Hierarchical Storage Management in a Distributed VOD System
IEEE MultiMedia
Optimal allocation of electronic content
Computer Networks: The International Journal of Computer and Telecommunications Networking
Design and implementation of a distributed content management system
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Storage Allocation in Unreliable Peer-to-Peer Systems
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
From content distribution networks to content networks - issues and challenges
Computer Communications
On the optimization of storage capacity allocation for content distribution
Computer Networks: The International Journal of Computer and Telecommunications Networking
A cost-effective allocation scheme for contents and video servers in content networks
IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
Object replication strategies in content distribution networks
Computer Communications
An IPTV service delivery model using novel virtual network topology
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Cost analysis on IPTV hosting service for 3rd party providers
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
CEA: A Cyclic Expansion Algorithm for data migration in parallel video servers
Journal of Parallel and Distributed Computing
Provisioning virtual IPTV delivery networks using hybrid genetic algorithm
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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This study presents a cost-effective resource allocation approach, which takes the storage and bandwidth costs into consideration, for the proposed content network. The designed content network for supporting IPTV services is composed of several peer service areas, and all video servers are classified into two types - Type 1 and Type 2. Type 1 video servers only store the contents with high hit rates, while Type 2 video servers store other contents with lower hit rates. A novel scheme that allocates contents and video servers based on the hit rate distribution is proposed. The allocation strategy aims at minimizing the cost of the proposed content network. Numerical results show that the optimal resource allocation is strongly related to the hit rate distribution of contents, but is not sensitive to the content size distribution. Additionally, compared with the fully replicated storage method, the proposed allocation scheme can save a considerable percentage of storage space and reduce the total cost of the content network. Based on these findings, we believe that implementing the proposed resource allocation and management scheme will be of benefit to content network operators, especially to infrastructure-based IPTV operators, for reducing the operating expenses.