TY - JOUR
T1 - Monitoring IaaS using various cloud monitors
AU - Stephen, Absa
AU - Benedict, Shajulin
AU - Kumar, R. P.Anto
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - In cloud computing, the performance of infrastructure as a service is critical because of its divergence in area. The cloud providers guarantee that the resources will be available around the clock. The providers assure that the period of unavailability of resources is very less. Recently the cloud users have increased rapidly; therefore the providers also have increased, basically increasing the complexity of the infrastructure. This complex infrastructure should be allocated properly to the users and the availability of resources should be notified to the users. So monitoring of these resources constantly is critical. In this analysis, comparison of various monitoring tools in terms of SLA parameters are measured and tabulated. For the comparison, the Amazon cloud instances are monitored with three different monitoring tools like CloudWatch monitoring, IDERA uptime cloud monitor and ManageEngine applications manager. The SLA parameters of IaaS are CPU utilization, network in, network out, disk read, disk write, response time and memory usage. In addition with Amazon instances, servers like Tomcat and data base like PostgreSQL are also monitored and their performance parameters are also analyzed. The instances monitored by cloudwatch monitoring gives twice the range of CPU Utilization than the others. The network data transfer is also high using cloudwatch.
AB - In cloud computing, the performance of infrastructure as a service is critical because of its divergence in area. The cloud providers guarantee that the resources will be available around the clock. The providers assure that the period of unavailability of resources is very less. Recently the cloud users have increased rapidly; therefore the providers also have increased, basically increasing the complexity of the infrastructure. This complex infrastructure should be allocated properly to the users and the availability of resources should be notified to the users. So monitoring of these resources constantly is critical. In this analysis, comparison of various monitoring tools in terms of SLA parameters are measured and tabulated. For the comparison, the Amazon cloud instances are monitored with three different monitoring tools like CloudWatch monitoring, IDERA uptime cloud monitor and ManageEngine applications manager. The SLA parameters of IaaS are CPU utilization, network in, network out, disk read, disk write, response time and memory usage. In addition with Amazon instances, servers like Tomcat and data base like PostgreSQL are also monitored and their performance parameters are also analyzed. The instances monitored by cloudwatch monitoring gives twice the range of CPU Utilization than the others. The network data transfer is also high using cloudwatch.
KW - Availability
KW - Monitoring
KW - Performance analysis
KW - Servers
KW - Software as a service
UR - https://www.scopus.com/pages/publications/85040226423
U2 - 10.1007/s10586-017-1657-y
DO - 10.1007/s10586-017-1657-y
M3 - Article
AN - SCOPUS:85040226423
SN - 1386-7857
VL - 22
SP - 12459
EP - 12471
JO - Cluster Computing
JF - Cluster Computing
ER -