文章基本信息

标题：Data Mining for Data Cloud and Compute Cloud
本地全文：下载
作者：PROF. UZMA ALI ; PROF. PUNAM KHANDAR
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：5
出版社：S&S Publications
摘要：Cloud computing is the use of computing resources (hardware and software) that are delivered as aservice over a network (typically the Internet). The name comes from the use of a cloud-shaped symbol as anabstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts remote serviceswith a user's data, software and computation. A storage cloud provides storage services, while a compute cloudprovides compute services. We describe the design of the Sector storage cloud and how it provides the storage servicesrequired by the Sphere compute cloud. A cloud can be a storage cloud that provides block or file based storage serviceor it can be a compute cloud that provides computational services. Moreover in this paper we have reviewed the designand implementation of sector storage cloud and sphere compute cloud. Sector is the distributed file system, whilesphere is the parallel in-storage data processing framework that can be used to process data stored in sector. Sector andSphere are designed for analyzing large data sets using computer clusters connected with wide area high performancenetworks (for example, 10+ Gb/s). We describe a distributed data mining application that we have developed usingSector and Sphere. Mining association rules is one of the most important aspects in data mining. Association rules aredependency rules which predict occurrence of an item based on occurrences of other items. Sector is the distributed filesystem, while sphere is the parallel in-storage data processing framework that can be used to process data stored insector.
关键词：Cloud Computing; Sector; Sphere; Association Rule; Data Mining