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1
Content available remote Intermediate Results Materialization Selection and Format for Data-Intensive Flows
EN
Data-intensive flows deploy a variety of complex data transformations to build information pipelines from data sources to different end users. As data are processed, these workflows generate large intermediate results, typically pipelined from one operator to the following ones. Materializing intermediate results, shared among multiple flows, brings benefits not only in terms of performance but also in resource usage and consistency. Similar ideas have been proposed in the context of data warehouses, which are studied under the materialized view selection problem. With the rise of Big Data systems, new challenges emerge due to new quality metrics captured by service level agreements which must be taken into account. Moreover, the way such results are stored must be reconsidered, as different data layouts can be used to reduce the I/O cost. In this paper, we propose a novel approach for automatic selection of multi-objective materialization of intermediate results in data-intensive flows, which can tackle multiple and conflicting quality objectives. In addition, our approach chooses the optimal storage data format for selected materialized intermediate results based on subsequent access patterns. The experimental results show that our approach provides 40% better average speedup with respect to the current state-of-the-art, as well as an improvement on disk access time of 18% as compared to fixed format solutions.
2
Content available Data locality in Hadoop
EN
The Apache Hadoop framework is an answer to the market tendencies regarding the need for storing and processing rapidly growing amounts of data, providing a fault-tolerant distributed storage and data processing. Dealing with large volumes of data, Hadoop, and its storage system HDFS (Hadoop Distributed File System), face challenges to keep the high efficiency with computing in a reasonable time. The typical Hadoop implementation transfers computation to the data. However, in the isolated configuration, namenode (playing the role of a master in the cluster) still favours the closer nodes. Basically it means that before the whole task has run, significant delays can be caused by moving single blocks of data closer to the starting datanode. Currently, a Hadoop user does not have influence how the data is distributed across the cluster. This paper presents an innovative functionality to the Hadoop Distributed File System (HDFS) that enables moving data blocks on request within the cluster. Data can be shifted either by a user running the proper HDFS shell command or programmatically by other modules, like an appropriate scheduler.
EN
International trade in textiles and clothing has showed more dynamic growth in the last decade in terms of trends in the global production of textile and clothing products. Developing countries, especially those from the Asian region, are the world’s leading textile exporters, which is one of the key levers of their rapid economic growth, while the textile industry in Serbia is among the leading export sectors of the country’s economy despite the serious development issues brought about by the transition process. For the purpose of this paper, the particular analytical tools of the methodology developed by the International Trade Centre (ITC), the World Trade Organization (WTO) and the United Nations Conference on Trade and Development (UNCTAD) were selected. The simplified national export profile – NEP, which gives an overview of the national economy’s export performance by product (both in static and dynamic terms), was used for the analysis of Serbia’s textile industry. In addition, the Balassa index of revealed comparative advantage (RCA) was also used in this paper. Analysis of the competitiveness of the aforementioned industry regarding relative changes in its share in the world market indicates positive changes of Serbia in this area. Relevant indicators are satisfactory, as well as the industry’s specialisation in reation to the global average and export performances of the main export product. However, speaking from the perspective of the export structure, especially trends related to the share of subcontracting, i.e. outward processing, it is clear that the competitiveness of the textile industry in Serbia is primarily based on pricing.
PL
W ostatniej dekadzie międzynarodowe branże przemysłu tekstylnego i odzieżowego wykazały dynamiczny wzrost trendów w światowej produkcji wyrobów włókienniczych. Kraje rozwijające się, zwłaszcza azjatyckie, są widącymi eksporterami tekstyliów, co stanowi dzwignię ich szybkiego wzrostu ekonomicznego; przemysł włókienniczy w Serbii jest jednym z głównych sektorów eksportowych gospodarki kraju, pomimo poważnych problemów spowodowanych przez proces transformacji. Dla celów niniejszej pracy zastosowano narzędzia analityczne metodologii opracowanej przez Międzynarodowe Centrum Handlu (ITC), Światową Organizację Handlu (WTO) oraz Konferencję Narodów Zjednoczonych ds. Handlu i Rozwoju (UNCTAD). Analizę przemysłu włókienniczego Serbii oparto na uproszczonym krajowym profilu eksportowym - NEP, który stanowi przegląd gospodarki narodowej. W badaniach zastosowano również indeks Balassy. Analiza konkurencyjności wspomnianego przemysłu tekstylnego Serbii wskazuje na zachodzenie korzystnych zmian. Stwierdza się jednak, że z perspektywy struktury eksportu, konkurencyjność przemysłu włókienniczego w Serbii oparta jest przede wszystkim na relacjach cenowych.
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