By Topic

Exploring Gate-Limited Analytical Models for High Performance Network Storage Servers

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
$33 $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

3 Author(s)
Mapp, G. ; Sch. of Eng. & Inf. Sci., Middlesex Univ., London, UK ; Thakker, D. ; Gemikonakli, O.

The use of network-based streaming applications such as YouTube and BBC iPlayer is rapidly increasing. These applications consume data at very high rates and so quality- of-service (QoS) support is necessary to ensure that they do not stall. Since the access pattern of streaming applications is highly sequential, prefetching can be employed to improve overall performance. For network access, clustering can be used to optimize prefetching. In addition, it is necessary to satisfy demand missses promptly or else non-streaming applications will be delayed. Designing a new high-performance storage system to meet these demands require the development of new analytical models. These models will be used to explore new algorithms for network-based storage that can deliver the required QoS to support streaming environments. In this paper a detailed gate-limited bulk service queueing model based on Markov chains is explored and a numeric solution is demonstrated for simple scenarios. The analysis is then applied to a high performance network-based storage server being developed here at Middlesex University. Quantitative results are presented which compare favourably with simulation.

Published in:

Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on

Date of Conference:

3-6 Aug. 2009