Semi-fluid: a content distribution model for faster dissemination of data
| dc.contributor.author | Saleh, Salah Noori | |
| dc.date.accessioned | 2015-05-26T07:44:33Z | |
| dc.date.available | 2015-05-26T07:44:33Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | This thesis proposes and implements a novel content distribution model for reducing or minimizing delay in data dissemination. Currently, content distribution is based on two models: the Fluid model and the Chunk model. The Fluid model provides continuous transferring of the content from the source to multiple receivers: For high throughput, a receiving node should distribute a bit once it has received that bit. However, working with the Fluid model in a heterogeneous network needs special care because the model incorporates tightly coupled connections between adjacent nodes. This imposes fundamental performance limitations, such as dragging down all transfer rates in the system to the rate of the slowest receiving node. In the Chunk model, contents are first chopped into pieces of equal size and the subsequent distribution happens in pieces. That is, a node will not distribute a piece until it has fully received that piece. A Chunk model is a loosely coupled connections; a node will not distribute a chunk until it has fully received that chunk, making nodes wait to receive the entire chunk before they can start distributing it. This becomes untenable because content transfer may take a long time and during this time the upload capacity of downloading nodes is unutilized. Delay is critical for real-time and interactive applications. A poor content distribution model could result in considerably longer distribution time, while a good model could shorten the completion time and efficiently utilize resources like network bandwidth. The novel Semi-Fluid content distribution model proposed in this thesis will distribute chunk content in different heterogeneous networks in a fluid manner, without having any backpressure caused by Fluid content distribution model, or encountering chunk transition delay caused by Chunk content distribution model, by optimizing the existing (Chunk and Fluid) content distribution models, and enabling better utilization of node's resource, such as local storage and bandwidth. Mathematical proof and real implementation test results show that our proposed Semi-Fluid content distribution model finds an optimal solution for all cases tested in heterogeneous networks. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/747 | |
| dc.language.iso | en | en_US |
| dc.title | Semi-fluid: a content distribution model for faster dissemination of data | en_US |
| dc.type | Thesis | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: