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    Cache Management in Scalable Network Servers

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    Author
    Pai, Vivek
    Date
    July 13, 2000
    Abstract
    For many users, the perceived speed of computing is increasingly dependent on the performance of network server systems, underscoring the need for high performance servers. Cost-effective scalable network servers can be built on clusters of commodity components (PCs and LANs) instead of using expensive multiprocessor systems. However, network servers cache files to reduce disk access, and the cluster's physically disjoint memories complicate sharing cached file data. Additionally, the physically disjoint CPUs complicate the problem of load balancing. This work examines the issue of cache management in scalable network servers at two levels—per-node (local) and cluster-wide (global). Per-node cache management is addressed by the IO-Lite unified buffering and caching system. Applications and various parts of the operating system currently use incompatible buffering schemes, resulting in unnecessary data copying. For network servers, overall throughput drops for two reasons—copying wastes CPU cycles, and multiple copies of data compete with the filesystem cache for memory. IO-Lite allows applications, the operating system, file system, and network code to safely and securely share a single copy of data. The cluster-wide solution uses a technique called Locality-Aware Request Distribution (LARD) that examines the content of incoming requests to determine which node in a cluster should handle the request. LARD uses the request content to dynamically partition the incoming request stream. This partitioning increases the file cache hit rates on the individual nodes, and it maintains load balance in the cluster.
    Description
    This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/19544
    Citation
    Pai, Vivek. "Cache Management in Scalable Network Servers." (2000) https://hdl.handle.net/1911/96513.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96513
    Rights
    You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map