A note on software tools and technologies for delivering smart media-optimized big data applications in the cloud
A note on software tools and technologies for delivering smart media-optimized big data applications in the cloud
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DOI：
10.1007/s00607-015-0471-8
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发表时间：
2015-08
期刊：
影响因子：
3.7
通讯作者：
R. Ranjan;Dimitrios Georgakopoulos;Lizhe Wang
中科院分区：
文献类型：
--
作者：
R. Ranjan;Dimitrios Georgakopoulos;Lizhe Wang
欢迎收看《施普林格计算：在云中交付智能媒体优化应用的软件工具和技术》特刊。本期特刊涉及大媒体数据的交集，需要利用弹性云计算服务高效地处理和分析此类大数据，以支持新兴的媒体优化应用程序。大数据和云计算是世界各地的大新闻。例如，思科[1]和IBM[2]的研究发现，我们现在每天产生2.5万亿字节的数据。根据IDC[3]的数据，到2020年，数据宇宙将爆炸式增长到40千兆字节--地球上每个人都有5200千兆字节。随着产生的数据量迅速增加，分析这些数据以提取知识的机会带来了巨大的技术挑战，这些知识可以帮助解决使个人、行业和政府以及我们整个社会受益的问题。本期特刊关注的是大数据中一个较少被利用的主要部分：多媒体内容。思科[4]等主要行业参与者预测，到2016年，90%的互联网流量将是
Welcome to the special issue of Springer Computing on Software Tools and Technologies for Delivering Smart Media-Optimized Applications in the Cloud. This special issue deals with the intersection of big media data and it needs for exploiting elastic cloud computing services for efficiently processing and analysing such big data to support emerging media-optimised applications. Big data and cloud computing are big news around the world. For example, studies by CISCO [1] and IBM [2] found we now generate 2.5 quintillion bytes of data per day. According to IDC [3], the data universe is set to explode to 40 yottabytes by 2020—5,200 gigabytes for every person on earth. Together with the rapidly increasing volume of data being generated, opportunities for analysing such data to distil knowledge that can help solve problems that benefit individuals, the industry and government, and our entire society presents a monumental technical challenge. This special issue focuses on a major and less exploited segment of big data: multimedia content. Major industry players, such as CISCO [4], predict that by 2016, 90% of internet traffic will be