Proposal of a resource-monitoring improvement system using amazon web service API

Kyu Ik Kim, Musa Ibrahim M. Ishag, Myungsic Kim, Jin Suk Kim, Keun Ho Ryu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cloud computing uses virtualization technology to segment mass computing resources into various service types, such as Infrastructure as a Service, Platform as a Service, and Software as a Service. The system manager does not need to manage hardware, resource expansion and reduction are convenient, and management is not restricted by time or space. The initial cost for installing mass servers and establishing service infrastructure can be effectively reduced. Amazon, IBM, and Microsoft are the main global vendors that provide the cloud computing service. They globally distribute and manage high-availability cloud service resources. However, when resources generated by users are in different management regions, they cannot be integrated and monitored in the management page provided by the service vendor. In this study, a resource-monitoring service using an API provided by the Amazon Web Service (AWS) was implemented; however, the reception latency time occurred continuously because information is received through the API every time the page changes from the actual service step. To solve these problems, the current condition collector that collects resource information was linked with database management system to enhance the performance by reducing unnecessary requests of calling the AWS API.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
EditorsVincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
PublisherSpringer Verlag
Pages1103-1107
Number of pages5
ISBN (Print)9789811030222
DOIs
StatePublished - 2017
Event11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand
Duration: 19 Dec 201621 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume421
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/TerritoryThailand
CityBangkok
Period19/12/1621/12/16

Keywords

  • Cloud computing
  • System monitoring

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