SBIR Phase I: Data Recovery from Low-Cost High-Capacity Backup/Archival Storage Systems for Small Enterprises

这个小型企业创新研究（SBIR）第一阶段项目将研究一种新的方法，用于从基于磁盘的归档/备份系统中恢复由于驱动器系统的硬件故障（例如磁头崩溃或物理撞击）而无法读取的关键任务硬盘数据。 在这些情况下，读通道技术如部分响应最大似然（PRML）通常不能正确地检测数据，因为在恢复时写通道的先验知识可能不可用。 因此，SBIR研究是一种新的数据恢复方法，使用驱动器独立的读通道技术，是不敏感的写通道的规格。这种技术是基于“响应函数”的表征巨磁阻磁头的硬盘驱动器。它有希望有效地消除符号间干扰（ISI），反过来（经过适当的解码）将导致恢复，否则不可读的备份/存档data.The预期的结果，这项研究将是一个新的数据恢复技术和相关的软件，将消除ISI没有事先知道的数据是如何写的。此外，这项研究还可能导致新的硬盘读通道设计，这将大大增加未来备份/存档系统的数据存储密度。 它填补了现有的空白，恢复硬盘数据从基于磁盘的备份/存档系统是不可读的，目前的数据检索技术。由于计算机数据恢复的需求日益增长，这项研究的商业效益是有希望的。从小型企业中的备份/归档数据库到公司企业和联邦机构中的大型关键任务服务器，这种恢复技术可能每年为美国节省数亿美元的数据丢失相关成本。这项研究还在情报、安全和执法领域产生了更广泛的社会影响，例如，在计算机取证领域，检索到的数据可以作为刑事和恐怖主义起诉的数字证据，从而促进国土安全。此外，成功实施此ISI移除技术可能会大大提高未来备份/存档硬盘驱动器的容量和可靠性。此外，该技术还消耗更少的功率，并假定实现成本更低，使其适合于移动的应用，并且是数十亿美元硬盘市场中读通道产品的可行竞争者。

This Small Business Innovation Research (SBIR) Phase I project will investigate a novel approach for recovering mission-critical hard disk data from disk-based archival/backup systems that are unreadable due to hardware failures of the drive systems (such as a head crash or physical impact). Under these circumstances, read channel techniques like Partial Response Maximum Likelihood (PRML) often cannot correctly detect the data because prior knowledge of the write channel may not be available at the time of recovery. As such, this SBIR research is a new approach of data recovery using a drive-independent read channel technique that is insensitive to the specifications of the write channel. This technique is based on the "response function" characterization of giant-magnetoresistive heads of hard drives. It has the promise of effectively removing intersymbol interference (ISI) that in turn (after the appropriate decoding) will lead to the recovery of the otherwise unreadable backup/archival data.The anticipated result of this research will be a new data recovery technique and related software that will remove ISI without prior knowledge of how the data were written. In addition, this research may also lead to new designs of hard disk read channels that will significantly increase the data storage density of future backup/archival systems. It fills an existing void of recovering hard disk data from disk-based backup/archival systems that are unreadable by current data retrieval techniques. The commercial benefits of this research are promising due to the growing need for computer data recovery. From backup/archival databases in small enterprises to large mission-critical servers in corporate enterprises and federal agencies, this recovery technique potentially could save America hundreds of millions of dollars per year in data-loss-related costs. This research also has a broader societal impact in the intelligence, security, and law enforcement communities where, in the field of computer forensics, for example, the retrieved data may serve as digital evidence for criminal and terrorist prosecution, thus promoting homeland security. Furthermore, the successful implementation of this ISI-removal technique may substantially increase the capacity and reliability of future backup/archival hard drives. In addition, this technique also consumes less power and assumes a lower cost of implementation, making it suitable for mobile applications and a viable contender for read channel products in the multi-billion dollar hard disk market.