual data infrastructures - a case study with iRODS
    (Wydawnictwa AGH, 2012) Röblitz, Thomas
    Scientists demand easy-to-use, scalable and flexible infrastructures for sharing, managing and processing their data spread over multiple resources accessible via different technologies and interfaces. In our previous work, we developed the conceptual framework VISPA for addressing these requirements. This paper provides a case study assessing the integrated Rule-Oriented Data System (iRODS) for implementing the key concepts of VISPA. We found that iRODS is already well suited for handling metadata and sharing data. Although it does not directly support provenance information of data and the temporal provisioning of data, basic forms of these capabilities may be provided through its customization mechanisms, ie rules and micro-services.