Performance tuning of large-scale distributed WWW caches

被引:0
|
作者
Srbljic, S [1 ]
Milanovic, A [1 ]
Hadjina, N [1 ]
机构
[1] Univ Zagreb, Sch Elect & Comp Engn, Zagreb 41000, Croatia
关键词
distributed WWW cache; distributed cache management protocol; performance tuning;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
World Wide Web (WWW) caches, such as the Harvest cache, its successor Squid, and a cache proposed by Malpani, Lorch, and Berger from the University of California, Berkeley, (referred to hereafter as the Berkeley cache) implement proxy to proxy communication. This communication mechanism unifies the communicating proxy caches and makes them perform as a single cache that is distributed over multiple proxy machines. In this paper, we investigate how the size of the distributed cache affects its performance. We compare the performance results for two different distributed caches: Squid and Berkeley, We show how to choose the number of proxy machines in a distributed cache in order to avoid network congestion and prevent overloading of the proxy machines.
引用
收藏
页码:93 / 96
页数:4
相关论文
共 50 条
  • [1] Coordinated placement and replacement for large-scale distributed caches
    Korupolu, MR
    Dahlin, M
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2002, 14 (06) : 1317 - 1329
  • [2] Loopback: Exploiting collaborative caches for large-scale streaming
    Kusmierek, E
    Dong, YF
    Du, D
    MULTIMEDIA COMPUTING AND NETWORKING 2005, 2005, 5680 : 65 - 76
  • [3] Loopback: Exploiting collaborative caches for large-scale streaming
    Kusmierek, E
    Dong, YF
    Du, DHC
    IEEE TRANSACTIONS ON MULTIMEDIA, 2006, 8 (02) : 233 - 242
  • [4] Autonomic workload performance tuning in large-scale data repositories
    Basit Raza
    Asma Sher
    Sana Afzal
    Ahmad Kamran Malik
    Adeel Anjum
    Yogan Jaya Kumar
    Muhammad Faheem
    Knowledge and Information Systems, 2019, 61 : 27 - 63
  • [5] Autonomic workload performance tuning in large-scale data repositories
    Raza, Basit
    Sher, Asma
    Afzal, Sana
    Malik, Ahmad Kamran
    Anjum, Adeel
    Kumar, Yogan Jaya
    Faheem, Muhammad
    KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 61 (01) : 27 - 63
  • [6] VisIVOWeb: A WWW Environment for Large-Scale Astrophysical Visualization
    Costa, A.
    Becciani, U.
    Massimino, P.
    Krokos, M.
    Caniglia, G.
    Gheller, C.
    Grillo, A.
    Vitello, F.
    PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 2011, 123 (902) : 503 - 513
  • [7] Can search algorithms save large-scale automatic performance tuning?
    Balaprakash, Prasanna
    Wild, Stefan M.
    Hovland, Paul D.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS), 2011, 4 : 2136 - 2145
  • [8] Large-scale distributed semantic augmented reality services - A performance evaluation
    Ruminski, Dariusz
    Walczak, Krzysztof
    GRAPHICAL MODELS, 2020, 107
  • [9] GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training
    Sun, Peng
    Wen, Yonggang
    Han, Ruobing
    Feng, Wansen
    Yan, Shengen
    IEEE TRANSACTIONS ON BIG DATA, 2022, 8 (02) : 495 - 507
  • [10] Performance Characteristics of Graph500 on Large-Scale Distributed Environment
    Suzumura, Toyotaro
    Ueno, Koji
    Sato, Hitoshi
    Fujisawa, Katsuki
    Matsuoka, Satoshi
    2011 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC), 2011, : 149 - 158