Paper Info
Title
Providing Geo-Elasticity in Geographically Distributed Clouds.
Abstract
Geographically 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 adequate for delivering the best possible performance for modern web applications that observe both temporal and spatial workload fluctuations. We propose GeoScale, a system that provides geo-elasticity by combining model-driven proactive and agile reactive provisioning approaches. GeoScale can dynamically provision server capacity at any location based on workload dynamics. We conduct a detailed evaluation of GeoScale on Amazon’s geo-distributed cloud and show up to 40% improvement in the 95th percentile response time when compared to traditional elasticity techniques.
Year
DOI
Venue
2017
10.1145/3169794
ACM Trans. Internet Techn.
Keywords
Field
DocType
Geo-distributed clouds, dynamic resource management
Cloud provisioning,Workload,Computer science,Response time,Agile software development,Provisioning,Web application,Elasticity (economics),Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
18
3
1533-5399
Citations 
PageRank 
References 
0
0.34
37
Authors
2
Name
Order
Citations
PageRank
Tian Guo1965.34
Prashant J. Shenoy26386521.30