A library for load balancing in master/slave applications on a LAN-WLAN environment

David Cruz Sánchez Rodríguez, E. Macías, Álvaro Suárez Sarmiento
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引用次数: 1

Abstract

A combination of a local area network (LAN) and a wireless LAN (WLAN) is a useful environment for doing parallel computing. We use this infrastructure to implement master/slave parallel distributed programs which exhibit strict data dependences among iterations and parallel calculation inside an iteration. In this environment it is necessary to consider the unbalance both processing power and communication bandwidth of fixed and portable computers to avoid long idle times. To solve this problem, in our previous work we developed an efficient load balancing method that considers the heterogeneity both in computing and in communication, and besides, it keeps in mind that the number of processes can vary at run time (processes spawned on portable computers). To program this method is a hard task because it implements a complex mechanism to estimate the data distribution which uses a framework based on simple network management protocol (SNMP) that has to synchronize with the parallel program to share performance information about computers. For that reason, we present a library that implements our method of load balancing to ease the programming.
一个用于在LAN-WLAN环境中实现主/从应用程序负载平衡的库
局域网(LAN)和无线局域网(WLAN)的组合是进行并行计算的有用环境。我们使用这个基础架构来实现主/从并行分布式程序,这些程序在迭代之间和迭代内部的并行计算之间表现出严格的数据依赖性。在这种环境下,需要考虑固定计算机和便携式计算机的处理能力和通信带宽的不平衡,以避免长时间的空闲时间。为了解决这个问题,在我们之前的工作中,我们开发了一种有效的负载平衡方法,该方法考虑了计算和通信中的异质性,此外,它记住了进程的数量在运行时可以变化(在便携式计算机上生成的进程)。该方法的编程是一项艰巨的任务,因为它实现了一种复杂的机制来估计数据分布,它使用基于简单网络管理协议(SNMP)的框架,该框架必须与并行程序同步以共享计算机的性能信息。出于这个原因,我们提供了一个库来实现我们的负载平衡方法,以简化编程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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