Performance Analysis of Cloud-Based Application

被引:1
|
作者
Budai, Peter [1 ]
Goldschmidt, Balazs [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Control Engn & Informat, Budapest, Hungary
关键词
Cloud computing; Performance analysis; Load generation; Test framework; FRAMEWORK;
D O I
10.1007/978-3-662-43880-0_54
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing, and IaaS cloud services in particular suit well to resource-intensive applications by offering on-demand allocation of computing power, storage space and network bandwidth together with pay-as-you-go billing system. Typical cloud applications consist of several interdependent components, all residing on one or more dedicated virtual computers. In order to be able to accurately estimate the resource requirements of a specific component, one must carry out detailed performance analysis. In this paper, we present the general concepts and pitfalls of performance analysis in the cloud environment. Then we present a lightweight distributed framework that is capable of generating load to and collecting performance metrics from the component instances. The capabilities of our framework will be demonstrated on a case study of the scalability analysis of a distributed MySQL relational database management system.
引用
收藏
页码:476 / 483
页数:8
相关论文
共 50 条
  • [21] Performance Evaluation of Cloud-based RDBMS through a Cloud Scripting Language
    Charao, Andrea S.
    Hoffmann, Guilherme F.
    Steffenel, Luiz A.
    Pinheiro, Manuele K.
    Stein, Benhur de O.
    ICEIS: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 1, 2017, : 332 - 337
  • [22] A Simple Application: Cloud-Based Vehicle Tracking System
    Nag, Anindya
    Mobin, Gulfishan
    Kar, Anwesha
    Das, Ayontika
    Soubhik, Kar
    JOURNAL OF INFORMATION ASSURANCE AND SECURITY, 2023, 18 (03): : 67 - 78
  • [23] AlarmSoft: An Advanced Cloud-based Alarm Management Application
    Abulaban, Abdula
    Imtiaz, Syed
    Ahmed, Salim
    2022 IEEE INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF INDUSTRIAL PROCESSES (ADCONIP 2022), 2022, : 343 - 348
  • [24] Application Requirements with Preferences in Cloud-based Information Processing
    di Vimercati, Sabrina De Capitani
    Livraga, Giovanni
    Piuri, Vincenzo
    2016 IEEE 2ND INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGIES FOR SOCIETY AND INDUSTRY LEVERAGING A BETTER TOMORROW (RTSI), 2016, : 401 - 405
  • [25] A Cloud-Based Application for Smart Irrigation Management System
    Younes, Mustafa
    Salman, Adnan
    2021 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2021), 2021, : 85 - 92
  • [26] The development and application of the cloud-based climate operational platform
    Zhang, Siqi
    Wu, Huanping
    Li, Mei
    Liu, Bei
    Shao, Pengcheng
    CLIMATE SERVICES, 2025, 38
  • [27] Facenet: A Cloud-Based Application Framework for Social Network
    Hu, Yiteng
    2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 663 - 666
  • [28] A DETAILED METHODOLOGY FOR CLOUD-BASED DAYLIGHT ANALYSIS
    Truesdell, Kerger
    Corney, Andrew
    Bajic, Vladimir
    2018 BUILDING PERFORMANCE ANALYSIS CONFERENCE AND SIMBUILD, 2018, : 367 - 373
  • [29] Cloud-based analysis of genomic data completed
    Crews, Kasumi
    BIOANALYSIS, 2014, 6 (01) : 11 - 11
  • [30] A Cloud-based Brain Connectivity Analysis Tool
    Brattain, Laura
    Bulugioiu, Mihnea
    Brewster, Adam
    Hernandez, Mark
    Choi, Heejin
    Ku, Taeyun
    Chung, Kwanghun
    Gadepally, Vijay
    2017 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2017,