中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共3条，第1-3条

帮助

条数/页：排序方式：
	Task scheduling of massive spatial data processing across distributed data centers: what's new? 会议论文 OAI收割 2011 Ieee 17th International Conference on Parallel and Distributed Systems (Icpads) Song, Weijing; Yue, Shasha; Wang, Lizhe; Zhang, Wanfeng; Liu, Dingsheng 收藏 \| 浏览/下载：18/0 \| 提交时间：2014/12/07 Massive data processing spatial data infrastructure task scheduling SYSTEM SCIENCE INFRASTRUCTURE GRIDS
	Embedded system of image storage based on Fiber Channel (EI CONFERENCE) 会议论文 OAI收割 Quantum Optics, Optical Data Storage, and Advanced Microlithography, November 12, 2007 - November 14, 2007, Beijing, China 作者: Wang H.; Wang H.; Wang H.; Wang H.; Chen X. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 In domains of aerospace aviation aiming and optic measure etc. the embedded system of imaging processing and recording is absolutely necessary which has small volume high processing speed and high resolution. But the embedded storage technology becomes system bottleneck because of developing slowly. It is used to use RAID to promote storage speed but it is unsuitable for the embedded system because of its big volume. Fiber channel (FC) technology offers a new method to develop the high-speed portable storage system. In order to make storage subsystem meet the needs of high storage rate make use of powerful Virtex-4 FPGA and high speed fiber channel advance a project of embedded system of digital image storage based on Xilinx Fiber Channel Arbitrated Loop LogiCORE. This project utilizes Virtex4 RocketIO MGT transceivers to transmit the data serially and connects many Fiber Channel hard drivers by using of Arbitrated Loop optionally. It can achieve 400MBps storage rate breaks through the bottleneck of PCI interface and has excellences of high-speed real-time portable and massive capacity.
	Study on CCD image compression and mass storage (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 When CCD camera photographs massive images in the air it is very important to compress and save CCD image timely and validly. This paper designs the CCD image compression and mass storage system. The one part is image compression: this paper introduces a reduced memory still image compression algorithm based on Listless Zerotree Coding (LZC). Compared with SPIHT the approach significantly reduced memory requirement and no reducing the quality of the reconstructed image. The other part is image mass storage: this system uses a kind of special hard disk storage devices that can realize faster data transmission to SCSI (Small Computer System Interface) devices even if it separates oneself from PCs. In the faster data acquisition and storage system data storage is a key technology. Normal approach is saving the data to mass memories and then processing and saving the data after complete acquisition. The continuous acquisition time is restricted with the storage capacity in the normal method so that it can't receive the requirement of CCD image storage on many occasions. While its price will be geminate increasing when we increase the storage capacity. So the approach in this paper is better one to use fast disks on data direct mass storage considering the storage capacity read/write speed and unit cost. The result of the experiment shows that the system has compressed and saved CCD image validly so it reached the anticipative purpose.