Caching and scheduling in NAD-based multimedia servers

Multimedia-on-demand (MOD) applications have grown dramatically in popularity, especially in the domains of education, business, and entertainment. Current MOD servers waste precious resources in performing store-and-forward copying. This excessive overhead increases cost and severely limits the sca...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems 2004-10, Vol.15 (10), p.921-933
Main Authors: Sarhan, N.J., Das, C.R.
Format: Article
Language:English
Subjects:
Bandwidth
Batching
Broadcasting
Caching
Computer simulation
Costs
Disks
Distributed Interval Caching (DIC)
File servers
Intervals
Multi-Objective Scheduling (MOS)
Multimedia communication
Multimedia-on-Demand (MOD)
Network servers
Network-Attached Disks (NAD)
Policies
Reproduction
Resource management
Scalability
Scheduling
Servers
Streaming media
Studies
Video sharing
Video-on-Demand (VOD)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Multimedia-on-demand (MOD) applications have grown dramatically in popularity, especially in the domains of education, business, and entertainment. Current MOD servers waste precious resources in performing store-and-forward copying. This excessive overhead increases cost and severely limits the scalability of these servers. In this paper, we propose using the network-attached disk (NAD) architecture to design highly scalable and cost-effective MOD servers. In order to ensure enhanced performance, we propose a scheme, called distributed interval caching (DIG), which utilizes the on-disk buffers for caching intervals between successive streams. We also propose another scheme, called multiobjective scheduling (MOS), which increases the degrees of resource sharing by scheduling the waiting requests for service intelligently. We then integrate the two schemes and study the overall performance benefits through extensive simulation. The results demonstrate that the integrated policy works very well in increasing the number of customers that can be serviced concurrently while decreasing their waiting times for service. The performance benefits vary with several architectural, system workload, and scheduling parameters. We conclude this study by developing an analytical model for ideal DIG in order to estimate the performance limits which may be achieved through various optimizations.
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2004.49