Cart (Loading....) | Create Account
Close category search window
 

Performance prediction of a weighted capacity sharing scheme for grid bulk data transfers using a multi-service queue

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ullah, I. ; Nat. Univ. of Comput. & Emerging Sci. (NUCES), Islamabad, Pakistan ; Munir, K.

Applications in high-speed networks like Grids often require to transfer large volumes of data to remote locations under certain time constraints. This requires a network reservation, mechanism for the large data transfer requests. It is possible that some network capacity is available even after fulfilling the capacity requirements of the requests. The sharing of the available network capacity, called residual capacity, has direct impact on the actual time taken to serve a request. In this paper, we propose a novel weighted capacity sharing model to predict the performance of the deadline-constrained data transfers. A weighted sharing scheme is desirable since a request with higher capacity requirement should get higher share of the residual capacity than that of a request with lower capacity requirement in order to reduce its transfer time. We calculate the blocking probabilities and mean flow time using our scheme and compare the results with an existing scheme of equal residual capacity sharing. The results show that weighted-sharing scheme is better than equal capacity-sharing scheme as it reduces the mean transfer time of requests of a higher capacity requirement class. We also validate the model through simulations.

Published in:

Emerging Technologies (ICET), 2011 7th International Conference on

Date of Conference:

5-6 Sept. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.