Title
SHARP: A Scalable Framework for Dynamic Joint Replica Placement and Request Routing Scheduling
Abstract
This paper presents SHARP: a scalable framework for Dynamic Joint Replica Placement and Request Routing (DJRPRR) scheduling in content delivery networks. After grouping similar proxies and modeling them by a single section, we propose a hierarchical scheduling framework to greatly reduce the dimensions of the mathematical formulation. In every phase the obtained shaped formulation has an easy-solvable form and the complete optimization process is highly scalable. To verify the scalability and effectiveness of our approach, SHARP is evaluated by comprehensive experiment settings which are derived from realistic data/topology of an operational commercial CDN.
Year
DOI
Venue
2011
10.1109/GLOCOM.2011.6134134
GLOBECOM
Keywords
Field
DocType
optimisation,cdn,optimization process,scheduling,content delivery networks,mathematical analysis,computer networks,request routing scheduling,dynamic joint replica placement scheduling,mathematical formulation,djrprr scheduling,sharp,telecommunication network routing,dynamic scheduling,quality of service
Lottery scheduling,Replica,Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Computer network,Two-level scheduling,Real-time computing,Rate-monotonic scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Conference
Volume
Issue
ISSN
null
null
1930-529X E-ISBN : 978-1-4244-9267-1
ISBN
Citations 
PageRank 
978-1-4244-9267-1
1
0.37
References 
Authors
4
6
Name
Order
Citations
PageRank
Yi Wang13514.57
Chen Tian2378.36
Hongbo Jiang398580.52
Xue Liu43058193.41
Jinhua Chen510.37
Wenyu Liu63131170.07