DocumentCode
667146
Title
Portable Autoscaler for Managing Multi-cloud Elasticity
Author
Wadia, Yohan ; Gaonkar, Rohini ; Namjoshi, Jyoti
Author_Institution
Cloud Services, Res. & Innovation Group, iGATE Corp., Mumbai, India
fYear
2013
fDate
15-16 Nov. 2013
Firstpage
48
Lastpage
51
Abstract
Ability to scale resources up or down dynamically as per changes in workload conditions is one of the key features of clouds. We present here a framework for elastic scaling of cloud resources that is portable across clouds from a wide range of private and public cloud providers and that can be easily integrated with other frameworks.
Keywords
cloud computing; resource allocation; cloud resources; elastic scaling; multicloud elasticity management; portable autoscaler; private cloud providers; public cloud providers; workload conditions; Cloud computing; Engines; Measurement; Monitoring; Scalability; Standards; User interfaces; Auto-scaling; Automated Cloud Management; Autoscaler; Autoscaling; Cloud Computing; Cloud Management and Monitoring; Cloud Scalability Management; Dynamic Scaling; Hybrid Cloud Management; Multi-cloud; Private Cloud Management; Unified Cloud Management;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud & Ubiquitous Computing & Emerging Technologies (CUBE), 2013 International Conference on
Conference_Location
Pune
Print_ISBN
978-1-4799-2234-5
Type
conf
DOI
10.1109/CUBE.2013.19
Filename
6701474
Link To Document