Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-3023-9_171 | ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING |
Keywords | DocType | Volume |
Cloud computing,System monitoring | Conference | 421 |
ISSN | Citations | PageRank |
1876-1100 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyu Ik Kim | 1 | 0 | 0.34 |
| Musa Ibrahim M. Ishag | 2 | 0 | 0.68 |
| Myungsic Kim | 3 | 0 | 0.34 |
| Jin Suk Kim | 4 | 0 | 0.34 |
| Keun Ho Ryu | 5 | 883 | 85.61 |