基于云环境下安全机制的大数据负载重平衡、调度器新方法

Priyanka A. Dhande, A. Kadam
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引用次数: 0

摘要

在云应用中,分布式文件系统是非常核心的技术。计算应用程序的许多功能可以借助文件系统来完成,这类应用程序依赖于分布式编程,并将许多分布式块分配给每个节点;节点接收并行执行的每个单独块。但是节点故障是主要问题,这个问题可以在云上恢复也可以替换和添加到节点上。面对负载不平衡问题;也就是说,文件块没有在所有节点之间正确分配。为此,负载再平衡技术应运而生,负载再平衡具有更高的效率,使系统更高效。对于负载不平衡,我们使用了一种安全的负载再平衡算法,该算法与MD5和DES加密算法合并。结果表明,该方案在安全参数、消息开销和移动开销方面表现良好。对于这项工作,我们是在EC2的分布式文件系统中实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New approach for load rebalancer, scheduler in big data with security mechanism in cloud environment
In cloud applications, distributed file system is very core technology. Many functionalities of computing applications can be performed with the help of file system, such applications is rely on the distributed programming and having a number of distributed chunks are assign to each nodes; node receive each separate chunk that performs in parallel. But failure of node is the major issue, this issue may be recovered in cloud also replaced and added to the nodes. Facing load imbalance problem; that is, the file chunks are not assigning correctly among all the nodes. For that purpose the load rebalancing technique comes into picture, load rebalancing has the more efficiency that makes system more efficient. For load imbalance we use a secure load rebalancing algorithm that merges with the MD5 with DES encryption algorithm. The result shows performs the system in terms of security parameters message overhead and the movement cost for our proposed scheme. For this work we are implementing in distributed file system of the EC2.
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