Name
Abstract | ||
|---|---|---|
With the development of cloud computing technology, it is becoming increasingly important to monitor and manage the cloud resources. For the cloud resources show the features of diversity, dynamic and large-scale, it consumes a lot of server resources while the monitoring data stores on one server, and it's also not efficient for querying data. Therefore this paper presents a scalable and integrated cloud monitoring framework based on distributed storage. It is facilitated for operation and maintenance personnel and end users to check the operating status on the cloud platform by accessing an integrated monitoring interface, while taking a distributed storage of monitoring data. It also improves query efficiency, ensures the stability of the cloud platform and the quality of services. Proved by experiments that the framework is general applicability, and it is an effective way to support the cloud platform monitoring. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WISA.2013.66 | IEEE WISA |
Keywords | Field | DocType |
server resource,cloud resource,distributed storage,cloud computing technology,data querying,cloud platform monitoring,scalable cloud monitoring framework,monitoring,quality of service,storage management,cloud platform,query efficiency,diversity,integrated cloud monitoring framework,integrated monitoring interface,end user,monitoring data store,cloud computing,stability,cloud resources,querying data,quality of services,integrated cloud monitoring,cloud monitoring framework,query processing,dynamic | Computer science,Distributed data store,Server,Quality of service,Cloud computing security,Distributed database,Database,Cloud testing,Cloud computing,Scalability | Conference |
ISBN | Citations | PageRank |
978-1-4799-3218-4 | 5 | 0.49 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hou Yongdnog | 1 | 5 | 0.49 |
| Jing Wang | 2 | 22 | 4.50 |
| Zhuofeng Zhao | 3 | 66 | 15.46 |
| Yanbo Han | 4 | 500 | 59.74 |