Spatio-Temporal Web Performance Prediction: Turning Bands Method and Sequential Gaussian Simulation

被引:0
|
作者
Borzemski, Leszek [1 ]
Danielak, Michal [1 ]
Kaminska-Chuchmala, Anna [1 ]
机构
[1] Wroclaw Univ Technol, Fac Comp Sci & Management, Dept Comp Sci, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
关键词
Web application normal load testing; performance evaluation; Turning Bands Method; Sequential Gaussian Simulation; Spatio-temporal prediction;
D O I
10.1016/j.procs.2016.08.236
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents a novel geostatistical approach in Web engineering that allows not only to evaluate but also to predict Web applications performance. The approach presented in this article can be used for two purposes: the first, to find (or forecast) which of the considered web servers are running web applications in the most efficient way and the second, to check (or forecast) if an evaluated web software meets given performance criteria. The first part of this paper briefly elucidates two geostatistical methods used in this research: the Turning Bands Method and Sequential Gaussian Simulation. The second part characterises the multiagent system MWING, a software solution that by conducting active measurements collects data necessary for analysing, evaluating and forecasting Web applications performance. The final part presents a case study of web performance prediction approaches proposed by the authors. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:568 / 576
页数:9
相关论文
共 50 条
  • [41] Spatio-Temporal Prediction of Dialectal Variant Usage
    Jeszenszky, Peter
    Siriaraya, Panote
    Stoeckle, Philipp
    Jatowt, Adam
    1ST INTERNATIONAL WORKSHOP ON COMPUTATIONAL APPROACHES TO HISTORICAL LANGUAGE CHANGE, 2019, : 186 - 195
  • [42] EasyST: A Simple Framework for Spatio-Temporal Prediction
    Tang, Jiabin
    Wei, Wei
    Xia, Lianghao
    Huang, Chao
    PROCEEDINGS OF THE 33RD ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2024, 2024, : 2220 - 2229
  • [43] Towards spatio-temporal crime events prediction
    Alghamdi, Jawaher
    Al-Dala'in, Thair
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (07) : 18721 - 18737
  • [44] Spatio-Temporal NDVI Prediction for Rice Crop
    Anamika Dey
    Somrita Sarkar
    Arijit Mondal
    Pabitra Mitra
    SN Computer Science, 6 (3)
  • [45] Spatio-temporal Graph Learning for Epidemic Prediction
    Yu, Shuo
    Xia, Feng
    Li, Shihao
    Hou, Mingliang
    Sheng, Quan Z.
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 14 (02)
  • [46] Flexible Spatio-Temporal Networks for Video Prediction
    Lu, Chaochao
    Hirsch, Michael
    Scholkopf, Bernhard
    30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 2137 - 2145
  • [47] Towards spatio-temporal crime events prediction
    Jawaher Alghamdi
    Thair Al-Dala’in
    Multimedia Tools and Applications, 2024, 83 : 18721 - 18737
  • [48] Bayesian spatio-temporal prediction of cancer dynamics
    Vlad, Iulian T.
    Juan, Pablo
    Mateu, Jorge
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2015, 70 (05) : 857 - 868
  • [49] 3D Web Performance Forecasting Using Turning Bands Method
    Borzemski, Leszek
    Kaminska-Chuchmala, Anna
    COMPUTER NETWORKS, 2011, 160 : 102 - 113
  • [50] Simulation of Wind Speeds with Spatio-Temporal Correlation
    Cordeiro-Costas, Moises
    Villanueva, Daniel
    Feijoo-Lorenzo, Andres E.
    Martinez-Torres, Javier
    APPLIED SCIENCES-BASEL, 2021, 11 (08):