ASIX OS Ⅱ系统中FAT16文件系统的分析

文中论述在复杂嵌入式系统中建立文件系统的重要性,并提出将FAT16文件系统应用于嵌入式操作系统ASIXOSⅡ的方案。根据FAT16文件系统总体的构架、基本的数据结构,针对嵌入式系统的特点搭建能够有效管理、读取数据文件的系统。其技术成熟,应用可靠,并且提供和ASIXOSⅡ的API接口,便于使用,易于移植。     

ASIX OSⅡ系统中FATl6文件系统的分析

文中论述在复杂嵌入式系统中建立文件系统的重要性．并提出将FATl6文件系统应用于嵌入式操作系统ASIX OS Ⅱ的方案。根据FATl6文件系统总体的构架、基本的数据结构,针对嵌入式系统的特点搭建能够有效管理、读取数据文件的系统。其技术成熟,应用可靠,并且提供和ASIX OS Ⅱ的API接口,便于使用,易于移植。     

基于策略机制的分布式文件保护系统PFICS

根据基于策略机制的文件保护模型,实现了一个文件保护系统PFICS。该系统能够根据用户制定的文件保护策略检查文件系统中违反策略的行为,采取相应的保护措施进行文件的实时恢复,进而维护文件系统的完整性。PFICS采用一个服务器保护多个主机的文件系统,构成了一个分布式的实时文件保护系统。该文介绍了系统的体系结构和实现方法,并对系统性能进行了分析。     

Filter Cache:一种提高Lustre I/O性能的方法

高性能计算系统需要一个可靠高效的并行文件系统.Lustre集群文件系统是典型的基于对象存储的集群文件系统,它适合大数据量聚合I/O操作.大文件I/O操作能够达到很高的带宽,但是小文件I/O性能低下.针对导致Lustre的设计中不利于小文件I/O操作的两个方面,提出了Filter Cache方法.在Lustre的OST组件中设计一个存放小文件I/O数据的Cache,让OST端的小文件I/O操作异步进行,以此来减少用户感知的小文件I/O操作完成的时间,提高小文件I/O操作的性能.     

Windows几种文件系统分析

Windows 3.x和MS-DOS一直使用的是文件分配表(FAT)系统;Windows 95使用的是扩展FAT文件系统;Windows NT文件系统则在继续支持16位文件系统的同时,还支持两种32位的文件系统——Windows NT文件系统(NTFS)和高性能文件系统(HPFS)。这几种文件系统各有优缺点,适合于不同的应用目的。 一、文件分配表(FAT)系统 FAT文件系统1982年开始应用于MS-DOS中。FAT文件系统主要的优点就是它可以由多种操作系统访问,如MS-     

关于HFS+文件系统数据恢复的研究

本文首先介绍HFS+磁盘的文件系统结构,然后介绍了HFS+文件系统存储和删除数据时的工作流程;在此基础上针对HFS+文件系统存储文件时的特点,对在其环境下恢复文件的可能性进行了探讨,通过对进入废纸篓文件的恢复、完全删除的文件的恢复以及对磁盘的关键字搜索和虚拟内存的搜索这三方面初步证明了在HFS+的系统中对文件进行数据恢复是可行的。     

NTFS文件系统结构分析

详细分析了Windows NT操作系统使用的NTFS文件系统的基本结构,深入剖析了其主控文件表MFT、MFT记录、文件结构和目录结构等基本数据的结构。针对NTFS的卷结构,目录与文件结构、日志文件系统、故障时数据恢复等方面进行了研究。NTFS使用日志文件系统实现系统的数据故障恢复功能,对数据恢复过程及过程中日志文件系统的使用给出了详细的说明。     

构建和移植嵌入式Linux的根文件系统

根文件系统是构建嵌入式Linux系统的非常重要的组成部分,在嵌入式应用中,存储资源也相对有限,因此使用小的文件系统是非常有意义的选择。本系统采用CramFS作为uCLinux嵌入式系统的只读根文件系统。文章介绍了用busybox构建嵌入式Linux的根文件系统方法,包括busybox的配置和安装以及Cramfs文件的制作和移植。     

一种基于DSP的可循环读写文件系统设计

针对以DSP为核心的嵌入式系统缺乏有效的文件管理和数据存储的问题,在研究文件系统基本架构、存储空间管理的基础上,设计了一种可循环读写的文件系统。实践证明,该文件系统有效实现了文件管理、文件的可循环读写等功能。另外,针对文件系统的资源消耗和可靠性的问题作了专门的设计,具有较高的可靠性和操作效率。     

