【作者】 于海征；

【导师】 张振宇；

【作者基本信息】 新疆大学 ， 计算机应用技术， 2005， 硕士

【摘要】 计算机和网络技术的迅猛发展,大大提升了分布式计算在计算机科学领域中的重要性和地位。分布式计算的目标是把多台联网的计算机统一起来,让它们共享信息或其他资源,包含多媒体系统、客户-服务器系统、并行计算、Web 编程、移动agent 等等。目前,信息处理中的巨大数据量影响着处理的速度,利用并行方式处理巨大数据量的信息成为重要的途径。采用分布式并行计算技术在加快信息的处理速度和提高效率方面得到了广泛的应用。本论文主要研究了分布式计算环境中的并行处理的方法,并在数字图像复原处理中得到应用。采用了Jini 技术中一个重要的工具集JavaSpaces 实现分布式并行计算,把BNM 图像复原串行算法改为并行算法,在JavaSpaces中得以实现。更多还原

【Abstract】 Distributed computing is promoted consumedly in importance andposition in the realm of computer science with the fast and fiercedevelopment of computer and network .The target of distributed computingis that a lot of network computers are gathered and let them to sharethe information and other resources .It concludes the multi-media system,client-sever system, parallel computing, web program, and mobile agentetc.Now, the massive data of information processing affect theprocessed speed, and making use of parallel mode to process theinformation of massive data becomes very important. Distributed paralleltechnology is got the extensive application at quickly handling ofinformation speed and improving efficiency.This thesis studied the parallel processing method in thedistributed computing environment, and the method is applied in theimage restoration processing. Adopted JavaSpaces an important tool inJini technology to realize distributed parallel computing and hadparallel program instead of a kind of image restoration program, canrealize in JavaSpaces.更多还原