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Multiple order-preserving hash functions for load balancing in P2P networks

机译:多个保留顺序的哈希函数,用于P2P网络中的负载平衡

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Hash functions are at the heart of data insertion and retrieval in DHT-based overlays. However, a standard hash function destroys the natural ordering of data. To perform efficient range queries processing, more and more systems opt for an order-preserving hash function to place data. Unlike a standard hash function, this technique cannot evenly distribute data among peers. We propose a novel approach to improve the data dissemination using several order-preserving hash functions. We describe a protocol that allows an overloaded peer to change its hash function at runtime. Then, we show that all peers should not necessarily use the same hash function in an overlay to insert or look for an item. Finally, we demonstrate through simulations that this strategy greatly improves the dissemination of data items. To our knowledge, this is the first load balancing solution using multiple order-preserving hash functions in structured overlays.
机译:哈希函数是基于DHT的叠加中数据插入和检索的核心。但是,标准的哈希函数会破坏数据的自然顺序。为了执行有效的范围查询处理,越来越多的系统选择保留顺序的哈希函数来放置数据。与标准哈希函数不同,此技术无法在对等方之间平均分配数据。我们提出了一种新颖的方法,以使用几个保留顺序的哈希函数来改善数据分发。我们描述了一种协议,该协议允许过载的对等方在运行时更改其哈希函数。然后,我们证明所有对等点不一定必须在叠加层中使用相同的哈希函数来插入或查找项目。最后,我们通过仿真证明该策略极大地改善了数据项的分发。据我们所知,这是第一个在结构化叠加层中使用多个保留顺序的哈希函数的负载平衡解决方案。

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