- Title
- Evaluating compression as an enabler for centralised monitoring in a Next Generation Network
- Creator
- Otten, Fred, Irwin, Barry V W, Slay, Hannah
- Date
- 2007
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/428226
- Identifier
- vital:72495
- Identifier
- https://citeseerx.ist.psu.edu/document?repid=rep1andtype=pdfanddoi=f9ed69db7da44c168082934cd4ea5a413b2bf7f5
- Description
- With the emergence of Next Generation Networks and a large number of next generation services, the volume and diversity of information is on the rise. These networks are often large, distributed and consist of het-erogeneous devices. In order to provide effective centralised monitoring and control we need to be able to assemble the relevant data at a cen-tral point. This becomes difficult because of the large quantity of data. We also would like to achieve this using the least amount of bandwidth, and minimise the latency. This paper investigates using compression to enable centralised monitoring and control. It presents the results of ex-periments showing that compression is an effective method of data re-duction, resulting in up to 93.3 percent reduction in bandwidth usage for point-to-point transmission. This paper also describes an architecture that incorporates compression and provides centralised monitoring and control.
- Format
- 5 pages, pdf
- Language
- English
- Relation
- Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC), Otten, F., Irwin, B. and Slay, H., 2007. Evaluating compression as an enabler for centralised monitoring in a Next Generation Network. In Proc. of SATNAC (Vol. 2007), Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC) volume 2007 number 1 1 5 2007 Conference
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) Statement (https://www.satnac.org.za/)
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- Visitors: 17
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Collections
Irwin, Barry V W (Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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|---|---|---|---|---|---|---|---|
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