NetForager: Geographically-Distributed Network Performance Monitoring of Web Applications

被引:0
|
作者
Dane, Levent [1 ]
Gurkan, Deniz [2 ]
机构
[1] Univ Houston, Comp Sci, Houston, TX 77004 USA
[2] Univ Houston, Comp Engn Technol, Houston, TX USA
关键词
Computer Networks; Performance analysis; Network function virtualization; Application virtualization; Edge computing; TRAFFIC CLASSIFICATION; IDENTIFICATION;
D O I
10.1109/ccwc47524.2020.9031171
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Users connect to web applications for various content and services. In addition to the internet for the global user/customer base, in today's enterprises, most business needs are also served by web applications. The application performance monitoring, testing, and maintenance is a considerable effort when serving customers and business needs. Ensuring a high level of user experience, isolation of network issues from application service performance, and providing a seamless experience independent of the proximity of the end user to the application server are some of the challenges faced in performance assurance efforts. In this respect, a reliable testing and monitoring mechanism for application performance is essential to business continuity. Furthermore, virtualization technologies along with extensive mobility adds tremendous challenge to collection of reliable and isolated data in conducting performance monitoring for any application. In this paper, we present the results of a comprehensive network traffic analysis conducted in a geographically distributed manner for over 15 representative web applications. We report that web applications utilize a wide range of bandwidth capacity due to location of the dynamic content and the time of day that the data may be retrieved. The variations create an inconsistent performance level in their network usage metrics. Our reported metrics such as the duration of complete web data transfer and bandwidth utilization can help enterprises, network engineers, and service providers in fine tuning their services. Our approach does not contain sensitive user information, allows for extensive configuration and customization of the framework, and finally, data capture processes have a built-in sharing mechanism for repeatable network experiments through a data collection description language.
引用
收藏
页码:142 / 149
页数:8
相关论文
共 50 条
  • [1] CENTRALIZED ANALYSIS OF GEOGRAPHICALLY-DISTRIBUTED NETWORK TRAFFIC
    Lapshin, V. V.
    [J]. PRIKLADNAYA DISKRETNAYA MATEMATIKA, 2008, 2 (02): : 84 - 86
  • [2] Implementation of a Radio over Fiber System in a Geographically-distributed Optical Network
    Cerqueira, S. Arismar, Jr.
    Valente e Silva, D. C.
    Fortes, M. A. Q. R.
    da Silva, L. F.
    Branquinho, O. C.
    Abbade, M. L. F.
    [J]. PIERS 2009 BEIJING: PROGESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PROCEEDINGS I AND II, 2009, : 649 - 651
  • [3] Verification of State Programs of Geographically-Distributed Economic Systems
    Kovazhenkov, Mikhail A.
    Fedotova, Gilyan V.
    Kurbanov, Timur K.
    Uchurova, Elena O.
    Zerenova, Baira I.
    [J]. FUTURE OF THE GLOBAL FINANCIAL SYSTEM: DOWNFALL OR HARMONY, 2019, 57 : 1043 - 1053
  • [4] Collaborative Creation of Engineering Artifacts by Geographically-Distributed Teams
    Siegel, Neil
    Madni, Azad
    [J]. 17TH ANNUAL CONFERENCE ON SYSTEMS ENGINEERING RESEARCH (CSER), 2019, 153 : 250 - 259
  • [5] "Curriculum swaps" as a pathway into a geographically-distributed instructional community
    Olmstead, Alice
    Turpen, Chandra
    [J]. 2018 PHYSICS EDUCATION RESEARCH CONFERENCE (PERC), 2019,
  • [6] Decentralized scheduling algorithms of geographically-distributed computer systems
    Kurnosov, Mikhail G.
    Paznikov, Alexey A.
    [J]. VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE, 2012, 18 (01): : 133 - 142
  • [7] PlanetLab Europe as Geographically-Distributed Testbed for Software Development and Evaluation
    Komosny, Dan
    Pang, Shaoning
    Pruzinsky, Jan
    Ilko, Pavol
    Polasek, Jakub
    [J]. ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2015, 13 (02) : 137 - 146
  • [8] SWAN: WAN-aware Stream Processing on Geographically-distributed Clusters
    Song, Won Wook
    Jeon, Myeongjae
    Chun, Byung-Gon
    [J]. PROCEEDINGS OF THE 13TH ACM SIGOPS ASIA-PACIFIC WORKSHOP ON SYSTEMS, APSYS 2022, 2022, : 78 - 84
  • [9] Appendable-block Blockchain Evaluation over Geographically-Distributed IoT Networks
    de Arruda, Eduardo H. P.
    Lunardi, Roben C.
    Nunes, Henry C.
    Zorzo, Avelino E.
    Michelin, Regio A.
    [J]. 2020 IEEE INTERNATIONAL BLACK SEA CONFERENCE ON COMMUNICATIONS AND NETWORKING (BLACKSEACOM), 2020,
  • [10] Comparison of upper thermal limits among geographically-distributed populations of the mosquito, Culex tarsalis
    Vorhees, Ashley
    Gray, Emilie
    Bradley, Timothy
    [J]. INTEGRATIVE AND COMPARATIVE BIOLOGY, 2012, 52 : E184 - E184