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    Wyświetlanie 1-4 z 4
    Tytuł:
    In situ genetic variability and micropropagation of Cerastium banaticum (Rochel) Heuff. (Caryophyllaceae)– a rare and endemic species from Romania
    Autorzy:
    Cristea, V.
    Besenyei, E.
    Jarda, L.
    Farkas, A.
    Marcu, D.
    Clapa, D.
    Halmagyi, A.
    Butiuc-Keul, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2117879.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    acclimatization
    biodiversity conservation
    plant growth regulators
    SSR markers
    Opis:
    Rare and endemic plant species represent important components of plant biodiversity which require protection to ensure their sustainable conservation. Cerastium banaticum (Rochel) Heuff. is such an endemic and rare species from Romania, for which the genetic variability of two natural populations was studied by SSR markers. Shannon’s information index revealed low levels of genetic diversity in both populations (I = 0.296). As the first attempt in a conservation program a reproducible micropropagation protocol was established starting from seeds, followed by multiplication, rooting, and ex vitro acclimatization. Among the various plant growth regulators tested the highest multiplication coefficient was achieved on a culture medium with 0.5 mg L -1 6-furfurylaminopurine (K) and 1 mg L -1 α-naphthaleneacetic acid (NAA). On this PGRs concentration a number of 26.6 shoots/individual explant with a mean length of 7.9 cm for new generated shoots was registered. The highest number of roots/indi- vidual initiated shoot was 2.6 and it was recorded on a culture medium with 0.5 mg L -1 2-isopentyl-adenine (2iP) and 0.1 mg L -1 NAA. The outdoor acclimatization was successfully performed in a specially designed rocky area in the ‘Alexandru Borza’ Botanical Garden, Cluj-Napoca (Romania).
    Źródło:
    Acta Biologica Cracoviensia. Series Botanica; 2019, 61, 1; 53-62
    0001-5296
    Pojawia się w:
    Acta Biologica Cracoviensia. Series Botanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    FIM-SIM: Fault Injection Module for CloudSim Based on Statistical Distributions
    Autorzy:
    Nita, M.-C.
    Pop, F.
    Mocanu, M.
    Cristea, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/308866.pdf
    Data publikacji:
    2014
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    cloud simulation
    continuous distributions
    discrete distributions
    fault injector
    Opis:
    The evolution of ICT systems in the way data is accessed and used is very fast nowadays. Cloud computing is an innovative way of using and providing computing resources to businesses and individuals and it has gained a faster popularity in the last years. In this context, the user’s expectations are increasing and cloud providers are facing huge challenges. One of these challenges is fault tolerance and both researchers and companies have focused on finding and developing strong fault tolerance models. To validate these models, cloud simulation tools are used as an easy, flexible and fast solution. This paper proposes a Fault Injector Module for CloudSim tool (FIM-SIM) for helping the cloud developers to test and validate their infrastructure. FIM-SIM follows the event- driven model and inserts faults in CloudSim based on statistical distributions. The authors have tested and validated it by conducting several experiments designed to highlight the statistical distribution influence on the failures generated and to observe the CloudSim behavior in its current state and implementation.
    Źródło:
    Journal of Telecommunications and Information Technology; 2014, 4; 14-23
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive distributed data storage for context-aware applications
    Autorzy:
    Burceanu, E.
    Dobre, C.
    Cristea, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/307763.pdf
    Data publikacji:
    2013
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    BlobSeer
    broker
    context
    distributed
    mobile devices communication
    Opis:
    Context-aware computing is a paradigm that relies on the active use of information coming from a variety of sources, ranging from smartphones to sensors. The paradigm usually leads to storing large volumes of data that need to be processed to derive higher-level context information. The paper presents a cloud-based storage layer for managing sensitive context data. To handle the storage and aggregation of context data for context-aware applications, Clouds are perfect candidates. But a Cloud platform for context-aware computing needs to cope with several requirements: high concurrent access (all data needs to be available to potentially a large number of users), mobility support (such platform should actively use the caches on mobile devices whenever possible, but also cope with storage size limitations), real-time access guarantees – local caches should be located closer to the end-user whenever possible, and persistency (for traceability, a history of the context data should remain available). BlobSeer, a framework for Cloud data storage, is a perfect candidate for storing context data for large-scale applications. It offers capabilities such as persistency, concurrency and support for flexible storage schema requirement. On top of BlobSeer, Context Aware Framework is designed as an extension that offers context-aware data management to higherlevel applications, and enables scalable high-throughput under high-concurrency. On a logical level, the most important capabilities offered by Context Aware Framework are transparency, support for mobility, real-time guarantees and support for access based on meta-information. On the physical layer, the most important capability is persistent Cloud storage.
    Źródło:
    Journal of Telecommunications and Information Technology; 2013, 4; 58-69
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A hybrid scheduler for many task computing in big data systems
    Autorzy:
    Vasiliu, L.
    Pop, F.
    Negru, C.
    Mocanu, M.
    Cristea, V.
    Kolodziej, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/907647.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    many task computing
    scheduling heuristics
    QoS
    big data system
    simulation
    obliczenia wielofunkcyjne
    szeregowanie zadań
    duży zbiór danych
    Opis:
    With the rapid evolution of the distributed computing world in the last few years, the amount of data created and processed has fast increased to petabytes or even exabytes scale. Such huge data sets need data-intensive computing applications and impose performance requirements to the infrastructures that support them, such as high scalability, storage, fault tolerance but also efficient scheduling algorithms. This paper focuses on providing a hybrid scheduling algorithm for many task computing that addresses big data environments with few penalties, taking into consideration the deadlines and satisfying a data dependent task model. The hybrid solution consists of several heuristics and algorithms (min-min, min-max and earliest deadline first) combined in order to provide a scheduling algorithm that matches our problem. The experimental results are conducted by simulation and prove that the proposed hybrid algorithm behaves very well in terms of meeting deadlines.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2017, 27, 2; 385-399
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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