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A simulation tool for evaluating the constraint-based allocation of storage resources for multi-tenant cloud applications

机译:用于评估多租户云应用程序的基于约束的存储资源分配的模拟工具

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摘要

Cloud computing is closely related to multi-tenancy, as it relies on resources that are shared among multiple clients. The provisioning and management of storage resources for cloud applications is an interesting research topic, as reallocation of data over time should be minimised, and the developed strategy should guarantee both data separation and performance isolation for every tenant. In this demo, we present a simulation tool for evaluating and comparing different data allocation strategies. Evaluation using real implementations can be very expensive and time consuming, and is not always possible, due to the scale and complexity of the infrastructure on which they are intended to run. The simulator aids as a tool for inexpensive and rapid evaluation of new techniques, and to validate and finetune new data allocation strategies.
机译:云计算与多租户紧密相关,因为它依赖于多个客户端之间共享的资源。为云应用程序配置和管理存储资源是一个有趣的研究主题,因为应尽量减少随时间推移的数据重新分配,并且已开发的策略应确保每个租户的数据分离和性能隔离。在本演示中,我们提供了一种仿真工具,用于评估和比较不同的数据分配策略。由于实际运行的基础架构的规模和复杂性,使用实际的实施进行评估可能非常昂贵且耗时,并且并非总是可能的。该模拟器有助于对新技术进行廉价且快速的评估,并验证和微调新的数据分配策略。

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