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Distributed and Parallel Computing System Using Single-Client Multi-Hash Multi-Server Multi-Thread

机译:使用单客户多哈希多服务器多线程分布式和并行计算系统

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There are relatively new approaches of Parallel Distributed Processing. Distributed cloud uses cloud computing technology from different geographic locations to interconnect data and applications served. Distributed, in the sense of information technology (IT), something is exchanged between various systems that may also be in different places. The amount of data and exhausting time to process and monitor the predicted outcomes effectively and with as little time as possible has been significantly increased.This paper proposed a system designed to help users with the lowest processing time interactively solve composite work. The two most popular technologies, Distributed Parallel Processing (DPP) and Cloud Computing (CC) rely on the clarity of solving the user's problem in this method. The proposed system has been built depending on different types of (Clients, Hash-codes, Servers, and server logical processors) with a cloud system (webserver). The client-side produces and sends the Hash-codes to the cloud-side. The web server distributes them among the chosen servers in charge of executing the cracking operation. When using light load (single hash-code) with multi-servers and multi-processors, it has been verified getting the lowest time consumed (i.e., Kernel, User, and Total time) proposed system offers better efficiency. Although it is shown that using heavy load (multi hash-codes) with multi-servers and multi-processors, the proposed system provides better performance from the point of view of the parallel processing technique. Because of this hash-codes cracking effects by two critical parameters (minimum cracking time and economical usage of machine-resources), these instances were taken into account by the proposed system.
机译:并行分布式处理有相对较新的方法。分布式云使用不同地理位置的云计算技术来互连数据和应用程序。分布在信息技术(IT)中,在不同地方的各种系统之间交换了一些东西。数据和耗尽时间有效和尽可能短的时间来处理和耗尽预测结果的数量显着增加。本文提出了一种旨在帮助用户以交互地解决复合工作的最低处理时间的用户的系统。两个最受欢迎的技术,分布式并行处理(DPP)和云计算(CC)依赖于解决此方法中的用户问题的清晰度。建议的系统根据不同类型的(客户端,散列代码,服务器和服务器逻辑处理器),具有云系统(WebServer)。客户端生成并将哈希代码发送到云端。 Web服务器在负责执行开裂操作的所选服务器中分配它们。使用带有多服务器和多处理器的轻负载(单个散列码)时,已经过验证了获得最低时间(即,内核,用户和总时间)所提出的系统提供更好的效率。虽然表明,使用具有多件和多处理器的重载(多哈希码),但是所提出的系统从并行处理技术的角度提供了更好的性能。由于这种哈希代码通过两个关键参数(最小裂缝时间和机器资源的经济使用)的裂缝效果,所以通过所提出的系统考虑这些实例。

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