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A simple, adaptable and efficient heterogeneous multi-tenant database architecture for ad hoc cloud

机译:用于ad hoc云的简单,适应性和高效的异构多租户数据库架构

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Data management and sharing is the challenge being faced by all the IT majors today. Adds over it, is the challenge faced by the cloud service providers in terms of multi-tenancy of data and its efficient retrieval. It becomes more complex in a heterogeneous computing environment to provide cloud services. A simple, robust, query efficient, scalable and space saving multi-tenant database architecture is proposed along with an ad hoc cloud architecture where organizations can collaborate to create a cloud, that doesnt harm their existence or profitability. An ad hoc cloud fits very well to the scenario where one wants to venture into remote areas for providing education services using a cloud. The results of the proposed multi-tenant database show 20% to 230% improvement for insertion, deletion and updation-queries. The response of the proposed approach is stable as compared to other system which degrades in terms of response time by 384% for increased number of attributes up to 50. The proposed approach is also space efficient by almost 86%. Dynamically changing cloud configurations requires adaptable database and mechanism to persist and manage data and exploit heterogeneous resources. The proposed ad hoc cloud handles heterogeneity of the involved nodes and deals with node specific granularity while decomposing workloads for efficient utilization of resources.
机译:数据管理和分享是当今所有IT专业所面临的挑战。增加它,是云服务提供商面临的挑战,在数据的多租赁和其有效的检索方面。在异构计算环境中变得更复杂,以提供云服务。提出了一种简单,强大,查询的高效,可扩展和节省空间的多租户数据库架构以及Ad Hoc Cloud架构,其中组织可以协作以创建云,这不会损害他们的存在或盈利能力。 ad hoc云非常适合那些想要在使用云提供教育服务的偏远地区的场景。建议的多租户数据库的结果显示插入,删除和更新查询的20 %至230 %的改进。与其他系统相比,所提出的方法的响应稳定,在响应时间下降384 %,对于高达50的归属数量增加。拟议的方法也是近86 %的空间有效。动态更改云配置需要适应性的数据库和机制,以持续和管理数据并利用异构资源。所提出的ad hoc云处理所涉及的节点的异质性,并处理节点特定粒度,同时分解工作负载以获得资源的有效利用率。

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