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A scalable multi-attribute hybrid overlay for range queries on the cloud

机译:可扩展的多属性混合覆盖,用于在云上进行范围查询

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摘要

Cloud computing has become a promising paradigm as next generation computing model, by providing computation, software, data access, and storage services that do not need to know the location of physical resources interconnected across the globe providing such services. In such an environment, important issues as information sharing and resource/ service discovery arise. In order to overcome critical limitations in centralized approaches for information sharing and resource/service discovery, this paper proposes a framework of a scalable multi-attribute hybrid overlay featured with decentralized information sharing, flexible resource/service discovery, fault tolerance and load balancing. Additionally, the proposed hybrid overlay integrates a structured P2P system with an unstructured one to support complex queries. Mechanisms such as load balancing and fault tolerance implemented in our proposed system to improve the overall system performance are also discussed. Experimental results show that the performance of the proposed approach is feasible and stable, as the proposed hybrid overlay improves system performance by reducing the number of routing hops and balancing the load by migrating requests.
机译:通过提供不需要知道提供此类服务的全球互连物理资源的位置的计算,软件,数据访问和存储服务,云计算已成为下一代计算模型的有希望的范例。在这样的环境中,出现了诸如信息共享和资源/服务发现之类的重要问题。为了克服集中式信息共享和资源/服务发现方法中的关键限制,本文提出了一种可扩展的多属性混合覆盖框架,该框架具有分散的信息共享,灵活的资源/服务发现,容错和负载平衡的功能。此外,建议的混合覆盖将结构化的P2P系统与非结构化的P2P系统集成在一起,以支持复杂的查询。还讨论了在我们提出的系统中实现的诸如负载平衡和容错之类的机制,以提高整体系统性能。实验结果表明,所提出的方法的性能是可行且稳定的,因为所提出的混合覆盖通过减少路由跳数和通过迁移请求来平衡负载来提高系统性能。

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