文章基本信息

标题：Research on Task Scheduling Strategy based on the Trustworthiness of MapReduce
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作者：QIN Jun ; SONG Yanyan ; ZONG Ping 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2021
卷号：11
期号：13
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：With the rapid development and popularization of information technology, cloud computing technology provides a good environment for solving massive data processing. Hadoop is an open-source implementation of MapReduce and has the ability to process large amounts of data. Aiming at the shortcomings of the fault-tolerant technology in the MapReduce programming model, this paper proposes a reliability task scheduling strategy that introduces a failure recovery mechanism, evaluates the trustworthiness of resource nodes in the cloud environment, establishes a trustworthiness model, and avoids task allocation to low reliability node, causing the task to be re-executed, wasting time and resources. Finally, the simulation platform CloudSim verifies the validity and stability of the task scheduling algorithm and scheduling model proposed in this paper.
关键词：Cloud Environment;Failure Recovery Mechanism;Task Scheduling Algorithm