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Data popularity measurements in distributed systems: Survey and design directions

机译:分布式系统中的数据流行度度量:调查和设计指导

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摘要

Distributed systems continue to be a promising area of research particularly in terms of providing efficient data access and maximum data availability for large-scale applications. For improving performances of distributed systems, several data replication strategies have been proposed to ensure reliability and data transfer speed as well as to offer the possibility to access the data efficiently from multiple locations. Data popularity is one of the most important parameters taken into consideration when designing data replication strategies. It assesses how much the data is requested by the sites of the system. In this paper, the importance of considering the data popularity parameter in replication management is highlighted. Different strategies are then identified and how they rely on the data popularity parameter is illustrated. Different calculation manners of data popularity are hence studied. This allows us to find out which factors are considered in order to assess data popularity. After classifying them into four categories, this work includes a critical discussion about each category. Some important directions for future work are then discussed towards possible solutions for a more effective data popularity assessment. (C) 2016 Elsevier Ltd. All rights reserved.
机译:分布式系统仍然是一个有前途的研究领域,特别是在为大型应用程序提供有效的数据访问和最大的数据可用性方面。为了提高分布式系统的性能,已提出了几种数据复制策略,以确保可靠性和数据传输速度,并提供从多个位置有效访问数据的可能性。数据流行度是设计数据复制策略时要考虑的最重要参数之一。它评估系统站点需要多少数据。在本文中,强调了在复制管理中考虑数据流行性参数的重要性。然后确定不同的策略,并说明它们如何依赖数据受欢迎程度参数。因此研究了数据流行度的不同计算方式。这使我们能够找出考虑哪些因素以评估数据的受欢迎程度。将它们分为四个类别后,这项工作包括对每个类别的严格讨论。然后讨论了未来工作的一些重要方向,以寻求可能的解决方案,以进行更有效的数据受欢迎程度评估。 (C)2016 Elsevier Ltd.保留所有权利。

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