Paper Info
Title
GeoScale: Providing Geo-Elasticity in Distributed Clouds
Abstract
Distributed cloud platforms are well suited for serving a geographically diverse user base. However traditional cloud provisioning mechanisms that make local scaling decisions are not well suited for temporal and spatial workload fluctuations seen by modern web applications. In this paper, we argue the need of geo-elasticity and present GeoScale, a system to provide geo-elasticity in distributed clouds. We describe GeoScale's model-driven proactive provisioning approach and conduct an initial evaluation of GeoScale on Amazon's distributed EC2 cloud. Our results show up to 31% improvement in the 95th percentile response time when compared to traditional elasticity techniques.
Year
DOI
Venue
2016
10.1109/IC2E.2016.40
2016 IEEE International Conference on Cloud Engineering (IC2E)
Keywords
Field
DocType
Distributed Clouds,Resource Management
Resource management,Cloud provisioning,Workload,Computer science,Response time,Provisioning,Web application,Elasticity (economics),Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2373-3845
4
0.37
References 
Authors
11
3
Name
Order
Citations
PageRank
Tian Guo1965.34
Prashant J. Shenoy26386521.30
Hakan Hacigümüs318616.52