The Rise of Big Data and Cloud Computing

Mohaiminul Islam, Shamim Reza
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引用次数: 20

Abstract

Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. While Big Data is responsible for data storage and processing, the cloud provides a reliable, accessible, and scalable environment for Big Data systems to function. Big Data is defined as the quantity of digital data produced from different sources of technology, for example, sensors, digitizers, scanners, numerical modeling, mobile phones, Internet, videos, social networks. Cloud Computing and Big Data are complementary to each other. Rapid growth in Big Data is regarded as a problem. Clouds are evolving and providing solutions for the appropriate environment of Big Data while traditional storage cannot meet the requirements for dealing with Big Data, in addition to the need for data exchange between various distributed storage locations. Cloud Computing provides solutions and addresses problems with Big Data. Big data and Cloud computing both the technologies are valuable on its own. Furthermore, many businesses are targeting to combine the two techniques to reap more business benefits. Both the technologies aim to enhance the revenue of the company while reducing the investment cost. While Cloud manages the local software, Big data helps in business decisions. In paper introduces the relationship between Big Data and Cloud Computing, Cloud Computing role of Big Data, advantages of Big Data and Cloud computing, cloud architecture, importance of Cloud Computing.
大数据和云计算的兴起
在过去的几年里,大数据作为一种新的范式出现,为改进和/或实现研究和决策支持应用提供了丰富的数据和机会,为商业、科学和工程等数字地球应用提供了前所未有的价值。与此同时,大数据对数字地球的数据存储、传输、处理、挖掘和服务提出了挑战。云计算为解决包括计算、存储、网络和分析软件在内的共享计算资源的挑战提供了基础支持;这些资源的应用促进了大数据的发展。本文概述了大数据和云计算这两个前沿领域,并回顾了利用云计算在数字地球和相关科学领域处理大数据的优势和后果。大数据负责数据的存储和处理,而云为大数据系统的运行提供了一个可靠、可访问和可扩展的环境。大数据被定义为来自不同技术来源的数字数据的数量,例如传感器、数字化仪、扫描仪、数值建模、移动电话、互联网、视频、社交网络。云计算和大数据是相辅相成的。大数据的快速增长被认为是一个问题。云在不断发展,为适合大数据的环境提供解决方案,而传统的存储已经不能满足处理大数据的要求,并且需要在各个分布式存储位置之间进行数据交换。云计算通过大数据提供解决方案和解决问题。大数据和云计算这两项技术本身都很有价值。此外,许多企业的目标是将这两种技术结合起来,以获得更多的商业利益。这两项技术都旨在提高公司的收入,同时降低投资成本。当云管理本地软件时,大数据有助于商业决策。本文介绍了大数据与云计算的关系、大数据在云计算中的作用、大数据与云计算的优势、云架构、云计算的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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