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Load rebalancing for Hadoop Distributed File System using distributed hash table

机译:使用分布式哈希表对Hadoop分布式文件系统进行负载平衡

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All the machines are required to be under a common administrator and be able to communicate securely. To communicate securely, Advanced Encryption Standard (AES) algorithm is used to enable protection of data at each clusters. It performs encryption and decryption before read and write respectively. Encryption and Decryption in key is used for securing Hadoop Distributed File System. The existing system depends on a single name node to manage almost all operations of every data block in the file system. As a result it can be a bottleneck resource and a single point of failure. To overcome this failure, Load Rebalancing Algorithm is used for Hadoop Distributed File System using Distributed Hash Table. The Proposed load rebalancing algorithm will be compared against a centralized approach in a production system and a competing distributed solution is presented in the literature. The storage nodes are structured as a network based on distributed hash table discovering a file chunk can simply refer to rapid key lookup in DHTs, given that a unique handle (or identifier) is assigned to each file chunk.
机译:所有机器都必须由共同的管理员管理,并且必须能够安全通信。为了安全地进行通信,高级加密标准(AES)算法用于在每个群集上启用数据保护。它分别在读取和写入之前执行加密和解密。密钥中的加密和解密用于保护Hadoop分布式文件系统。现有系统依靠一个名称节点来管理文件系统中每个数据块的几乎所有操作。结果,它可能是瓶颈资源和单点故障。为了克服此故障,负载均衡算法用于使用分布式哈希表的Hadoop分布式文件系统。建议的负载平衡算法将与生产系统中的集中式方法进行比较,并且在文献中提供了竞争性分布式解决方案。存储节点被构造为基于分布式哈希表的网络,发现一个文件块可以简单地引用DHT中的快速键查找,只要为每个文件块分配了唯一的句柄(或标识符)即可。

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