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首页> 外文期刊>International Journal of Distributed and Parallel Systems >Advanced Diffusion Approach to Dynamic Load-Balancing for Cloud Storage
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Advanced Diffusion Approach to Dynamic Load-Balancing for Cloud Storage

机译：用于云存储动态负载平衡的高级扩散方法

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摘要

Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time. Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged.
机译：负载平衡技术已成为由不同容量的节点的复杂异构网络组成的云存储系统中的关键功能。但是，随着系统中节点数，网络直径和通信开销的增加，任何负载均衡算法的收敛速度及其性能都会下降。因此，本文提出了一种旨在不扩大系统规模的方法，换言之，允许通过添加更多节点来扩展系统，而无需增加每个节点的功能，同时又提高了整体性能。系统。同样，我们的建议旨在通过不仅考虑将影响算法性能的参数，而且简化将执行算法的网络结构来提高性能。我们的建议通过数学分析和计算机仿真进行了评估，并与集中式方法和原始扩散技术进行了比较。结果表明，我们的解决方案在吞吐量和响应时间方面均胜过它们。最后，我们证明了我们的建议收敛于平衡状态，在该状态下，所有域内节点的负载都相同，因为每个节点都收到与其容量成比例的负载量。因此，我们得出结论，此方法将具有公平，简单且没有节点特权的优点。

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