有源RFID标签安全文件系统的设计

针对有源RFID标签应用中对微型文件系统的需求,围绕标签内存小和大量标签盘点过程中要求文件读写速度快的特点,展开对有源RFID标签安全文件系统的研究。最终通过选用高速存储器件和对FAT文件系统进行改进（实现灵活的数据缓冲层、精简文件目录项、增加文件访问控制）,实现了简洁高效安全的文件系统设计,并在实验中展现了文件系统良好的性能。     

Kosha: A Peer-to-Peer Enhancement for the Network File System

The storage needs of modern scientific applications are growing exponentially, and designing economical storage solutions for such applications – especially in Grid environments – is an important research topic. This work presents Kosha, a system that aims to harvest redundant storage space on cluster nodes and user desktops to provide a reliable, shared file system that acts as a large distributed storage. Kosha utilizes peer-to-peer (p2p) mechanisms to enhance the widely-used Network File System (NFS). P2P storage systems provide location transparency, mobility transparency, load balancing, and file replication – features that are not available in NFS. On the other hand, NFS provides hierarchical file organization, directory listings, and file permissions, which are missing from p2p storage systems. By blending the strengths of NFS and p2p storage systems, Kosha provides a low overhead storage solution. Our experiments show that compared to unmodified NFS, Kosha introduces a 3.3% fixed overhead and 4.5% additional overhead as nodes are increased from two to sixteen. For larger number of nodes, the additional overhead increases slowly. Kosha achieves load balancing in distributed directories, and guarantees or better file availability.*This work was supported in part by an NSF CAREER award (ACI-0238379).Troy A. Johnson was supported by a U.S. Department of Education GAANN doctoral fellowship.     

基于柯西码的HDFS存储优化策略

随着大数据时代的到来,数据存储正接受着严峻的考验。为了改进传统Hadoop分布式文件系统HDFS存在的冗余度高、负载均衡能力不足等问题,提出了一种基于柯西码的动态分散式存储优化策略CDDS。对于系统中的数据块,在保证数据可用性的基础上,依据其热度的不同生成相应的存储方案。对于系统中的冷数据与热数据,分别采用基于柯西码的纠删码技术进行单副本与多副本存储,既保证了数据的可靠性又保证了系统的I/O能力。经测试,运用该策略存储数据所需要的存储空间减小为原来的75%,系统的可靠性与负载均衡能力也得到了增强。     

一个网络文件存储系统TNS关键技术

基于多服务器架构、为多用户服务的网络文件存储系统普遍存在资源分配不均,重复文件多,存储空间浪费严重的问题。设计并实现了TNS网络文件存储系统,该系统基于多服务器存储架构,分别由用户服务器、索引服务器、数据服务器、共享服务器、管理服务器和登录服务器组成,为多用户服务,采用一致性Hash实现负载均衡,支持在客户端进行文件粒度的重复数据删除。经过实际生产环境运行测试,具有良好的负载均衡能力和重复数据删除功能,可以有效节省存储空间,提高存储设备利用率。     

针对负载均衡的P2P动态副本策略

对等网络系统面临的最大的问题就是负载均衡.针对P2P网络中负载均衡的问题,提出了两种基于动态副本策略的负载均衡技术:周期性副本策略和基于需求的副本策略.在周期性副本策略里,每个超级节点周期性地把文件的副本发送给请求该文件频率最高的远程超级节点.在基于需求的副本策略里,当一个超级节点发现其对某个文件的访问频率过高时,就向拥有该文件的超级节点发送文件请求,以获得该文件副本.本文分析了这两种技术的平均访问代价和副本负载代价.一系列的模拟实验证实了这两种技术的可行性及其带来的好处.     

基于MooseFS的纠错码存储方法设计和实现

在云存储技术中,云存储系统的数据容错十分重要,直接关系到整个系统的可用性。当前多数分布式存储系统通过多副本来保证数据的可用性,然而,多副本存储方式也使得数据存储空间翻倍增加,为了降低存储空间,提高数据可用性,有些分布式存储系统开始采用纠错码技术来提高数据可用性和降低数据存储空间占用。通过对MooseFS分布式文件系统进行分析,提出了一种基于MooseFS的纠错码实现方法。通过数据存储效率测试,该方法能够保证常用的“热数据”按照多副本存储,不常用的“冷数据”按照纠错码方式存储,在保证可靠性的同时极大地降低了多副本方式空间占用量。     

