Name
Abstract | ||
|---|---|---|
Monitoring of infrastructural resources against a huge number of virtual machines in clouds is a challenging task to system administrators. System management tools are used to collect and provide the utilization of a variety of performance counters of each virtual machine. Such dispersed views cannot reveal the actual performance behavior of virtual machines. To this purpose, a monitoring framework is necessary particularly since cloud hosts are subject to varying load conditions. In this paper, we propose a framework based on sFlow to interpret the resource utilization correctly and in real-time to ease the workload of system administrators. |
Year | Venue | Keywords |
|---|---|---|
2016 | Asia-Pacific Network Operations and Management Symposium-APNOMS | cloud computing,virtual machines,monitoring,performance analysis,sFlow |
Field | DocType | ISSN |
sFlow,Virtual machine,Visualization,Computer science,Workload,Systems management,Virtual machining,Cloud computing,Distributed computing | Conference | 2576-8565 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Afaq | 1 | 2 | 1.73 |
| Wang-Cheol Song | 2 | 54 | 25.56 |