私有云存储负载均衡算法

B. Prabavathy, K. Priya, C. Babu
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引用次数: 13

摘要

云计算支持按需网络访问可配置计算资源(如服务器、存储和应用程序)的共享池。这些共享资源可以快速供应给消费者,前提是只需为消费者使用的资源付费。云存储是指将存储资源通过互联网交付给消费者。私有云存储仅限于特定的组织,与公共云存储相比,数据安全风险更小。因此,私有云存储是通过利用组织内的商用机器来构建的,重要的数据存储在其中。当此类私有云存储的利用率增加时,存储需求也会随之增加。导致云存储扩容,增加存储节点。在扩容过程中,云存储中存储节点的负载需要均衡。为了维持跨多个存储节点的负载,需要跨存储节点进行数据迁移。数据迁移会占用较多的网络带宽。本文的核心思想是开发一种动态负载均衡算法,在私有云存储扩展过程中实现存储节点间的负载均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A load balancing algorithm for private cloud storage
Cloud computing enables on-demand network access to a shared pool of configurable computing resources such as servers, storage and applications. These shared resources can be rapidly provisioned to the consumers on the basis of paying only for whatever they use. Cloud storage refers to the delivery of storage resources to the consumers over the Internet. Private cloud storage is restricted to a particular organization and data security risks are less compared to the public cloud storage. Hence, private cloud storage is built by exploiting the commodity machines within the organization and the important data is stored in it. When the utilization of such private cloud storage increases, there will be an increase in the storage demand. It leads to the expansion of the cloud storage with additional storage nodes. During such expansion, storage nodes in the cloud storage need to be balanced in terms of load. In order to maintain the load across several storage nodes, the data need to be migrated across the storage nodes. This data migration consumes more network bandwidth. The key idea behind this paper is to develop a dynamic load balancing algorithm to balance the load across the storage nodes during the expansion of private cloud storage.
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