论文推荐 负载均衡 Load Balancing

本文探讨了多种负载均衡算法在分布式存储系统中的应用,包括SUORA、ASURA、SPOCA和CRUSH等。这些算法旨在实现数据的均匀分布,提高系统性能和可扩展性,并解决热点问题。同时,还引用了Karger等人提出的Consistent Hashing算法,该算法用于缓解Web服务中的热点流量。

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  1. Zhou J, Xie W, Noble J, et al. SUORA: A Scalable and Uniform Data Distribution Algorithm for Heterogeneous Storage Systems[C]// IEEE International Conference on Networking, Architecture and Storage. IEEE, 2016:1-10.
  2. Ishikawa K. ASURA: Scalable and Uniform Data Distribution Algorithm for Storage Clusters[J]. Computer Science, 2013.
  3. Chawla A, Reed B, Juhnke K, et al. Semantics of caching with SPOCA: a stateless, proportional, optimally-consistent addressing algorithm[C]// Usenix Conference on Usenix Technical Conference. USENIX Association, 2011:33-33.
  4. Weil S A, Brandt S A, Miller E L, et al. CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data[C]// SC 2006 Conference, Proceedings of the ACM/IEEE. IEEE, 2006:31-31.
  5. Honicky R J, Miller E L. Replication under scalable hashing: a family of algorithms for scalable decentralized data distribution[C]// Parallel and Distributed Processing Symposium, 2004. Proceedings. International. IEEE, 2004:96.
  6. Karger, David, Lehman, et al. Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the World Wide Web[J]. Stoc, 2001(1):654-663.
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