Study of a novel fast restoration mechanism for data-intensive applications in grid-enabled optical networks

Li Wu; Runze Wu; Yaojun Qiao; Yuefeng Ji

doi:10.1117/12.743128

19 November 2007 Study of a novel fast restoration mechanism for data-intensive applications in grid-enabled optical networks

Li Wu, Runze Wu, Yaojun Qiao, Yuefeng Ji

Author Affiliations +

Proceedings Volume 6784, Network Architectures, Management, and Applications V; 678414 (2007) https://doi.org/10.1117/12.743128
Event: Asia-Pacific Optical Communications, 2007, Wuhan, China

Abstract

During the past few years, gird technology has gained a rapid progress in E-Science, E-education, etc. All these typical grid applications are involved with huge data transacting and collaborating that need a more capable network infrastructure with sufficient bandwidth provisioning and high QOS guarantee other then the traditional Internet. Thus gives birth to the concept of Grid-enabled Optical Network (Optical Grid), which mainly orients to the data-intensive applications. In this paper, we give a vivid definition to Optical Grid, expound the most distinguished characteristics of it, propose a novel SOA-based architecture for it, and then introduce a fast and flexible restoration mechanism, named DIR, based on mature RSVP-TE for its control plane to support data-intensive grid applications, then make a deep analysis and illustration on the proposed mechanism, finally draw a conclusion that the DIR mechanism can achieve much rapid service recovery speed thus be very applicable for the distributed grid environment.

Citation Download Citation

Li Wu, Runze Wu, Yaojun Qiao, and Yuefeng Ji "Study of a novel fast restoration mechanism for data-intensive applications in grid-enabled optical networks", Proc. SPIE 6784, Network Architectures, Management, and Applications V, 678414 (19 November 2007); https://doi.org/10.1117/12.743128

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available