Parallel storage and retrieval of pixmap images

R. Hersch
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引用次数: 13

Abstract

To fulfill the requirement of rapid access to huge amounts of uncompressed pixmap image data, a parallel image server architecture is proposed, based on arrays of intelligent disk nodes, with each disk node composed of one processor and one disk. It is shown how images can be partitioned into extents and efficiently distributed among available intelligent disk nodes. The image server's performance is analyzed according to various parameters such as the number of cooperating disk nodes, the sizes of image file extents, the available communication throughput, and the processing power of disk node and image server processors. Important image access speed improvements are obtained by image extent caching and image part extraction in disk nodes. With T800 transputer-based technology, a system composed of eight disk nodes offers access to three full-color 512*512 pixmap image parts per second (2.4 megabytes per second). For the same configuration but with the recently announced T9000 transputer, image access throughput is eight images per second (6.8 megabytes per second).<>
像素图图像的并行存储和检索
为了满足快速访问大量未压缩像素图图像数据的需求,提出了一种基于智能磁盘节点阵列的并行图像服务器架构,每个磁盘节点由一个处理器和一个磁盘组成。演示了如何将映像划分为区段并有效地分布在可用的智能磁盘节点之间。根据协作磁盘节点的数量、映像文件区段的大小、可用的通信吞吐量以及磁盘节点和映像服务器处理器的处理能力等各种参数来分析映像服务器的性能。通过在磁盘节点上进行图像范围缓存和图像部分提取,可以显著提高图像访问速度。使用基于T800转发器的技术,由8个磁盘节点组成的系统每秒可访问3个全彩512*512像素图图像部分(每秒2.4兆字节)。对于相同的配置,但使用最近发布的T9000转发器,图像访问吞吐量是每秒8个图像(每秒6.8兆字节)
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