Advanced coding solutions for large-scale data storage & communication

适用于大规模数据存储的高级编码解决方案

• 批准号: RGPIN-2017-04119
• 负责人: Ardakani, Masoud
• 金额: $ 2.4万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637342
• 关键词: Advanced; coding; solutions; large; scale

The global IP traffic is growing rapidly due to increased demand for online services such as cloud storage, video on demand, live streaming, and file sharing. These online services, which are responsible for the bulk of the Internet traffic, heavily rely on distributed storage systems (DSS). Hence, around the world, the number and size of DSSs have rapidly increased in recent years. In fact, DSSs are already among the top contributors of carbon emission in the modern world. In the US, for example, they are only second to the airline industry and expected to be the top contributor by 2020. Thus, research on efficient data storage techniques for DSSs has recently attracted a lot of interest both in academia and in industry.

由于对在线服务的需求增加，例如云存储，视频按需，直播和文件共享，全球IP流量正在迅速增长。这些在线服务负责大部分互联网流量，严重依赖分布式存储系统（DSS）。因此，在世界范围内，近年来，DSS的数量和大小迅速增加。实际上，DSS已经成为现代世界中碳排放的主要贡献者之一。例如，在美国，它们仅次于航空业，预计到2020年将成为最重要的贡献者。因此，对DSSS有效数据存储技术的研究最近在学术界和行业中引起了很多兴趣。