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Zu-Jie Ren 《计算机科学技术学报》2010,25(3):482-498
Recently, peer-to-peer (P2P) search technique has become popular in the Web as an alternative to centralized search due to
its high scalability and low deployment-cost. However, P2P search systems are known to suffer from the problem of peer dynamics,
such as frequent node join/leave and document changes, which cause serious performance degradation. This paper presents the
architecture of a P2P search system that supports full-text search in an overlay network with peer dynamics. This architecture,
namely HAPS, consists of two layers of peers. The upper layer is a DHT (distributed hash table) network interconnected by
some super peers (which we refer to as hubs). Each hub maintains distributed data structures called search directories, which could be used to guide the query and to control the search cost. The bottom layer consists of clusters of ordinary
peers (called providers), which can receive queries and return relevant results. Extensive experimental results indicate that HAPS can perform searches
effectively and efficiently. In addition, the performance comparison illustrates that HAPS outperforms a flat structured system
and a hierarchical unstructured system in the environment with peer dynamics. 相似文献
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Recently, peer-to-peer (P2P) search technique has become popular in the Web as an alternative to centralized search due to its high scalability and low deployment-cost. However, P2P search systems are known to suffer from the problem of peer dynamics, such as frequent node join/leave and document changes, which cause serious performance degradation. This paper presents the architecture of a P2P search system that supports full-text search in an overlay network with peer dynamics. This architecture, namely H... 相似文献
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随着云计算的快速发展,云文件系统在云计算基础设施中扮演着越来越重要的角色。尽管目前业界已有不少面向云文件系统的性能评测工具,但大多数评测工具仅关注于传统的系统性能指标,比如IOPS和吞吐量,难以评估云文件系统在多租户环境下的性能隔离性。由于云环境I/O负载的动态性和异构性,所以准确评估云文件系统的隔离性变得更加具有挑战性。提出了一种新型的云文件系统隔离性度量模型,并在一个基准测试工具Porcupine中进行了实现。Porcupine通过模拟真实负载特征的I/O请求,实现对负载与性能的准确仿真并提高文件系统的测试效率。通过对Ceph文件系统的实验,验证了所提出的隔离性度量模型的有效性及准确性。 相似文献
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随着现代互联网数据中心的规模越来越大,数据中心面临着能耗、可靠性、可管理性与可扩展性等方面的挑战。同时,数据中心承载的服务多样,既有在线Web服务,也有离线批处理任务。在线任务要求较低的延迟,而离线任务要求较高的吞吐量。为了提高服务器利用率,降低数据中心能耗,当前数据中心往往将在线任务和离线任务混合部署到同一个计算集群中。在混部场景下,如何同时满足在线和离线任务的不同要求,是目前面临的关键挑战。分析了阿里巴巴于2018年发布的含有4034台服务器的混部计算集群在8天内的日志数据(cluster-trace-v2018),从静态配置信息、动态混部运行状态、离线批处理作业DAG依赖结构等出发,揭示其负载特征,包括任务倾斜与容器部署的相关关系等,根据任务依赖关系与关键路径,提出了相应的任务调度优化策略。 相似文献
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设计一个高性能、高可靠性的分布式文件系统元数据集群,需要解决的一个很重要的问题便是副本一致性。传统的一致性维护方法大多用于保证副本间强一致性,但是强一致性容易对系统的读写性能造成较大影响。该文提出了一种基于键值存储引擎的元数据集群副本一致性管理策略,并从副本的放置、读写、恢复以及更新这4个方面展开详细阐述了具体的维护副本方法,最终实现灵活的、用户可配置的副本一致性约束。而且基于键值的存储方式能有效缓解负载均衡不足、数据可用性和查询性能欠缺的问题,满足元数据信息的高并发、高性能访问需求。 相似文献
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