期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2014
卷号：2014
DOI：10.1155/2014/196040
出版社：Hindawi Publishing Corporation
摘要：Owing to the acceleration of IoT- (Internet of Things-) based wireless sensor networks, cloud-computing services using Big Data are rapidly growing. In order to manage and analyze Big Data efficiently, Hadoop frameworks have been used in a variety of fields. Hadoop processes Big Data as record values by using MapReduce programming in a distributed environment. Through MapReduce, data are stored in a Hadoop file system, and that form is not structured but unstructured. For this, it is not easy to grasp the cause, although inaccurate and unreliable data occur in the process of Hadoop-based MapReduce. As a result, Big Data may lead to a fatal flaw in the system, possibly paralyzing services. There are existing tools that monitor Hadoop systems’ status. However, the status information is not related to inner structure of Hadoop system so it is not easy to analyze Hadoop systems. In this paper, we propose an intrusive analyzer that detects interesting events to occur in distributed processing systems with Hadoop in wireless sensor networks. This tool guarantees a transparent monitor as using the JDI (Java debug interface).
