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SkipMard: A Multi-attribute Peer-to-Peer Resource DiscoveryApproach

机译:SkipMard:多属性对等资源发现方法

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Resource discovery technologies for Grids and Peer-to-Peer (P2P) systems share some characteristics. However, some P2P systems such as Skip Graph cannot simply be applied to Grid resource discovery because complex grid resources need to be searched by using multi-attribute queries. This paper proposes a new multi-attribute P2P resource discovery approach (SkipMard) that extends Skip Graph structure to support multi-attribute queries. SkipMard provides a prefix matching resource routing algorithm to resolve multi-attribute queries, and introduces the concepts of "layer" and "crossing layer nearest neighbor" into the data structure. To decrease message passing numbers, an approximate closest-point method is addressed that can help routing a searching key to a node with a key value that has the minimum distance between two keys. Each node has O(m*l) neighbors for total m layers and l levels in SkipMard. The expected time for a multi-attribute query is O(log N) and the message passing number is O(log N)+O(k). Keywords: Resource Discovery, Network, Multi-Attribute, Peer-to-Peer, Grid, SkipMard, DHT.
机译:网格和对等(P2P)系统的资源发现技术具有一些特征。但是,某些P2P系统(例如“跳过图”)不能简单地应用于网格资源发现,因为需要使用多属性查询来搜索复杂的网格资源。本文提出了一种新的多属性P2P资源发现方法(SkipMard),该方法扩展了“跳过图”结构以支持多属性查询。 SkipMard提供了前缀匹配资源路由算法来解决多属性查询,并将“层”和“穿越层最近邻居”的概念引入了数据结构中。为了减少消息传递的数量,提出了一种近似最接近点的方法,该方法可以帮助将搜索键路由到键值在两个键之间具有最小距离的节点。每个节点都有O(m * l)个邻居,用于SkipMard中总共m层和l层。多属性查询的预期时间为O(log N),消息传递号为O(log N)+ O(k)。关键字:资源发现,网络,多属性,对等,网格,SkipMard,DHT。

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