基于驱动层的数据安全存储系统设计

就目前数据集中存储带来的风险进行分析,并提出基于驱动的数据安全存储系统设计。数据安全存储系统能够在不改变终端用户操作习惯的情况下实现文件的安全存储,该系统工作在操作系统文件驱动层和设备驱动层之间,采用透明加密的方式,在文件物理写入磁盘的过程中,嵌入一系列安全操作,保证实际存储的数据全部经过保护。     

Deleting files in the Celeste peer-to-peer storage system

Celeste is a robust peer-to-peer object store built on top of a distributed hash table (DHT). Celeste is a working system, developed by Sun Microsystems Laboratories. During the development of Celeste, we faced the challenge of complete object deletion, and moreover, of deleting “files” composed of several different objects. This important problem is not solved by merely deleting meta-data, as there are scenarios in which all file contents must be deleted, e.g., due to a court order. Complete file deletion in a realistic peer-to-peer storage system has not been previously dealt with due to the intricacy of the problem — the system may experience high churn rates, nodes may crash or have intermittent connectivity, and the overlay network may become partitioned at times. We present an algorithm that eventually deletes all file contents, data and meta-data, in the aforementioned complex scenarios. The algorithm is fully functional and has been successfully integrated into Celeste.     

美术馆计算机信息网络系统设计

利用当今主流的组网技术、网络安全技术、主机技术及存储备份技术,结合以应用为导向的设计思想,对某市美术馆计算机信息网络系统进行了方案设计。整个设计采用分功能区模块化的设计方法,具有贯穿整体的集成性、扩展性、兼容性。     

Robust invariant sets for constrained storage systems

Several items are produced and stored into n buffers in order to supply an external demand without interruptions. We consider the classical problem of determining control laws and smallest buffer levels guaranteeing that an unknown bounded demand is always satisfied. A simple model with n decoupled integrators and n additive bounded disturbances is employed. The coupling arises from bounds on the total production capacity and on the total demand. Invariant set theory for linear and switched linear systems is exploited to compute robust positive invariant sets and controlled robust invariant sets for two commonly adopted scheduling policies. This paper provides the explicit expression of the invariant sets for any arbitrary n.     

Interactive smart battery storage for a PV and wind hybrid energy management control based on conservative power theory

This paper presents interactive smart battery-based storage (BBS) for wind generator (WG) and photovoltaic (PV) systems. The BBS is composed of an asymmetric cascaded H-bridge multilevel inverter (ACMI) with staircase modulation. The structure is parallel to the WG and PV systems, allowing the ACMI to have a reduction in power losses compared to the usual solution for storage connected at the DC-link of the converter for WG or PV systems. Moreover, the BBS is embedded with a decision algorithm running real-time energy costs, plus a battery state-of-charge manager and power quality capabilities, making the described system in this paper very interactive, smart and multifunctional. The paper describes how BBS interacts with the WG and PV and how its performance is improved. Experimental results are presented showing the efficacy of this BBS for renewable energy applications.     

减少重建数据量的冗余编码技术研究

为防止硬件故障或机器宕机导致的数据丢失,冗余编码技术被广泛应用于分布式存储系统中来保证数据的可靠性。然而,传统的冗余编码技术,如里德-所罗门码,存在着重建数据量大的问题。副本技术在重建丢失数据时只需要读取和传输丢失的数据,而冗余编码需要读取和传输更大的数据量,从而消耗更多的磁盘I/O带宽和网络带宽。因此,基于冗余编码的分布式存储系统在重建数据时将消耗更长的时间,从而将整个系统长时间暴露在一种降级的模式下,进而增加了发生永久性数据丢失的风险。为解决这个问题,减少重建数据量的冗余编码技术不断被提出,然而只有这些冗余编码与传统的里德-所罗门码的比较,缺少它们在存储系统的综合比较。系统地从减少重建数据量等几个重要方面研究了这些减少重建数据量的冗余编码技术,从而为实际系统中采用合适的编码提供重要参考和依据。     

爆炸场结构振动参数探测装置设计

为掌握爆炸冲击波引起的毁伤目标冲击振动加速度信号在距爆心不同距离上的规律,利用存储测试技术,设计研制了一种可相对独立工作的便携式结构振动遥测探测头。为了准确掌握探测头系统的动态性能,应用霍普金森杆进行了冲击加速度动态标定测试,结果表明该系统在量程范围（-5000~50000g）内性能良好。通过现场3kg TNT实弹动爆试验,系统成功的记录了冲击振动加速度信号,测试结果对评估炸药的毁伤威力性能具有重要的参考价值。     

基于语义信息的存储能效的研究

随着数字化信息爆炸性的增长,存储技术成为IT业发展的新动力。存储系统规模的不断扩大,使能效问题越来越突出,主要表现为增加了系统运行维护和冷却的成本、降低了系统的可靠性和扩展性、加剧了存储系统周围环境的污染,因此研究存储能效问题具有较大的经济价值和实用意义。阐述了存储系统中磁盘能效的研究进展和现状,并从语义信息出发,设计与实现了基于语义信息的驱动程序。实验表明该驱动程序有效地降低了磁盘能耗,提高了存储系统I/O性能,优化了存储能效。     

基于多属性度量的数据分级访问模型研究

随着云计算的迅速发展,云存储已成为企业关键信息服务的重要途径。但是,受限于存储资源性能以及大数据等影响,用户往往需要忍受较长的访问延时。为了缓解这种情况,人们提出了智能数据管理技术,用于有效管理大量数据以及降低用户的访问延迟,提高云计算的服务质量。提出一种基于多属性分析的存储端数据分级访问模型。模型通过对被管理数据对象的动态、静态属性进行统计分析来提取属性中的关键信息,并依此进行数据管理决策,将冷/热数据迁移至对应层级,以便能够在合理规划存储资源的同时提高存储系统的访问性能。性能测试实验的结果表明,该模型具有较好的整体性能。     

一种新型高精度的中位面法储油罐罐容测算研究

提出了一种新的储油罐罐容计算方法,有较高的精确度和较低的计算复杂度,并用形象的图形给出了罐体变位前后罐容表,达到良好的仿真结果分析,能够很好的推广应用。