A dual-direction technique for fast file downloads with dynamic load balancing in the Cloud

File downloads make up a large percentage of the Internet traffic to satisfy various clients using distributed environments for their Cloud, Grid and Internet applications. In particular, the Cloud has become a popular data storage provider and users (individuals and corporates) are relying heavily on it to keep their data. Furthermore, most cloud data servers replicate their data storage infrastructures and servers at various sites to meet the overall high demands of their clients and increase availability. However, most of them do not use that replication to enhance the download performance per client. To make use of this redundancy and to enhance the download speed, we introduce a fast and efficient concurrent technique for downloading large files from replicated Cloud data servers and traditional FTP servers as well. The technique, DDFTP utilizes the availability of replicated files on distributed servers to enhance file download times through concurrent downloads of file blocks from opposite directions in the files. DDFTP does not require coordination between the servers and relies on the in-order and reliability features of TCP to provide fast file downloads. In addition, DDFTP offers efficient load balancing among multiple heterogeneous data servers with minimal overhead. As a result, we can maximize network utilization while maintaining efficient load balancing on dynamic environments where resources, current loads and operational properties vary dynamically. We implemented and evaluated DDFTP and experimentally demonstrated considerable performance gains for file downloads compared to other concurrent/parallel file/data download models.     

基于国产安全操作系统的集中存储管控系统

主要介绍以国产安全操作系统为运行环境的集中存储管控系统的研究与设计,系统通过运用“沙箱”、多因素增强身份认证、数据集中加密存储、负载均衡等核心技术,实现对用户文档的安全加密、数据集中存储、终端安全管理、外设封控管理及日志全面审计功能,以达到针对特殊目标用户数据灵活、安全、高效的集中存储管控策略控制.     

MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster

Effective data management is an important issue for a large-scale distributed environment such as data cloud. This can be achieved by using file replication, which efficiently reduces file service time and access latency, increases file availability and improves system load balancing. However, replication entails various costs such as storage and energy consumption for holding replicas. This article proposes a multi-objective offline optimization approach for replica management, in which we view the various factors influencing replication decisions such as mean file unavailability, mean service time, load variance, energy consumption and mean access latency as five objectives. It makes decisions of replication factor and replication layout with an improved artificial immune algorithm that evolves a set of solution candidates through clone, mutation and selection processes. The proposed algorithm named Multi-objective Optimized Replication Management (MORM) seeks the near optimal solutions by balancing the trade-offs among the five optimization objectives. The article reports a series of experiments that show the effectiveness of the MORM. Experimental results conclusively demonstrate that our MORM is energy effective and outperforms default replication management of HDFS (Hadoop Distributed File System) and MOE (Multi-objective Evolutionary) algorithm in terms of performance and load balancing for large-scale cloud storage cluster.     

A proactive low-overhead file replication scheme for structured P2P content delivery networks

File replication is a widely used technique for high performance in peer-to-peer content delivery networks. A file replication technique should be efficient and at the same time facilitates efficient file consistency maintenance. However, most traditional methods do not consider nodes’ available capacity and physical location in file replication, leading to high overhead for both file replication and consistency maintenance. This paper presents a proactive low-overhead file replication scheme, namely Plover. By making file replicas among physically close nodes based on nodes’ available capacities, Plover not only achieves high efficiency in file replication but also supports low-cost and timely consistency maintenance. It also includes an efficient file query redirection algorithm for load balancing between replica nodes. Theoretical analysis and simulation results demonstrate the effectiveness of Plover in comparison with other file replication schemes. It dramatically reduces the overhead of both file replication and consistency maintenance compared to other schemes. In addition, it yields significant improvements in reduction of overloaded nodes.     

无线传感器网络中对等数据存储策略研究

在无线传感器网络中,除了基于基站的数据传输和管理模式以外,对等数据传输以及网内数据管理同样具有非常重要的现实意义。本文论述了传感器网络中对等数据传输的应用特点和研究挑战,以及数据存储策略与对等数据传输的关系。如何设计有效的数据存储策略是对等数据传输和网内数据管理、查询的关键技术和重要研究课题。本文分析了无线传感器网络中对等数据存储策略的分类、负载平衡和查询成功率等相关问题。本文采取基于位置的分类方法,根据策略是否依赖节点的位置信息,将节点间的对等数据存储分为基于位置的策略和无位置策略。本文综述了目前的相关研究,比较了各种策略适用的网络环境和数据查询成功率、网络负载平衡等性能指标。