DocumentCode
2765887
Title
Topology Aggregation for E-science Networks
Author
Jung, Eun-Sung ; Ranka, Sanjay ; Sahni, Sartaj
Author_Institution
Comput. & Inf. Sci. & Eng. Dept., Univ. of Florida, Gainesville, FL, USA
fYear
2010
fDate
17-20 May 2010
Firstpage
530
Lastpage
533
Abstract
We propose several algorithms for topology aggregation (TA) to effectively summarize large-scale networks. These TA techniques are shown to significantly better for path requests in e-Science that may consist of simultaneous reservation of multiple paths and/or simultaneous reservation for multiple requests. Our extensive simulation demonstrates the benefits of our algorithms both in terms of accuracy and performance.
Keywords
Cloud computing; Computer networks; Distributed computing; Grid computing; Information science; Large-scale systems; Network topology; Partitioning algorithms; Processor scheduling; Scheduling algorithm; EScience; Multi-domain routing; Topology aggregation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on
Conference_Location
Melbourne, Australia
Print_ISBN
978-1-4244-6987-1
Type
conf
DOI
10.1109/CCGRID.2010.113
Filename
5493442
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