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    Wyświetlanie 1-5 z 5
    Tytuł:
    Linux Scheduler Improvement for Time Demanding Network Applications, Running on Communication Platform Systems
    Autorzy:
    Hasse, M.
    Nowicki, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/308906.pdf
    Data publikacji:
    2009
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    communication platform systems
    Linux
    operating system
    scheduler
    Opis:
    Communication platform systems as, e.g., advanced telecommunication computing architecture (ATCA) standard blades located in standardized chassis, provides high level communication services between system peripherals. Each ATCA blade brings dedicated functionality to the system but can as well exist as separated host responsible for servicing set of task. According to platform philosophy these parts of system can be quite independent against another solutions provided by competitors. Each system design can be different and can face with many computer systems design problems. One of the most difficult design problems to solve is system integration with a set of components running on different operating system levels. This paper presents Linux scheduler improvement possibility to make user space application classified as time demanding (required to be serviced by CPU in given amount of time) running in user space together with complicated kernel software structure in the system.
    Źródło:
    Journal of Telecommunications and Information Technology; 2009, 2; 63-69
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of YARN schedulers on power consumption and processing time for various big data benchmarks
    Autorzy:
    Drypczewski, Krzysztof
    Proficz, Jerzy
    Stepnowski, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/1955269.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Gdańska
    Tematy:
    Apache Spark
    YARN
    big data
    green computing
    Sentinel
    Tera Sort
    word count
    benchmarks
    scheduler
    Opis:
    Climate change caused by human activities can influence the lives of everybody on the planet. The environmental concerns must be taken into consideration by all fields of study includingICT. Green Computing aims to reduce negative effects of IT on the environment while, at the same time, maintaining all of the possible benefits it provides. Several Big Data platforms like Apache Spark or YARN have become widely used in analytics and High-Performance Computing systems due to the reliability and usability of Map Reduce implementations. The authors research the power consumption and energy efficiency of Hadoop YARN schedulers using Apache Spark under three different workloads. The test cases include: sorting large binary files,counting unique words in large text files and processing satellite imagery from the Sentinel-2mission. The presented results show small (2%–11%) but distinct differences in the power consumption of FIFO and FAIR schedulers.
    Źródło:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2018, 22, 4; 303--312
    1428-6394
    Pojawia się w:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A synthesis of adaptive, low-power real-time embedded systems for ARM big.LITTLE technology
    Autorzy:
    Ciopiński, L.
    Deniziak, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/114109.pdf
    Data publikacji:
    2015
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    self-adaptive system
    real-time embedded system
    adaptive scheduler
    developmental genetic programming
    ARM big.LITTLE
    Opis:
    In this paper, we present a method of a synthesis of adaptive schedulers for real-time embedded systems. We assume that the system is implemented using a multi-core embedded processor with low-power processing capabilities. First, the developmental genetic programming is used to generate the scheduler and the initial schedule. Then during the system execution, the scheduler modifies the schedule whenever the execution time of the recently finished task has been shorter or longer than expected. The goal of rescheduling is to minimize the power consumption while all time constraints will be satisfied. We present a real-life example as well as some experimental results showing the advantages of the method.
    Źródło:
    Measurement Automation Monitoring; 2015, 61, 7; 340-342
    2450-2855
    Pojawia się w:
    Measurement Automation Monitoring
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data intensive scientific analysis with grid computing
    Autorzy:
    Terzo, O.
    Mossucca, L.
    Cucca, M.
    Notarpietro, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/907793.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przetwarzanie siatkowe
    program szeregujący
    e-nauka
    grid computing
    GPS radio occultation
    scheduler
    agent
    e-science
    Opis:
    At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2011, 21, 2; 219-228
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An ANN-based scalable hashing algorithm for computational clouds with schedulers
    Autorzy:
    Tchórzewski, Jacek
    Jakóbik, Agnieszka
    Iacono, Mauro
    Powiązania:
    https://bibliotekanauki.pl/articles/2055176.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    hashing algorithm
    artificial neural network
    scalable cryptography algorithm
    computational cloud
    task scheduler
    algorytm haszowania
    sztuczna sieć neuronowa
    algorytm kryptograficzny
    chmura obliczeniowa
    Opis:
    The significant benefits of cloud computing (CC) resulted in an explosion of their usage in the last several years. From the security perspective, CC systems have to offer solutions that fulfil international standards and regulations. In this paper, we propose a model for a hash function having a scalable output. The model is based on an artificial neural network trained to mimic the chaotic behaviour of the Mackey–Glass time series. This hashing method can be used for data integrity checking and digital signature generation. It enables constructing cryptographic services according to the user requirements and time constraints due to scalable output. Extensive simulation experiments are conduced to prove its cryptographic strength, including three tests: a bit prediction test, a series test, and a Hamming distance test. Additionally, flexible hashing function performance tests are run using the CloudSim simulator mimicking a cloud with a global scheduler to investigate the possibility of idle time consumption of virtual machines that may be spent on the scalable hashing protocol. The results obtained show that the proposed hashing method can be used for building light cryptographic protocols. It also enables incorporating the integrity checking algorithm that lowers the idle time of virtual machines during batch task processing.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 697--712
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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