DocumentCode
868622
Title
Signaling architectures and recovery time scaling for grid applications in IST Project MUPBED
Author
Szegedi, Peter ; Lakatos, Zsolt ; Späth, Jan
Author_Institution
Magyar Telekom, Hungary
Volume
44
Issue
3
fYear
2006
fDate
3/1/2006 12:00:00 AM
Firstpage
74
Lastpage
82
Abstract
It is now evident to the research community that local computational resources cannot keep up in an economical way with the demands generated by some users/applications. Therefore, distributed computing and the concept of a computational grid are now emerging. Novel transport network concepts are needed to support such visions, and high-speed intelligent optical networking may be the required infrastructure that will enable global grids. Emerging utility grid applications like business continuity and disaster recovery have strong requirements on the dynamic optical networks connecting the distributed grid resources. Supporting grid networking with an intelligent optical network (ION) infrastructure will allow utility grid applications the necessary flexibility with the required QoS (e.g., high bandwidth, reliability, limited delay). Emerging QoS requirements, such as scalable recovery time, highly depend on the ION´s signaling architecture. This article gives simple analytical models for the implementation options of optical control plane signaling, shows simulation models for different resilience strategies, and offers some illustrative numerical comparisons to support the aforementioned efforts. This research area is also discussed, among others, in the European research project Multi-Partner European Testbeds for Research Networking (MUPBED).
Keywords
grid computing; intelligent networks; optical fibre networks; quality of service; telecommunication control; telecommunication signalling; IST Project MUPBED; QoS; distributed computing; grid applications; intelligent optical network; optical control plane signaling; recovery time scaling; signaling architectures; Analytical models; Business continuity; Computational intelligence; Computer architecture; Distributed computing; Grid computing; High speed optical techniques; Intelligent networks; Optical fiber networks; Particle beam optics;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2006.1607869
Filename
1607869
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