3 research outputs found

    Classification Methodology for Architectures in Information Systems: A Statistical Converging Technique

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    Architectures are critical to the Information System (IS) domain because they represent funda- mental structures and interactions of systems. Since analysing architecture similarities is chal- lenging and time-consuming even in one domain, IS architecture classifications are paramount to understanding architectural complexity. However, classification approaches used in existing research commonly rely on manual interventions, and thus architectural classification reliability is hampered. We propose a novel methodology based on component modelling and applica- tion of a statistical converging technique, which ensures reliable IS architectural classification and minimises subjective interventions. We demonstrate the methodology by classifying data warehouse architectures

    Data processing in high-performance computing systems

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    The paper integrates the results of a large group of authors working in different areas that are important in the scope of big data, including but not limited to: overview of the basic solutions for the development of data centers; storage and processing; decomposition of a problem into sub-problems of lower complexity (such as applying divide and conquer algorithms); models and methods allowing broad parallelism to be realized; alternative techniques for potential acceleration; programming languages; and practical applications

    BIG DATA ΠΈ Π°Π½Π°Π»ΠΈΠ· высокого уровня : ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ

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    Π’ сборникС ΠΎΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдований ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΎΠΊ Π² области BIG DATA and Advanced Analytics для ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ IT-Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΈ бизнСс-Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ, Π° Ρ‚Π°ΠΊΠΆΠ΅ тСматичСских исслСдований Π² области ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Ρ‹, образования ΠΈ экологии
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