DocumentCode :
3298645
Title :
Workload Monitoring in Hybrid Clouds
Author :
Naik, Vijay K. ; Beaty, K. ; Vogl, Norbert ; Sanchez, Javier
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
816
Lastpage :
822
Abstract :
In this paper, we describe architecture and design of an innovative integrated monitoring solution for monitoring workloads in a hybrid cloud. Using off-the-shelf commercially available monitoring products and services, the solution described here allows for monitoring of a workload deployed across public and private clouds separated by enterprise firewall. The monitored data from endpoints distributed across the hybrid cloud is aggregated in a centralized monitoring system for analysis and for performing higher level management functions. Our solution is automated and can be integrated with other IT service management functions. The solution can leverage any endpoint monitoring functions and services a cloud service provider may offer. The monitoring framework described in this paper forms the basis for the hybrid cloud monitoring capability in IBM´s hybrid cloud offering,IBM Service Management Extensions for Hybrid Cloud.
Keywords :
cloud computing; computerised monitoring; firewalls; IBM hybrid cloud offering; IBM service management extensions; IT service management functions; centralized monitoring system; endpoint monitoring functions; endpoint monitoring services; enterprise firewall; hybrid cloud monitoring capability; innovative integrated monitoring solution; private clouds; public clouds; workload monitoring; Automation; Cloud computing; Logic gates; Monitoring; Portals; Security; Servers; Hybrid cloud; ITM; hybrid cloud integrator; hybrid cloud workload monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
Type :
conf
DOI :
10.1109/CLOUD.2013.145
Filename :
6740228
Link To Document :
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