CSR: Small: Efficient Usage of Shingled Magnetic Recording (SMR)Drives

过去十年见证了计算、有线和无线通信以及存储技术的巨大进步。同样重要的是，显著的成本降低使得大型计算和存储容量越来越多。许多网络被集成到称为互联网的世界上最大的IT（信息技术）基础设施中。 随着互联网提供的前所未有的连接，大量的数字数据已经创建并提供。存储正在生成的大量数据已成为一项重大挑战。 与此同时，更多的数据类型（如音频和视频）被转换为数字格式，各种类型的数据需要保存很长时间（超过100年）。因此，我们确实处于一个大数据时代。 大数据问题目前不仅是个人面临的问题，而且几乎是社会的所有部门，包括专业团体，研究社区，公司和政府。 在这个项目中，为了解决存储和访问大数据的挑战，计划研究新的和有效的方法，使用一种有前途的技术，称为叠瓦式磁记录（SMR），用于在磁盘驱动器中存储大量数据（称为叠瓦式写存储器）。 基于SMR的驱动器是一种很有前途的技术，可以满足大数据的存储需求。由于SMR的好处来自于写入期间的重叠磁道，因此研究新用途以减少执行数据更新时的潜在写入放大非常重要。 该项目计划开发新颖的布局设计，可以减少写入放大和专用文件系统，可以使应用程序使用这样的设备没有任何修改，以及有效地支持树和基于图的数据结构的SMR驱动器上的许多大数据相关的应用的新方法。 这项工作的成功完成将为满足大数据需求提供一种新型的存储设备。

The past decade has witnessed tremendous advances in computing, wired and wireless communication and storage technologies. It is also important that remarkable cost reductions have made large computing and storage capacity increasingly available. Many networks are integrated into the world's largest IT (Information Technology) infrastructure called the Internet. With the unprecedented connectivity provided by Internet, a huge amount digital data has been created and made available. Storage for the huge amount of data being generated has become a significant challenge. At the same time, more data types like audio and video are converted into digital format and data in various types needs to be preserved for a very long term (beyond 100 years). Thus, we are indeed in a big data era. The big data problem is currently faced by not only individuals, but also by almost all segments of the society, including professional groups, research communities, companies and government. In this project to address the challenges of storing and accessing big data, the plan is to investigate new and efficient ways of using a promising technology called Shingled Magnetic Recording (SMR) for storing large volumes of data in magnetic disk drives (called Shingled Write Disks). SMR based drives are a promising technology that may answer the storage demand of big data. Since the benefits of SMR come from overlapping tracks during writes, it is important to investigate novel uses to reduce the potential write amplification when updates of data are performed. The project plan is to develop both novel layout designs that can reduce write amplification and specialized file systems that can enable applications to use such a device without any modifications, as well as, novel ways of efficiently supporting tree and graph based data structures on SMR drives for many big data related applications. The successful completion of this work will provide a new type of storage devices meeting the demand of big data.